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ORCIDInternational Journal of Imaging Systems and Technology, Volume 32
Volume 32, Number 1, January 2022
- Mohamed L. Seghier
:
Ten simple rules for reporting machine learning methods implementation and evaluation on biomedical data. 5-11 - Isaac Shiri, Hossein Arabi, Yazdan Salimi, Amirhossein Sanaat, Azadeh Akhavanallaf, Ghasem Hajianfar, Dariush Askari, Shakiba Moradi, Zahra Mansouri, Masoumeh Pakbin, Saleh Sandoughdaran, Hamid Abdollahi, Amir Reza Radmard, Kiara Rezaei-Kalantari, Mostafa Ghelich Oghli, Habib Zaidi:
COLI-Net: Deep learning-assisted fully automated COVID-19 lung and infection pneumonia lesion detection and segmentation from chest computed tomography images. 12-25 - Emine Cengil, Ahmet Çinar:
The effect of deep feature concatenation in the classification problem: An approach on COVID-19 disease detection. 26-40 - Sheikh Rafiul Islam, Santi P. Maity, Ajoy Kumar Ray, Mrinal Mandal:
Deep learning on compressed sensing measurements in pneumonia detection. 41-54 - Safa Ben Atitallah, Maha Driss, Wadii Boulila, Henda Ben Ghézala:
Randomly initialized convolutional neural network for the recognition of COVID-19 using X-ray images. 55-73 - Yu Fu, Peng Xue, Peng Zhao, Ning Li, Zhuodong Xu, Huizhong Ji, Zhili Zhang, Wentao Cui, Enqing Dong:
3D multi-resolution deep learning model for diagnosis of multiple pathological types on pulmonary nodules. 74-87 - Shubham Dodia, Annappa Basava, Mahesh Padukudru Anand:
A novel receptive field-regularized V-net and nodule classification network for lung nodule detection. 88-101 - Nasrin Amini, Ahmad Shalbaf:
Automatic classification of severity of COVID-19 patients using texture feature and random forest based on computed tomography images. 102-110 - Prabhakar Agarwal, Sandeep Kumar:
Electroencephalography based imagined alphabets classification using spatial and time-domain features. 111-122 - Kwabena Adu, Yongbin Yu, Jingye Cai, Isaac Asare, Jennifer Quahin:
The influence of the activation function in a capsule network for brain tumor type classification. 123-143 - Bo Fu, Yuhan Dong, Shilin Fu, Yuanxin Mao, Dang N. H. Thanh:
Learning domain transfer for unsupervised magnetic resonance imaging restoration and edge enhancement. 144-154 - Muhammed Yildirim, Ahmet Çinar:
Classification with respect to colon adenocarcinoma and colon benign tissue of colon histopathological images with a new CNN model: MA_ColonNET. 155-162 - Junghyun Song, Dongchan Kim, Yeji Han, Jun-Young Chung:
Comparative analysis of the kernel types in generalized autocalibrating partially parallel acquisition algorithms for accelerated three-dimensional magnetic resonance spectroscopic imaging data. 163-177 - Yaru Wang, Shihong Yue, Jun Chen, Qi Li:
Conductivity characteristics of human lung tissues. 178-191 - Sujit Kumar Das, Pinki Roy, Arnab Kumar Mishra:
Recognition of ischaemia and infection in diabetic foot ulcer: A deep convolutional neural network based approach. 192-208 - Hui Huang, Xi'an Feng, Jionghui Jiang, Peiyu Chen, Suying Zhou:
Mask RCNN algorithm for nuclei detection on breast cancer histopathological images. 209-217 - Belal Ahmad, Mohd Usama, Tanvir Ahmad, Shabnam Khatoon, Chaudhary Maqbool Alam:
An ensemble model of convolution and recurrent neural network for skin disease classification. 218-229 - Deepa Natarajan, Esakkirajan Sankaralingam, Keerthiveena Balraj, Selvakumar Karuppusamy:
