Study Group Learning: Improving Retinal Vessel Segmentation Trained with Noisy Labels

5 March 2021

Papers citing "Study Group Learning: Improving Retinal Vessel Segmentation Trained with Noisy Labels"

5 / 5 papers shown

Title
Conformable Convolution for Topologically Aware Learning of Complex Anatomical Structures Yousef Yeganeh Rui Xiao Goktug Guvercin Nassir Navab Azade Farshad MedIm 40 0 0 31 Dec 2024
A better approach to diagnose retinal diseases: Combining our Segmentation-based Vascular Enhancement with deep learning features Yuzhuo Chen Zetong Chen Yuanyuan Liu 31 0 0 25 May 2024
FS-Net: Full Scale Network and Adaptive Threshold for Improving Extraction of Micro-Retinal Vessel Structures Melaku N. Getahun Oleg Y. Rogov Dmitry V. Dylov Andrey Somov Ahmed Bouridane R. Hamoudi 13 1 0 14 Nov 2023
HQG-Net: Unpaired Medical Image Enhancement with High-Quality Guidance Chunming He Kai Li Guoxia Xu Jiangpeng Yan Longxiang Tang Yulun Zhang Xiu Li Yao Wang MedIm 32 37 0 15 Jul 2023
Attention W-Net: Improved Skip Connections for better Representations Shikhar Mohan Saumik Bhattacharya Sayantari Ghosh SSeg 22 4 0 17 Oct 2021