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Deep supervision with additional labels for retinal vessel segmentation
  task

Deep supervision with additional labels for retinal vessel segmentation task

6 June 2018
Yishuo Zhang
Albert C. S. Chung
ArXivPDFHTML

Papers citing "Deep supervision with additional labels for retinal vessel segmentation task"

17 / 17 papers shown
Title
A Novel Hybrid Approach for Retinal Vessel Segmentation with Dynamic Long-Range Dependency and Multi-Scale Retinal Edge Fusion Enhancement
A Novel Hybrid Approach for Retinal Vessel Segmentation with Dynamic Long-Range Dependency and Multi-Scale Retinal Edge Fusion Enhancement
Yihao Ouyang
Xunheng Kuang
Mengjia Xiong
Zhida Wang
Yuanquan Wang
48
0
0
18 Apr 2025
Progressive DeepSSM: Training Methodology for Image-To-Shape Deep Models
Progressive DeepSSM: Training Methodology for Image-To-Shape Deep Models
Abu Zahid Bin Aziz
Jadie Adams
Shireen Y. Elhabian
32
2
0
02 Oct 2023
Semantic Image Segmentation: Two Decades of Research
Semantic Image Segmentation: Two Decades of Research
G. Csurka
Riccardo Volpi
Boris Chidlovskii
3DV
37
50
0
13 Feb 2023
Parallel Multi-Scale Networks with Deep Supervision for Hand Keypoint
  Detection
Parallel Multi-Scale Networks with Deep Supervision for Hand Keypoint Detection
Renjie Li
Son N. Tran
Saurabh Garg
K. Lawler
Jane Elizabeth Alty
Quan-wei Bai
21
2
0
19 Dec 2021
An Analysis of the Influence of Transfer Learning When Measuring the
  Tortuosity of Blood Vessels
An Analysis of the Influence of Transfer Learning When Measuring the Tortuosity of Blood Vessels
Matheus V. da Silva
Julie Ouellette
Baptiste Lacoste
C. H. Comin
29
7
0
19 Nov 2021
A new baseline for retinal vessel segmentation: Numerical identification
  and correction of methodological inconsistencies affecting 100+ papers
A new baseline for retinal vessel segmentation: Numerical identification and correction of methodological inconsistencies affecting 100+ papers
György Kovács
A. Fazekas
24
13
0
06 Nov 2021
Semi-Supervised Segmentation of Radiation-Induced Pulmonary Fibrosis
  from Lung CT Scans with Multi-Scale Guided Dense Attention
Semi-Supervised Segmentation of Radiation-Induced Pulmonary Fibrosis from Lung CT Scans with Multi-Scale Guided Dense Attention
Guotai Wang
Shuwei Zhai
G. Lasio
Baoshe Zhang
B. Yi
Shifeng Chen
T. MacVittie
Dimitris N. Metaxas
Jinghao Zhou
Shaoting Zhang
MedIm
55
66
0
29 Sep 2021
Every Annotation Counts: Multi-label Deep Supervision for Medical Image
  Segmentation
Every Annotation Counts: Multi-label Deep Supervision for Medical Image Segmentation
Simon Reiß
C. Seibold
Alexander Freytag
E. Rodner
Rainer Stiefelhagen
91
61
0
27 Apr 2021
Objective-Dependent Uncertainty Driven Retinal Vessel Segmentation
Objective-Dependent Uncertainty Driven Retinal Vessel Segmentation
Suraj Mishra
Danny Chen
Sharon Hu
32
6
0
17 Apr 2021
Learning-Based Algorithms for Vessel Tracking: A Review
Learning-Based Algorithms for Vessel Tracking: A Review
Dengqiang Jia
Xiahai Zhuang
41
49
0
16 Dec 2020
Rethinking the Extraction and Interaction of Multi-Scale Features for
  Vessel Segmentation
Rethinking the Extraction and Interaction of Multi-Scale Features for Vessel Segmentation
Yicheng Wu
Changzai Pan
Shuqi Wang
Ming Zhang
Yong-quan Xia
Yizhou Yu
17
2
0
09 Oct 2020
Automated eye disease classification method from anterior eye image
  using anatomical structure focused image classification technique
Automated eye disease classification method from anterior eye image using anatomical structure focused image classification technique
M. Oda
Takefumi Yamaguchi
H. Fukuoka
Yuta Ueno
K. Mori
11
7
0
04 May 2020
Channel Attention Residual U-Net for Retinal Vessel Segmentation
Channel Attention Residual U-Net for Retinal Vessel Segmentation
Changlu Guo
Marton Szemenyei
Yangtao Hu
Wenle Wang
Wei Zhou
Yugen Yi
24
45
0
07 Apr 2020
Attention Guided Network for Retinal Image Segmentation
Attention Guided Network for Retinal Image Segmentation
Shihao Zhang
Huazhu Fu
Yuguang Yan
Yubing Zhang
Qingyao Wu
Ming-Hsuan Yang
Mingkui Tan
Yanwu Xu
SSeg
33
181
0
25 Jul 2019
Going Deep in Medical Image Analysis: Concepts, Methods, Challenges and
  Future Directions
Going Deep in Medical Image Analysis: Concepts, Methods, Challenges and Future Directions
F. Altaf
Syed Mohammed Shamsul Islam
Naveed Akhtar
N. Janjua
OOD
31
200
0
15 Feb 2019
Residual Pyramid FCN for Robust Follicle Segmentation
Residual Pyramid FCN for Robust Follicle Segmentation
Zhewei Wang
W. Cai
Charles D. Smith
Noriko Kantake
T. Rosol
Jundong Liu
14
6
0
11 Jan 2019
Application of Deep Learning in Fundus Image Processing for Ophthalmic
  Diagnosis -- A Review
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
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