A deep learning framework for glaucoma detection based on robust optic disc segmentation and transfer learning. 230-250 - Ridhma, Manvjeet Kaur, Sanjeev Sofat, Devendra K. Chouhan, Mahesh Prakash:
Automated measurement of sulcus angle on axial knee magnetic resonance images. 251-265 - Ying Zou, Jianxin Zhang, Shan Huang, Bin Liu:
Breast cancer histopathological image classification using attention high-order deep network. 266-279 - Pallavi Asthana, Madasu Hanmandlu, Sharda Vashisth:
Classification of brain tumor from magnetic resonance images using probabilistic features and possibilistic Hanman-Shannon transform classifier. 280-294 - Yanyan Shi, Zhiwei Tian, Meng Wang, Zuguang Rao, Feng Fu:
Reconstruction of conductivity distribution with a compound variational strategy in electrical impedance tomography. 295-306 - Sadia Anjum, Lal Hussain, Mushtaq Ali, Monagi H. Alkinani, Wajid Aziz, Sabrina Gheller, Adeel Ahmed Abbasi, Ali Raza Marchal, Harshini Suresh, Tim Q. Duong:
Detecting brain tumors using deep learning convolutional neural network with transfer learning approach. 307-323 - Arbab Sufyan, Muhammad Imran, Syed Attique Shah, Hamayoun Shahwani, Arbab Abdul Wadood:
A novel multimodality anatomical image fusion method based on contrast and structure extraction. 324-342 - Yigit Ali Üncü, Gençay Sevim, Murat Canpolat:
Approaches to preclinical studies with heterogeneous breast phantom using reconstruction and three-dimensional image processing algorithms for diffuse optical imaging. 343-353 - Gunjan Rajput, Shashank Agrawal, Gopal Raut, Santosh Kumar Vishvakarma:
An accurate and noninvasive skin cancer screening based on imaging technique. 354-368 - Xiaoming Liu, Shaocheng Wang, Jun Cao, Ying Zhang, Man Wang:
Uncertainty-guided self-ensembling model for semi-supervised segmentation of multiclass retinal fluid in optical coherence tomography images. 369-386 - Lamiaa Abdel-Hamid:
TWEEC: Computer-aided glaucoma diagnosis from retinal images using deep learning techniques. 387-401 - Ashokkumar S. R, Anupallavi S, MohanBabu G, M. Premkumar, V. Jeevanantham:
Emotion identification by dynamic entropy and ensemble learning from electroencephalogram signals. 402-413
Volume 32, Number 2, March 2022
- Shamik Tiwari, Anurag Jain:
A lightweight capsule network architecture for detection of COVID-19 from lung CT scans. 419-434 - Mehmet Kalayci, Hakan Ayyildiz, Seda Arslan Tuncer, Pinar Gundogan Bozdag, Gulden Eser Karlidag:
Can laboratory parameters be an alternative to CT and RT-PCR in the diagnosis of COVID-19? A machine learning approach. 435-443 - Summrina Kanwal, Faiza Khan, Sultan Alamri, Kia Dashtipour, Mandar Gogate:
COVID-opt-aiNet: A clinical decision support system for COVID-19 detection. 444-461 - Arun Kumar, Rajendra Prasad Mahapatra:
Detection and diagnosis of COVID-19 infection in lungs images using deep learning techniques. 462-475 - Said Yacine Boulahia, Mohamed Akrem Benatia, Abderrahmane Bouzar:
Att2ResNet: A deep attention-based approach for melanoma skin cancer classification. 476-489 - Zhirong Yang, Wenchuan Zhang:
Preoperative planning for jugular-foramen tumors: Preparation of a three-dimensional surgical drawing. 490-500 - U. Raghavendra, Anjan Gudigar, Tejaswi N. Rao, V. Rajinikanth, Edward J. Ciaccio, Chai Hong Yeong, Suresh Chandra Satapathy, Filippo Molinari, U. Rajendra Acharya:
Feature-versus deep learning-based approaches for the automated detection of brain tumor with magnetic resonance images: A comparative study. 501-516 - Yesim Eroglu, Muhammed Yildirim, Ahmet Çinar:
