Improved Microaneurysm Detection using Deep Neural Networks

17 May 2015

Papers citing "Improved Microaneurysm Detection using Deep Neural Networks"

9 / 9 papers shown

Title
A comprehensive survey on computer-aided diagnostic systems in diabetic retinopathy screening M. Tavakoli Patrick Kelley 19 1 0 03 Aug 2022
Robust Collaborative Learning of Patch-level and Image-level Annotations for Diabetic Retinopathy Grading from Fundus Image Yehui Yang Fangxin Shang Binghong Wu Dalu Yang Lei Wang Yanwu Xu Wensheng Zhang Tianzhu Zhang MedIm 16 52 0 03 Aug 2020
Multi-scale Microaneurysms Segmentation Using Embedding Triplet Loss Mhd Hasan Sarhan Shadi Albarqouni Mehmet Yigitsoy Nassir Navab Abouzar Eslami MedIm 16 30 0 18 Apr 2019
Deep Learning in Cardiology Paschalis A. Bizopoulos D. Koutsouris MedIm 27 135 0 22 Feb 2019
Application of Deep Learning in Fundus Image Processing for Ophthalmic Diagnosis -- A Review S. Sengupta Amitojdeep Singh Henry A. Leopold T. Gulati Vasudevan Lakshminarayanan MedIm 39 128 0 09 Dec 2018
Rethinking Convolutional Semantic Segmentation Learning Mrinal Haloi BDL 32 4 0 22 Oct 2017
Weakly-supervised localization of diabetic retinopathy lesions in retinal fundus images Waleed M. Gondal Jan M. Köhler René Grzeszick G. Fink M. Hirsch MedIm 31 138 0 29 Jun 2017
Lesion detection and Grading of Diabetic Retinopathy via Two-stages Deep Convolutional Neural Networks Yehui Yang Tao Li Wensi Li Haishan Wu Wei Fan Wensheng Zhang MedIm 31 174 0 02 May 2017
Deep Learning for Medical Image Processing: Overview, Challenges and Future M. I. Razzak S. Naz Ahmad Zaib 21 989 0 22 Apr 2017