Porwal, Prasanna
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1

Cellular Features Based Interpretable Network for Classifyi..:

, In: Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops; Lecture Notes in Computer Science,
Gu, Qiangqiang ; Shaikh, Nazim ; Lin, Ping-chang... - p. 98-106 , 2023
 
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Retinal vasculature segmentation and measurement framework ..:

Pachade, Samiksha ; Porwal, Prasanna ; Kokare, Manesh..
Biocybernetics and Biomedical Engineering.  40 (2020)  3 - p. 865-900 , 2020
 
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Laser Scar Classification in Retinal Fundus Images Using Wa..:

, In: Computer Vision and Machine Intelligence in Medical Image Analysis; Advances in Intelligent Systems and Computing,
Raut, Rashmi ; Sapate, Visharad ; Rokde, Abhay... - p. 81-90 , 2019
 
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10

A Novel Method to Detect Fovea from Color Fundus Images:

, In: Advances in Intelligent Systems and Computing; Computing, Communication and Signal Processing,
 
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13

IDRiD: Diabetic Retinopathy: segmentation and grading chall..:

Porwal, Prasanna ; Pachade, Samiksha ; Kokare, Manesh...
Medical Image Analysis. -59 (2020), p. 1-26. -Med. Image Anal. - 1361-8415.  , 2020
 
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14

DeepDRiD: Diabetic Retinopathy—Grading and Image Quality Es..:

Ruhan Liu ; Xiangning Wang ; Qiang Wu...
http://www.sciencedirect.com/science/article/pii/S2666389922001040.  , 2022
 
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