Disentangling Human Error from the Ground Truth in Segmentation of
Medical Images

Disentangling Human Error from the Ground Truth in Segmentation of Medical Images

31 July 2020

Daniel C. Alexander

Papers citing "Disentangling Human Error from the Ground Truth in Segmentation of Medical Images"

13 / 13 papers shown

Title
Dynamic Loss Decay based Robust Oriented Object Detection on Remote Sensing Images with Noisy Labels Guozhang Liu Ting Liu Mengke Yuan Tao Pang Guangxing Yang Hao Fu Tao Wang Tongkui Liao NoLa 34 1 0 15 May 2024
SILT: Shadow-aware Iterative Label Tuning for Learning to Detect Shadows from Noisy Labels Han Yang Tianyu Wang Xiao Hu Chi-Wing Fu NoLa 54 14 0 23 Aug 2023
Learning to Segment from Noisy Annotations: A Spatial Correction Approach Jiacheng Yao Yikai Zhang Songzhu Zheng Mayank Goswami Prateek Prasanna Chao Chen 41 15 0 21 Jul 2023
S3M: Scalable Statistical Shape Modeling through Unsupervised Correspondences Lennart Bastian Alexander Bauman Emily Hoppe Vincent Burgin Ha Young Kim Mahdi Saleh Benjamin Busam Nassir Navab 30 8 0 15 Apr 2023
Multi-annotator Deep Learning: A Probabilistic Framework for Classification M. Herde Denis Huseljic Bernhard Sick 38 9 0 05 Apr 2023
TAX: Tendency-and-Assignment Explainer for Semantic Segmentation with Multi-Annotators Yuan Cheng Zu-Yun Shiau Fu-En Yang Yu-Chiang Frank Wang 39 2 0 19 Feb 2023
Learning Confident Classifiers in the Presence of Label Noise Asma Ahmed Hashmi Aigerim Zhumabayeva Nikita Kotelevskii A. Agafonov Mohammad Yaqub Maxim Panov Martin Takávc NoLa 67 2 0 02 Jan 2023
Rethinking Generalization: The Impact of Annotation Style on Medical Image Segmentation Brennan Nichyporuk Jillian Cardinell Justin Szeto Raghav Mehta Jean-Pierre Falet Douglas L. Arnold Sotirios A. Tsaftaris Tal Arbel 24 7 0 31 Oct 2022
Placenta Segmentation in Ultrasound Imaging: Addressing Sources of Uncertainty and Limited Field-of-View V. Zimmer A. Gómez E. Skelton Robert Wright G. Wheeler ... Jacqueline Matthew Bernhard Kainz Daniel Rueckert Joseph V. Hajnal Julia A. Schnabel 35 22 0 29 Jun 2022
Breaking the Dilemma of Medical Image-to-image Translation Lingke Kong Chenyu Lian Detian Huang Zhenjiang Li Yanle Hu Qichao Zhou GAN MedIm 61 138 0 13 Oct 2021
Adaptive Early-Learning Correction for Segmentation from Noisy Annotations Sheng Liu Kangning Liu Weicheng Zhu Yiqiu Shen C. Fernandez‐Granda NoLa 29 104 0 07 Oct 2021
Impact of individual rater style on deep learning uncertainty in medical imaging segmentation Olivier Vincent C. Gros Julien Cohen-Adad 37 10 0 05 May 2021
The Liver Tumor Segmentation Benchmark (LiTS) Patrick Bilic P. Christ Hongwei Bran Li Eugene Vorontsov Avi Ben-Cohen ... L. Soler Bram van Ginneken H. Greenspan Leo Joskowicz Bjoern H. Menze 33 990 0 13 Jan 2019