mRMR-based hybrid convolutional neural network model for classification of Alzheimer's disease on brain magnetic resonance images. 517-527 - Ying Fang, He Huang, Weiji Yang, Xiaomei Xu, Weiwei Jiang, Xiaobo Lai:
Nonlocal convolutional block attention module VNet for gliomas automatic segmentation. 528-543 - Stalin Babu Gedela, S. N. Tirumala Rao, R. Rajeswara Rao:
Automated assessment for Alzheimer's disease diagnosis from MRI images: Meta-heuristic assisted deep learning model. 544-563 - Jayesh George Melekoodappattu, Anto Sahaya Dhas, Binil Kumar K., K. S. Adarsh:
Malignancy detection on mammograms by integrating modified convolutional neural network classifier and texture features. 564-574 - Mina Mirjalili, Reza Zomorrodi, Zafiris J. Daskalakis, Sean L. Hill, Tarek K. Rajji:
Individualized real-time prediction of working memory performance by classifying electroencephalography signals. 575-589 - Ashraf Abuelhaija, Gameel Saleh, Osama Nashwan, Samer Issa, Sanaa Salama:
Multi- and dual-tuned microstripline-based transmit/receive switch for 7-Tesla magnetic resonance imaging. 590-599 - Bindu Madhavi Tummala, Soubhagya Sankar Barpanda:
Liver tumor segmentation from computed tomography images using multiscale residual dilated encoder-decoder network. 600-613 - Sally M. Elghamrawy, Aboul Ella Hassanien, Athanasios V. Vasilakos:
Genetic-based adaptive momentum estimation for predicting mortality risk factors for COVID-19 patients using deep learning. 614-628 - Lingraj Dora, Sanjay Agrawal, Rutuparna Panda, Ajith Abraham:
An efficient multiclass classifier for classification of Alzheimer's disease/mild cognitive impairment/Normal subjects. 629-641 - Cherifa Nabila Chaoui, Abdelghani Ghomari, Boudjelal Meftah:
Edge and anomaly detection of brain magnetic resonance images in a distributed environment. 642-657 - Safa Ben Atitallah, Maha Driss, Wadii Boulila, Anis Koubaa, Henda Ben Ghézala:
Fusion of convolutional neural networks based on Dempster-Shafer theory for automatic pneumonia detection from chest X-ray images. 658-672 - Tomás Pohl, Marek Jakab, Wanda Benesova:
Interpretability of deep neural networks used for the diagnosis of Alzheimer's disease. 673-686 - Sasikanth Shanmugam, Srinivasa Rao Surampudi:
A method for detecting and classifying the tumor regions in brain MRI images using vector index filtering and ANFIS classification process. 687-696
Volume 32, Number 3, May 2022
- Mohamed L. Seghier:
Demystifying desk rejection: A call to action for our authors. 701-703
- Thiyagarajan Padmapriya, Kalaiselvi Thiruvenkadam, Venugopal Priyadharshini:
Multimodal covid network: Multimodal bespoke convolutional neural network architectures for COVID-19 detection from chest X-ray's and computerized tomography scans. 704-716 - Orkun Eroglu, Muhammed Yildirim:
Automatic detection of eardrum otoendoscopic images in patients with otitis media using hybrid-based deep models. 717-727 - Fan Liu, Dongxiao Li, Xinyu Jin, Wenyuan Qiu:
Accelerated brain tumor dynamic contrast-enhanced MRI using Adaptive Pharmaco-Kinetic Model Constrained method. 728-739 - Neven Saleh, Manal Abdel Wahed, Ahmed M. Salaheldin:
Transfer learning-based platform for detecting multi-classification retinal disorders using optical coherence tomography images. 740-752 - Rahul Paul:
Topological features in addition to radiomics signature predict 1p19q status and tumor grade in low-grade gliomas. 753-766 - Limei Su, Shenjiao Huang, Zhengyin Wang, Zhiqin Zhang, Huajiang Wei, Tongsheng Chen:
