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ORCIDInternational Journal of Imaging Systems and Technology, Volume 34
Volume 34, Number 1, January 2024
RESEARCH ARTICLES
- Somiya Rani
, Amita Jain, Akshi Kumar, Guang Yang:
CCheXR-Attention: Clinical concept extraction and chest x-ray reports classification using modified Mogrifier and bidirectional LSTM with multihead attention. - Zhenming Yuan, Tianhao Xu, Cheng Yu, Xiaojun Ye, Jian Zhang:
Automatic measurement of fetal abdomen subcutaneous soft tissue thickness from ultrasound image based on a U-shaped attention network with morphological method. - Sijing Cai, Yuwei Xiao, Yanyu Wang:
Two-dimensional medical image segmentation based on U-shaped structure. - Hayoung Kim, Hoseong Cho, Weonjoon Lee, Keunbada Son, Kyu-Bok Lee, Mansik Jeon, Jeehyun Kim:
Development of handheld optical coherence tomography based on commercial intra-oral scanner shape for extended clinical utility in dentistry. - C. Sahaya Pushpa Sarmila Star, Arulappan Milton, T. M. Inbamalar:
An improved semantic segmentation for breast lesion from dynamic contrast enhanced MRI images using deep learning. - Wen Zhou, Jihong Wang, Yuhang Wang, Zijie Liu, Chen Yang:
CGS-Net: A classification-guided framework for automated infection segmentation of COVID-19 from CT images. - V. Karthikeyan, M. Navin Kishore, S. Sajin:
End-to-end light-weighted deep-learning model for abnormality classification in kidney CT images. - Komalpreet Kaur, Amanpreet Kaur:
In silico, in vitro, and in vivo validation of a microwave imaging system using a low-profile Ultra Wide Band Archimedean spiral antenna to detect skin cancer. - Suman Kumar Roy, Bhawana Rudra:
Quantum-inspired hybrid algorithm for image classification and segmentation: Q-Means++ max-cut method. - Rukiye Nur Kaçmaz, Refika Sultan Dogan, Bülent Yilmaz:
A comprehensive study on automatic non-informative frame detection in colonoscopy videos. - Sevket Ay, Ekin Ekinci, Zeynep Garip:
A brain tumour classification on the magnetic resonance images using convolutional neural network based privacy-preserving federated learning. - Liora Rosvin Dsilva, Shivani Harish Tantri, Niranjana Sampathila, Hilda Mayrose, G. Muralidhar Bairy, Sushma Belurkar, Kavitha Saravu, Krishnaraj Chadaga, Abdul Hafeez-Baig:
Wavelet scattering- and object detection-based computer vision for identifying dengue from peripheral blood microscopy. - M. Ramkumar, R. Sarath Kumar, R. Padmapriya, S. Karthick:
Brain tumor segmentation and survival time prediction using graph momentum fully convolutional network with modified Elman spike neural network. - V. Sivakumar, C. K. Yogesh, S. Vatchala, S. Kaliraj:
An efficient lung image classification and detection using spiral-optimized Gabor filter with convolutional neural network. - Anas Fouad Ahmed:
An efficient wavelet thresholding strategy and robust shrinkage approach for de-noising ECG signal. - Moona Mazher, Abdul Qayyum, Domenec Puig, Mohamed Abdel-Nasser:
Deep learning-based survival prediction of brain tumor patients using attention-guided 3D convolutional neural network with radiomics approach from multimodality magnetic resonance imaging. - Naeem Ullah, Muhammad Hassan, Javed Ali Khan, Muhammad Shahid Anwar, Khursheed Aurangzeb:
Enhancing explainability in brain tumor detection: A novel DeepEBTDNet model with LIME on MRI images. - Zeeshan Ali, Muhammad Attique Khan, Ameer Hamza, Ahmed Ibrahim Alzahrani, Nasser Alalwan, Mohammad Shabaz, Faheem Khan:
