G
Girish Deshmukh
Publications - 5
Citations - 735
Girish Deshmukh is an academic researcher. The author has contributed to research in topics: Diabetic retinopathy & Population. The author has an hindex of 5, co-authored 5 publications receiving 312 citations.
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Journal ArticleDOI
Indian Diabetic Retinopathy Image Dataset (IDRiD): A Database for Diabetic Retinopathy Screening Research
Prasanna Porwal,Samiksha Pachade,Ravi Kamble,Manesh Kokare,Girish Deshmukh,Vivek Sahasrabuddhe,Fabrice Meriaudeau +6 more
TL;DR: The IDRiD (Indian Diabetic Retinopathy Image Dataset), is the first database representative of an Indian population and makes it perfect for development and evaluation of image analysis algorithms for early detection of diabetic retinopathy.
Journal ArticleDOI
IDRiD: Diabetic Retinopathy – Segmentation and Grading Challenge
Prasanna Porwal,Prasanna Porwal,Samiksha Pachade,Manesh Kokare,Girish Deshmukh,Jaemin Son,Woong Bae,Lihong Liu,Jianzong Wang,Xinhui Liu,Liangxin Gao,Tian Bo Wu,Jing Xiao,Fengyan Wang,Baocai Yin,Yunzhi Wang,Gopichandh Danala,Linsheng He,Yoon-Ho Choi,Yeong Chan Lee,Sang Hyuk Jung,Zhongyu Li,Xiaodan Sui,Junyan Wu,Xiaolong Li,Ting Zhou,Janos Toth,Agnes Baran,Avinash Kori,Sai Saketh Chennamsetty,Mohammed Safwan,Varghese Alex,Xingzheng Lyu,Li Cheng,Qinhao Chu,Pengcheng Li,Xin Ji,Sanyuan Zhang,Shen Yaxin,Ling Dai,Oindrila Saha,Rachana Sathish,Tânia Melo,Teresa Araújo,Balazs Harangi,Bin Sheng,Ruogu Fang,Debdoot Sheet,Andras Hajdu,Yuanjie Zheng,Ana Maria Mendonça,Shaoting Zhang,Aurélio Campilho,Bin Zheng,Dinggang Shen,Luca Giancardo,Gwenole Quellec,Fabrice Meriaudeau +57 more
TL;DR: The set-up and results of this challenge that is primarily based on Indian Diabetic Retinopathy Image Dataset (IDRiD), which received a positive response from the scientific community, have the potential to enable new developments in retinal image analysis and image-based DR screening in particular.
Journal ArticleDOI
Retinal Fundus Multi-Disease Image Dataset (RFMiD): A Dataset for Multi-Disease Detection Research
Samiksha Pachade,Prasanna Porwal,Dhanshree Thulkar,Manesh Kokare,Girish Deshmukh,Vivek Sahasrabuddhe,Luca Giancardo,Gwenole Quellec,Fabrice Meriaudeau +8 more
TL;DR: The Retinal Fundus Multi-disease Image Dataset (RFMiD) as mentioned in this paper is the only publicly available dataset that constitutes such a wide variety of diseases that appear in routine clinical settings.
Journal ArticleDOI
Localization of optic disc and fovea in retinal images using intensity based line scanning analysis.
TL;DR: The proposed method is highly efficient in terms of quickly and accurately localizing OD and fovea structure together compared with the other state-of-the-art methods.