Whole slide cervical image classification based on convolutional neural network and random forest. 767-777 - Vidya K. Sudarshan, Reshma A. Ramachandra, Nicole Si Min Tan, Smit Ojha, Ru San Tan:
VEntNet: Hybrid deep convolutional neural network model for automated multi-class categorization of chest X-rays. 778-797 - Yaroub Elloumi:
Cataract grading method based on deep convolutional neural networks and stacking ensemble learning. 798-814 - Anisha Arulappan, Ajith Bosco Raj Thankaraj:
Liver tumor segmentation using a new asymmetrical dilated convolutional semantic segmentation network in CT images. 815-830 - Mengkun Wu, Hao Sun, Zhenhui Sun, Xin Guo, Lunhui Duan, Yinglun Tan, Rui Cui:
A machine learning-based method for automatic diagnosis of ankle fracture using X-ray images. 831-842 - Muruganantham Manickam, Siva Rathinavelayatham, Saravanan Prabakeran, Kannan Geetha, Varadharajan Indumathi, Thirumaaran Sethukarasi:
Pulmonary disease diagnosis using African vulture optimized weighted support vector machine approach. 843-856 - Shaoguo Cui, Mingjun Wei, Chang Liu, Jingfeng Jiang:
GAN-segNet: A deep generative adversarial segmentation network for brain tumor semantic segmentation. 857-868 - Krishnamoorthy Sashi Rekha, Suthanthira Amalraj Miruna Joe Amali:
Efficient feature subset selection and classification using levy flight-based cuckoo search optimization with parallel support vector machine for the breast cancer data. 869-881 - Saurabh Shrikant Athalye, Gaurav Vijay:
Taylor series-based deep belief network for automatic classification of diabetic retinopathy using retinal fundus images. 882-901 - Zeeshan Ahmed, Shahbaz Qamar Panhwar, Attiya Baqai, Fahim Aziz Umrani, Munawar Ahmed, Arbaaz Khan:
Deep learning based automated detection of intraretinal cystoid fluid. 902-917 - Antony Dennis Ananth, Chenniappan Palanisamy:
Extended and optimized deep convolutional neural network-based lung tumor identification in big data. 918-934 - Mamta Juneja, Saasha Joshi, Naveen Singla, Shaurya Ahuja, Sumindar Kaur Saini, Niharika Thakur, Prashant Jindal:
Denoising of computed tomography using bilateral median based autoencoder network. 935-955 - Xiaofang Zhang, Bin Zhang, Xiaomin Liu, Jie Dong, Shujun Zhao, Suxiao Li:
Accurate classification of nodules and non-nodules from computed tomography images based on radiomics and machine learning algorithms. 956-968 - Shanshan Liu, Ruo Hu, Jianfang Wu, Xizheng Zhang, Jun He, Huimin Zhao, Huajia Wang, Xiangjun Li:
Research on data classification and feature fusion method of cancer nuclei image based on deep learning. 969-981 - Kiran Fiaz, Tahir Mustafa Madni, Fozia Anwar, Uzair Iqbal Janjua, Asra Rafi, Mian Muhammad Naeem Abid, Nasira Sultana:
Brain tumor segmentation and multiview multiscale-based radiomic model for patient's overall survival prediction. 982-999 - Nalini Bodasingi, Balaji Narayanam, Bhaskara Rao Jammu:
Automatic diagnosis of pneumonia using backward elimination method based SVM and its hardware implementation. 1000-1014 - Adel Abdelli, Rachida Saouli, Khalifa Djemal, Imane Youkana:
Multiple instance learning for classifying histopathological images of the breast cancer using residual neural network. 1015-1029
Volume 32, Number 4, July 2022
- Hyunsu Jeong, Hyunwook Kim, Jiwon Yoon, Kyungsup Go, Jeonghwan Gwak:
OVASO: Integrated binary CNN models to classify COVID-19, pneumonia and healthy lung in X-ray images. 1035-1048 - Durga Prasad Mannepalli, Varsha Namdeo:
