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Learning to Segment from Noisy Annotations: A Spatial Correction
  Approach

Learning to Segment from Noisy Annotations: A Spatial Correction Approach

21 July 2023
Jiacheng Yao
Yikai Zhang
Songzhu Zheng
Mayank Goswami
Prateek Prasanna
Chao Chen
ArXivPDFHTML

Papers citing "Learning to Segment from Noisy Annotations: A Spatial Correction Approach"

10 / 10 papers shown
Title
Monitoring morphometric drift in lifelong learning segmentation of the spinal cord
Monitoring morphometric drift in lifelong learning segmentation of the spinal cord
E. Karthik
Sandrine Bédard
J. Valošek
Christoph S. Aigner
E. Bannier
...
Zachary Vavasour
Dimitri Van De Ville
Kenneth A. Weber II
Sarath Chandar
Julien Cohen-Adad
15
0
0
02 May 2025
Segmentation with Noisy Labels via Spatially Correlated Distributions
Segmentation with Noisy Labels via Spatially Correlated Distributions
Ryu Tadokoro
Tsukasa Takagi
Shin-ichi Maeda
21
0
0
21 Apr 2025
BadCLM: Backdoor Attack in Clinical Language Models for Electronic
  Health Records
BadCLM: Backdoor Attack in Clinical Language Models for Electronic Health Records
Weimin Lyu
Zexin Bi
Fusheng Wang
Chao Chen
35
5
0
06 Jul 2024
How Much Data are Enough? Investigating Dataset Requirements for
  Patch-Based Brain MRI Segmentation Tasks
How Much Data are Enough? Investigating Dataset Requirements for Patch-Based Brain MRI Segmentation Tasks
Dongang Wang
Peilin Liu
Hengrui Wang
H. Beadnall
K. Kyle
...
Tom Weidong Cai
Wanli Ouyang
Fernando Calamante
Michael Barnett
Chenyu Wang
16
2
0
04 Apr 2024
FedA3I: Annotation Quality-Aware Aggregation for Federated Medical Image
  Segmentation against Heterogeneous Annotation Noise
FedA3I: Annotation Quality-Aware Aggregation for Federated Medical Image Segmentation against Heterogeneous Annotation Noise
Nannan Wu
Zhaobin Sun
Zengqiang Yan
Li Yu
FedML
20
11
0
20 Dec 2023
Clean Label Disentangling for Medical Image Segmentation with Noisy
  Labels
Clean Label Disentangling for Medical Image Segmentation with Noisy Labels
Zicheng Wang
Zhen Zhao
Erjian Guo
Luping Zhou
14
1
0
28 Nov 2023
Improving Multiple Sclerosis Lesion Segmentation Across Clinical Sites:
  A Federated Learning Approach with Noise-Resilient Training
Improving Multiple Sclerosis Lesion Segmentation Across Clinical Sites: A Federated Learning Approach with Noise-Resilient Training
Lei Bai
Dongang Wang
Michael Barnett
Mariano Cabezas
Weidong (Tom) Cai
...
Ryan Sullivan
Hengrui Wang
Geng Zhan
Wanli Ouyang
Chenyu Wang
11
7
0
31 Aug 2023
Transferring Annotator- and Instance-dependent Transition Matrix for
  Learning from Crowds
Transferring Annotator- and Instance-dependent Transition Matrix for Learning from Crowds
Shikun Li
Xiaobo Xia
Jiankang Deng
Shiming Ge
Tongliang Liu
11
15
0
05 Jun 2023
Adaptive Superpixel for Active Learning in Semantic Segmentation
Adaptive Superpixel for Active Learning in Semantic Segmentation
Ho-Joong Kim
Minhyeon Oh
S. Hwang
Suha Kwak
Jungseul Ok
21
12
0
29 Mar 2023
Curriculum Loss: Robust Learning and Generalization against Label
  Corruption
Curriculum Loss: Robust Learning and Generalization against Label Corruption
Yueming Lyu
Ivor W. Tsang
NoLa
47
170
0
24 May 2019
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