A deep learning-based x-ray imaging diagnosis system for classification of tuberculosis, COVID-19, and pneumonia traits using evolutionary algorithm. - Haiyan Li, Xu Wang, Yiyin Tang, Shuhua Ye:
BCUIS-Net: A breast cancer ultrasound image segmentation network via boundary-aware and shape feature fusion. - Manish Sharma, Harsh Lodhi, Rishita Yadav, U. Rajendra Acharya:
Sleep disorder identification using wavelet scattering on ECG signals. - A. M. Vidhyalakshmi, M. Kanchana:
Skin cancer classification using improved transfer learning model-based random forest classifier and golden search optimization. - Karishma Rao, Manu Bansal, Gagandeep Kaur:
An optimal system for increasing the contrast resolution qualities of histopathology images in the wavelet domain. - Rajat Mehrotra, M. A. Ansari, Rajeev Agrawal, Hisham Al-Ward, Pragati Tripathi, Jay Singh:
An enhanced framework for identifying brain tumor using discrete wavelet transform, deep convolutional network, and feature fusion-based machine learning techniques. - Wei Guo, Xiaomin Li, Zhaoxuan Gong, Guodong Zhang, Xiran Jiang:
Multiloss strategy for breast cancer subtype classification using digital breast tomosynthesis. - Priyanka Datta, Rajesh Rohilla:
Brain tumor image pixel segmentation and detection using an aggregation of GAN models with vision transformer. - Massimo Salvi, Nicola Michielli, Kristen M. Meiburger, Cristina Cattelino, Bruna Cotrufo, Matteo Giacosa, Chiara Giovanzana, Filippo Molinari:
cyto-Knet: An instance segmentation approach for multiple myeloma plasma cells using conditional kernels. - Maria Maddalena Autorino, Stefano Franceschini, Michele Ambrosanio, Vito Pascazio, Fabio Baselice:
Intra voxel analysis in magnetic resonance imaging via deep learning. - Vaibhav Soni, Nikhil Kumar Singh, Rishi Kumar Singh, Deepak Singh Tomar:
Multiencoder-based federated intelligent deep learning model for brain tumor segmentation. - Saif Ur Rehman Khan, Ming Zhao, Sohaib Asif, Xuehan Chen:
Hybrid-NET: A fusion of DenseNet169 and advanced machine learning classifiers for enhanced brain tumor diagnosis. - R. Karthik, R. Menaka, M. V. Siddharth, Sameeha Hussain, P. Siddharth, Daehan Won:
HMARNET - A Hierarchical Multi-Attention Residual Network for Gleason scoring of prostate cancer. - Hakan Amasya, Prashant Prakash Jaju, Matvey Ezhov, Maxim Gusarev, Cemal Atakan, Alex Sanders, David Manulius, Maria Golitskya, Kriti Shrivastava, Ajita Singh, Anuja Gupta, Merve Önder, Kaan Orhan:
Development and validation of an artificial intelligence software for periodontal bone loss in panoramic imaging. - Shang Miao, Qun Xu, Weimin Li, Chao Yang, Bin Sheng, Fangyu Liu, Tsigabu T. Bezabih, Xiao Yu:
MMTFN: Multi-modal multi-scale transformer fusion network for Alzheimer's disease diagnosis. - Shanglei Gao, Yinwei Zhan, Zijun Chen:
BGNet: Boundary-guided network for polyp segmentation. - Chengzhun Lu, Zhangrun Xia, Krzysztof Przystupa, Orest Kochan, Jun Su:
DCELANM-Net: Medical image segmentation based on dual channel efficient layer aggregation network with learner. - Cheng Chang, Hao Sun, Xin Guo, Zhenhui Sun, Mengkun Wu, Minghuan Yin, Baichuan An, Chao Zhuang:
An automatic measurement method for ankle key angles based on point cloud segmentation network. - Yong Zhang, Yan Luo, Li Qiu, Qiang Lu, Xiao Lu:
Remote ultrasound real-time consultation and quality control system. - Geetha Pavani Pappu, Prashanth Gowri Shankar Uppudi, Birendra Biswal, Srinivasa Rao Kandula, Meher Savedasa Dhavala, Giri Madhav Potturi, Paila Sai Sharat, Sridevi Polapragada, Nagadhara Harini Datti:
Shell-Net: A robust deep neural network for the joint segmentation of retinal fragments. - J. Kowsalyadevi, P. Geetha:
Predicting coronary artery disease using learning rate based snow leopard optimization with soft swish scaling based bidirectional long short-term memory. - Ahmet Çinar, Merve Erkus, Taner Tuncer, Hakan Ayyildiz, Seda Arslan Tuncer:
YOLOv5 based detector for eight different urine particles components on single board computer. - Salomi Selvadass, P. Malin Bruntha, K. Martin Sagayam, Hatira Günerhan:
SAtUNet: Series atrous convolution enhanced U-Net for lung nodule segmentation. - Yiyang Zhao, Jinjiang Li, Yepeng Liu:
Dynamic weight HiLo attention network for medical image multiple organ segmentation. - Qiaohong Liu, Yuanjie Lin, Xiaoxiang Han, Keyan Chen, Weikun Zhang, Hui Yang:
Dual-branch feature extraction network combined with Transformer and CNN for polyp segmentation. - Amar Shukla, Rajeev Tiwari, Shamik Tiwari:
Structural biomarker-based Alzheimer's disease detection via ensemble learning techniques. - Qiming He, Chengjiang Wang, Siqi Zeng, Zhendong Liang, Hufei Duan, Jingying Yang, Feiyang Pan, Yonghong He, Wenting Huang, Tian Guan:
Registration-enhanced multiple instance learning for cervical cancer whole slide image classification. - Lakshmi Prasanna Kothala, Sitaramanjaneya Reddy Guntur:
An efficient stacked bidirectional GRU-LSTM network for intracranial hemorrhage detection. - Elias Ramzani, Meisam Yadollahzadeh Tabari, Mehdi Golsorkhtabaramiri, Ali A. Pouyan:
Diagnosing of Parkinson's disease based on hand drawing analysis using Bi-Directional LSTM equipped with fuzzy inferential soft-max classifier. - Asif Raza, Mohammed S. Alshehri, Sultan Almakdi, Ali Akbar Siddique, Mohammad Alsulami, Majed Alhaisoni:
Enhancing brain tumor classification with transfer learning: Leveraging DenseNet121 for accurate and efficient detection. - Tarun Agrawal, Prakash Choudhary, Achyut Shankar, Prabhishek Singh, Manoj Diwakar:
MultiFeNet: Multi-scale feature scaling in deep neural network for the brain tumour classification in MRI images. - Payal Malik, Ankit Vidyarthi:
Stacked deep model-based classification of the multiclass brain hemorrhages in CT scans. - K. Gayathri, N. Uma Maheswari, R. Venkatesh, Ahilan Appathurai:
Automatic left ventricle segmentation via edge-shape feature-based fully convolutional neural network. - A. Jayachandran, S. Ratheesh Kumar:
Microaneurysm classification system in color fundus images using auto-weight dilated convolutional network. - Sohaib Asif, Saif Ur Rehman Khan, Xiaolong Zheng, Ming Zhao:
MozzieNet: A deep learning approach to efficiently detect malaria parasites in blood smear images. - Hafiz Muhammad Tayyab Khushi, Tehreem Masood, M. Arfan Jaffar, Sheeraz Akram, Sohail Masood Bhatti:
Performance analysis of state-of-the-art CNN architectures for brain tumour detection. - Ngangbam Herojit Singh, N. R. Gladiss Merlin, R. Thandaiah Prabu, Deepak Gupta, Meshal Alharbi:
Multi-classification of brain tumor by using deep convolutional neural network model in magnetic resonance imaging images. - Ritesh Maurya, Nageshwar Nath Pandey, Rakesh Chandra Joshi, Malay Kishore Dutta:
MacD-Net: An automatic guided-ensemble approach for macular pathology detection using optical coherence tomography images. - Ismail Omar Hababeh, Lina R. Hammad, Mohammad I. Daoud, Mahasen Al-Najar:
Empowering ultrasound image filtering precision by reducing speckles and preserving edge cues. - K. Radha, Karuna Yepuganti:
Retinal vessel segmentation to diagnose diabetic retinopathy using fundus images: A survey. - Mohammed Aloraini:
An effective human monkeypox classification using vision transformer. - Bakhtiar Amaludin, Seifedine Kadry, Fung Fung Ting, David Taniar:
Toward more accurate diagnosis of multiple sclerosis: Automated lesion segmentation in brain magnetic resonance image using modified U-Net model. - Shenglun Wang, Chun Ding, Zhaoze Wang, Lu Shen, Junsong Wang:
Using normalized echo state network to detect abnormal ECG patterns. - Lekshmy P. Chandran, Abdul Nazeer Kochannan Parampil Abdul Rahiman, Niyas Puzhakkal, Dinesh Makuni:
A 3D U-Net based two stage deep learning framework for predicting dose distributions in radiation treatment planning. - Velappan Subha, G. Gomathi, A. Manivanna Boopathi:
An exploration of ventricle regions segmentation and multiclass disease detection using cardiac MRI. - Muhamed Jishad Thrikkannoor Kolathod, M. Sanjay:
Use of covariance matrix images for electroencephalography signal classification for multiclass motor imagery-based brain computer interface. - Baiju Karun, Thiyagarajan Arun Prasath, M. Pallikonda Rajasekaran, Rakhee Makreri:
Glioma detection using EHO based FLAME clustering in MR brain images. - Dan Liang, Yangjun Pi, Kai Hu, Yuguo Cui, Ye Huang, Dongtai Liang, Shi-Liang Feng:
Accurate and fast extraction of adhesive cells based on concave points detection and matching.
CORRECTION
- Correction to "Automated detection and classification of skin diseases using diverse features and improved gray wolf-based multiple-layer perceptron neural network".
RESEARCH ARTICLES
- Kamesh Sonti, Ravindra Dhuli:
Diagnosis of glaucoma from retinal fundus images using disc localization and sequential DNN model.
Volume 34, Number 2, March 2024
RESEARCH ARTICLES
- Jingpu Wu, Qianqi Huang, Yiqing Shen, Pengfei Guo, Jinyuan Zhou, Shanshan Jiang:
Radiomic feature reliability of amide proton transfer-weighted MR images acquired with compressed sensing at 3 T. - Li Sze Chow, Martyn Nigel James Paley, Simon J. Hickman:
Evaluation of optimal interpolation and segmentation of the optic nerves on magnetic resonance images for cross-sectional area measurement. - Isaac Shiri, Yazdan Salimi, Abdollah Saberi, Masoumeh Pakbin, Ghasem Hajianfar, Atlas Haddadi Avval, Amirhossein Sanaat, Azadeh Akhavanallaf, Shayan Mostafaei, Zahra Mansouri, Dariush Askari, Mohammadreza Ghasemian, Ehsan Sharifipour, Saleh Sandoughdaran, Ahmad Sohrabi, Elham Sadati, Somayeh Livani, Pooya Iranpour, Shahriar Kolahi, Bardia Khosravi, Maziar Khateri, Salar Bijari, Mohammad Reza Atashzar, Sajad P. Shayesteh, Mohammadreza Babaei, Elnaz Jenabi, Mohammad Hasanian, Alireza Shahhamzeh, Seyed Yaser Foroghi Ghomi, Abolfazl Mozafari, Hesamaddin Shirzad-Aski, Fatemeh Movaseghi, Rama Bozorgmehr, Neda Goharpey, Hamid Abdollahi, Parham Geramifar, Amir Reza Radmard, Hossein Arabi, Kiara Rezaei-Kalantari, Mehrdad Oveisi, Arman Rahmim, Habib Zaidi:
Differentiation of COVID-19 pneumonia from other lung diseases using CT radiomic features and machine learning: A large multicentric cohort study.
RETRACTION
- Retraction: Optimal brain tumor diagnosis based on deep learning and balanced sparrow search algorithm.
RESEARCH ARTICLES
- Jothiraj Selvaraj, A. K. Jayanthy:
Design and development of artificial intelligence-based application programming interface for early detection and diagnosis of colorectal cancer from wireless capsule endoscopy images.
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