An effective detection of COVID-19 using adaptive dual-stage horse herd bidirectional long short-term memory framework. 1049-1067 - Sevim Cengiz, Muhammed Yildirim, Abdullah Bas, Esin Ozturk-Isik:
ORYX-MRSI: A fully-automated open-source software for proton magnetic resonance spectroscopic imaging data analysis. 1068-1083 - Kushangi Atrey, Bikesh Kumar Singh, Abhijit Roy, Narendra Kuber Bodhey:
Real-time automated segmentation of breast lesions using CNN-based deep learning paradigm: Investigation on mammogram and ultrasound. 1084-1100 - Gunjan Rajput, Shashank Agrawal, Kunika Naresh Biyani, Santosh Kumar Vishvakarma:
Early breast cancer diagnosis using cogent activation function-based deep learning implementation on screened mammograms. 1101-1118 - Yusong Shen, Chaoen Hu, Peng Zhang, Jie Tian, Hui Hui:
A novel software framework for magnetic particle imaging reconstruction. 1119-1132 - Donghyuk Kim, Taewoo Nam, Daniel Hernández, Kyoung-Nam Kim:
Design of rectangular coaxial slot antenna for ultra-high-field magnetic resonance imaging. 1133-1142 - Ranpreet Kaur, Hamid Gholam Hosseini, Roopak Sinha:
Skin lesion segmentation using an improved framework of encoder-decoder based convolutional neural network. 1143-1158 - Ferdi Ozbilgin, Çetin Kurnaz:
An alternative approach for determining the cholesterol level: Iris analysis. 1159-1171 - Venkatesh Gauri Shankar, Dilip Singh Sisodia, Preeti Chandrakar:
A novel discriminant feature selection-based mutual information extraction from MR brain images for Alzheimer's stages detection and prediction. 1172-1191 - Tojo Mathew, B. Ajith, Jyoti R. Kini, Jeny Rajan:
Deep learning-based automated mitosis detection in histopathology images for breast cancer grading. 1192-1208 - Arnab Kumar Mishra, Pinki Roy, Sivaji Bandyopadhyay, Sujit Kumar Das:
CR-SSL: A closely related self-supervised learning based approach for improving breast ultrasound tumor segmentation. 1209-1220 - Fan Zhang, Junhua Zhu, Pengyi Hao, Fuli Wu, Yuanna Zheng:
BDU-net: Toward accurate segmentation of dental image using border guidance and feature map distortion. 1221-1230 - Lokesh Singh, Rekh Ram Janghel, Satya Prakash Sahu:
A hybrid feature fusion strategy for early fusion and majority voting for late fusion towards melanocytic skin lesion detection. 1231-1250 - Kaniska Samanta, Soumya Chatterjee, Rohit Bose:
Neuromuscular disease detection based on feature extraction from time-frequency images of EMG signals employing robust hyperbolic Stockwell transform. 1251-1262 - Sreedhar Kollem, Katta Rama Linga Reddy, Duggirala Srinivasa Rao, Chintha Rajendra Prasad, V. Malathy, J. Ajayan, Deboraj Muchahary:
Image denoising for magnetic resonance imaging medical images using improved generalized cross-validation based on the diffusivity function. 1263-1285 - Hanyuan Miao, Xiaohong Zhou, Wei Wang, Weiliang Jiang, Tao Jin:
Improved sparse representation algorithm for optical coherence tomography images. 1286-1293 - Xiongfei Jiao, Juan Li, Zhilei Zhao, Benjamin Badami:
An all-inclusive computer-aided melanoma diagnosis based on soft computing. 1294-1306 - M. Roy Reena, P. M. Ameer:
Identification of white blood cells for the diagnosis of acute myeloid leukemia. 1307-1317 - Komal Jindal, Rahul Upadhyay, Hari Shankar Singh:
A novel EEG channel selection and classification methodology for multi-class motor imagery-based BCI system design. 1318-1337 - Tanvi Dovedi, Rahul Upadhyay, Vinay Kumar:
