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Cascaded Robust Learning at Imperfect Labels for Chest X-ray
  Segmentation

Cascaded Robust Learning at Imperfect Labels for Chest X-ray Segmentation

5 April 2021
Cheng Xue
Q. Deng
Xuelong Li
Qi Dou
Pheng Ann Heng
ArXiv (abs)PDFHTML

Papers citing "Cascaded Robust Learning at Imperfect Labels for Chest X-ray Segmentation"

11 / 11 papers shown
Title
Segmentation with Noisy Labels via Spatially Correlated Distributions
Segmentation with Noisy Labels via Spatially Correlated Distributions
Ryu Tadokoro
Tsukasa Takagi
Shin-ichi Maeda
59
0
0
21 Apr 2025
Deep learning-based instance segmentation for the precise automated
  quantification of digital breast cancer immunohistochemistry images
Deep learning-based instance segmentation for the precise automated quantification of digital breast cancer immunohistochemistry images
Blanca Maria Priego Torres
Bárbara Lobato-Delgado
L. Atienza-Cuevas
D. S. Morillo
45
20
0
22 Nov 2023
Rectifying Noisy Labels with Sequential Prior: Multi-Scale Temporal
  Feature Affinity Learning for Robust Video Segmentation
Rectifying Noisy Labels with Sequential Prior: Multi-Scale Temporal Feature Affinity Learning for Robust Video Segmentation
Beilei Cui
Minqing Zhang
Mengya Xu
An-Chi Wang
Wu Yuan
Hongliang Ren
NoLa
78
3
0
12 Jul 2023
Robust Point Cloud Segmentation with Noisy Annotations
Robust Point Cloud Segmentation with Noisy Annotations
Shuquan Ye
Dongdong Chen
Songfang Han
Jing Liao
3DPC
46
11
0
06 Dec 2022
PA-Seg: Learning from Point Annotations for 3D Medical Image
  Segmentation using Contextual Regularization and Cross Knowledge Distillation
PA-Seg: Learning from Point Annotations for 3D Medical Image Segmentation using Contextual Regularization and Cross Knowledge Distillation
Shuwei Zhai
Guotai Wang
Xiangde Luo
Qian Yue
Kang Li
Shaoting Zhang
3DPC
69
26
0
11 Aug 2022
Robust Medical Image Classification from Noisy Labeled Data with Global
  and Local Representation Guided Co-training
Robust Medical Image Classification from Noisy Labeled Data with Global and Local Representation Guided Co-training
Cheng Xue
Lequan Yu
Pengfei Chen
Qi Dou
Pheng-Ann Heng
NoLa
66
52
0
10 May 2022
Superpixel-guided Iterative Learning from Noisy Labels for Medical Image
  Segmentation
Superpixel-guided Iterative Learning from Noisy Labels for Medical Image Segmentation
Shuailin Li
Zhitong Gao
Xuming He
NoLa
69
27
0
21 Jul 2021
Weighing Features of Lung and Heart Regions for Thoracic Disease
  Classification
Weighing Features of Lung and Heart Regions for Thoracic Disease Classification
Jiansheng Fang
Yanwu Xu
Yitian Zhao
Yuguang Yan
Junling Liu
Jiang-Dong Liu
54
9
0
26 May 2021
Deep Learning for Chest X-ray Analysis: A Survey
Deep Learning for Chest X-ray Analysis: A Survey
Ecem Sogancioglu
E. Çallı
Bram van Ginneken
K. G. V. Leeuwen
K. Murphy
LM&MA
117
328
0
15 Mar 2021
Study Group Learning: Improving Retinal Vessel Segmentation Trained with
  Noisy Labels
Study Group Learning: Improving Retinal Vessel Segmentation Trained with Noisy Labels
Yuqian Zhou
Hanchao Yu
Humphrey Shi
65
57
0
05 Mar 2021
Medical Image Segmentation with Limited Supervision: A Review of Deep
  Network Models
Medical Image Segmentation with Limited Supervision: A Review of Deep Network Models
Jialin Peng
Ye Wang
VLM
90
60
0
28 Feb 2021
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