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Publication search results
found 19 matches
- 2023
- Amit Bhati, Neha Gour, Pritee Khanna, Aparajita Ojha:
Discriminative kernel convolution network for multi-label ophthalmic disease detection on imbalanced fundus image dataset. Comput. Biol. Medicine 153: 106519 (2023) - Sachin Panchal, Ankita Naik, Manesh Kokare, Samiksha Pachade, Rushikesh Naigaonkar, Prerana Phadnis, Archana Bhange:
Retinal Fundus Multi-Disease Image Dataset (RFMiD) 2.0: A Dataset of Frequently and Rarely Identified Diseases. Data 8(2): 29 (2023) - José Luis Vázquez Noguera, Julio César Mello Román, Diego P. Pinto-Roa, Santiago Gómez, Jordan Ayala, Diego Aquino-Brítez, Pedro E. Gardel-Sotomayor, Miguel García-Torres, Jacques Facon, Verónica Elisa Castillo Benitez, Ingrid Castro Matto, Pastor Pérez-Estigarribia:
Multiclass Diabetic Retinopathy Classification of Eye Fundus Images Small Datasets Performance Improvement - A Neuroevolution Approach. CLEI 2023: 1-10 - Riley Kiefer, Muhammad R. Abid, Jessica Steen, Mahsa Raeisi Ardali, Ehsan Amjadian:
A Catalog of Public Glaucoma Datasets for Machine Learning Applications: A detailed description and analysis of public glaucoma datasets available to machine learning engineers tackling glaucoma-related problems using retinal fundus images and OCT images. ICISDM 2023: 24-31 - Sachin Panchal, Ankita Naik, Manesh Kokare, Samiksha Pachade, Rushikesh Naigaonkar, Prerana Phadnis, Archana Bhange:
Retinal Fundus Multi-Disease Image Dataset (RFMiD) 2.0. IEEE DataPort, 2023 - Fangxin Shang, Jie Fu, Yehui Yang, Haifeng Huang, Junwei Liu, Lei Ma:
SynFundus: A synthetic fundus images dataset with millions of samples and multi-disease annotations. CoRR abs/2312.00377 (2023) - 2022
- Sachin Panchal, Manesh Kokare:
Logarithmic Progressive-SMOTE: Oversampling Minorities in Retinal Fundus Multi-disease Image Dataset. CVIP (1) 2022: 375-389 - Matteo Menolotto, Mario E. Giardini:
The Use of Datasets of Bad Quality Images to Define Fundus Image Quality. EMBC 2022: 504-507 - Amit Bhati, Neha Gour, Pritee Khanna, Aparajita Ojha:
Discriminative Kernel Convolution Network for Multi-Label Ophthalmic Disease Detection on Imbalanced Fundus Image Dataset. CoRR abs/2207.07918 (2022) - 2021
- Samiksha Pachade, Prasanna Porwal, Dhanshree Thulkar, Manesh Kokare, Girish Deshmukh, Vivek Sahasrabuddhe, Luca Giancardo, Gwenolé Quellec, Fabrice Mériaudeau:
Retinal Fundus Multi-Disease Image Dataset (RFMiD): A Dataset for Multi-Disease Detection Research. Data 6(2): 14 (2021) - Samiksha Pachade, Prasanna Porwal, Dhanshree Thulkar, Manesh Kokare, Girish Deshmukh, Vivek Sahasrabuddhe, Luca Giancardo, Gwenolé Quellec, Fabrice Mériaudeau:
Retinal Fundus Multi-disease Image Dataset (RFMiD). IEEE DataPort, 2021 - 2020
- Shujun Wang, Lequan Yu, Kang Li, Xin Yang, Chi-Wing Fu, Pheng-Ann Heng:
DoFE: Domain-Oriented Feature Embedding for Generalizable Fundus Image Segmentation on Unseen Datasets. IEEE Trans. Medical Imaging 39(12): 4237-4248 (2020) - Catarina B. Carvalho, João Pedrosa, Carolina Maia, Susana Penas, Ângela Carneiro, Luís Mendonça, Ana Maria Mendonça, Aurélio Campilho:
A Multi-dataset Approach for DME Risk Detection in Eye Fundus Images. ICIAR (2) 2020: 285-298 - Muhammad Naseer Bajwa, Gur Amrit Pal Singh, Wolfgang Neumeier, Muhammad Imran Malik, Andreas Dengel, Sheraz Ahmed:
G1020: A Benchmark Retinal Fundus Image Dataset for Computer-Aided Glaucoma Detection. IJCNN 2020: 1-7 - D. Jeba Derwin, B. Priestly Shan:
DIABETIC RETINOPATHY- FUNDUS IMAGE DATASET(AGAR300). IEEE DataPort, 2020 - Muhammad Naseer Bajwa, Gur Amrit Pal Singh, Wolfgang Neumeier, Muhammad Imran Malik, Andreas Dengel, Sheraz Ahmed:
G1020: A Benchmark Retinal Fundus Image Dataset for Computer-Aided Glaucoma Detection. CoRR abs/2006.09158 (2020) - Shujun Wang, Lequan Yu, Kang Li, Xin Yang, Chi-Wing Fu, Pheng-Ann Heng:
DoFE: Domain-oriented Feature Embedding for Generalizable Fundus Image Segmentation on Unseen Datasets. CoRR abs/2010.06208 (2020) - 2017
- Mijung Kim, Jasper Zuallaert, Wesley De Neve:
Few-shot Learning Using a Small-Sized Dataset of High-Resolution FUNDUS Images for Glaucoma Diagnosis. MMHealth@MM 2017: 89-92 - 2012
- Luca Giancardo, Fabrice Mériaudeau, Thomas P. Karnowski, Yaqin Li, Seema Garg, Kenneth W. Tobin, Edward Chaum:
Exudate-based diabetic macular edema detection in fundus images using publicly available datasets. Medical Image Anal. 16(1): 216-226 (2012)
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