Hybrid time-reassigned multisynchrosqueezing transform-Picard-based automated electroencephalography artifact correction methodology for brain-computer interface applications. 1338-1356 - Vedant Shukla, Prasad Khandekar, Arti Khaparde:
Estimation of Nonhomogeneous Noise in 2D Magnetic Resonance Imaging. 1357-1372 - Palanigurupackiam Nagaraj, Perumalsamy Deepalakshmi:
An intelligent fuzzy inference rule-based expert recommendation system for predictive diabetes diagnosis. 1373-1396 - Manoj Kumar Naik, Rutuparna Panda, Leena Samantaray, Ajith Abraham:
A novel threshold score based multiclass segmentation technique for brain magnetic resonance images using adaptive opposition slime mold algorithm. 1397-1413 - Egambaram Thirumagal, Saruladha Krishnamurthy:
Lung cancer classification using exponential mean saturation linear unit activation function in various generative adversarial network models. 1414-1428
Volume 32, Number 5, September 2022
- Gurram Sunitha, Arunachalam Rajesh, Mohammed Abd-Elnaby, Mahmoud M. A. Eid, Ahmed Nabih Zaki Rashed:
A comparative analysis of deep neural network architectures for the dynamic diagnosis of COVID-19 based on acoustic cough features. 1433-1446 - Muzaffer Aslan:
CoviDetNet: A new COVID-19 diagnostic system based on deep features of chest x-ray. 1447-1463 - Sachin Kumar, Sourabh Shastri, Shilpa Mahajan, Kuljeet Singh, Surbhi Gupta, Rajneesh Rani, Neeraj Mohan, Vibhakar Mansotra:
LiteCovidNet: A lightweight deep neural network model for detection of COVID-19 using X-ray images. 1464-1480 - Hasan Polat:
A modified DeepLabV3+ based semantic segmentation of chest computed tomography images for COVID-19 lung infections. 1481-1495 - J. Sahaya Jeniba, Arulappan Milton:
A multilevel self-attention based segmentation and classification technique using Directional Hexagonal Mixed Pattern algorithm for lung nodule detection in thoracic CT image. 1496-1510 - Cong Chao Bian, Ning Cao, Minghe Mao:
CSDL-Net: An iterative network based on compressed sensing and deep learning. 1511-1520 - Samla Salim, Sarath R.:
An improved invasive weed optimization enabled Shepard convolutional neural network for classification of breast cancer. 1521-1534 - Onkar Thorat, Siddharth Salvi, Shrey Dedhia, Chetashri Bhadane, Deepika Dongre:
Domain adaptation and weight initialization of neural networks for diagnosing interstitial lung diseases. 1535-1547 - Murat Firat, Cem Çankaya, Ahmet Çinar, Taner Tuncer:
Automatic detection of keratoconus on Pentacam images using feature selection based on deep learning. 1548-1560 - Thirumarai Selvi Chandraraju, Amudha Jeyaprakash:
Categorization of breast masses based on deep belief network parameters optimized using chaotic krill herd optimization algorithm for frequent diagnosis of breast abnormalities. 1561-1576 - Shi-jie Wang, Hua-qing Liu, Tao Yang, Ming-quan Huang, Bowen Zheng, Tao Wu, Lan-qing Han, Yong Zhang, Jie Ren:
Machine learning based on automated breast volume scanner (ABVS) radiomics for differential diagnosis of benign and malignant BI-RADS 4 lesions. 1577-1587 - Xin Yang, Li Liu, Tao Li:
MR-UNet: An UNet model using multi-scale and residual convolutions for retinal vessel segmentation. 1588-1603 - Hongfei Wang, Ping Yang, Chuan Xu, Lei Min, Shuai Wang, Bing Xu:
Lung CT image enhancement based on total variational frame and wavelet transform. 1604-1614 - M. B. Bijoy, Sai Manoj Akondi, S. Abdul Fathaah, Akash Raut, P. N. Pournami,