Self and Mixed Supervision to Improve Training Labels for Multi-Class Medical Image Segmentation

6 March 2024

Papers citing "Self and Mixed Supervision to Improve Training Labels for Multi-Class Medical Image Segmentation"

6 / 6 papers shown

Title
TotalSegmentator: robust segmentation of 104 anatomical structures in CT images Jakob Wasserthal H. Breit Manfred T. Meyer M. Pradella Daniel Hinck ... Daniel Boll Joshy Cyriac Shan Yang M. Bach Martin Segeroth OOD 46 708 0 11 Aug 2022
Learning with Limited Annotations: A Survey on Deep Semi-Supervised Learning for Medical Image Segmentation Rushi Jiao Yichi Zhang Leiting Ding Rong Cai Jicong Zhang 34 154 0 28 Jul 2022
BoostMIS: Boosting Medical Image Semi-supervised Learning with Adaptive Pseudo Labeling and Informative Active Annotation Wenqiao Zhang Lei Zhu James Hallinan A. Makmur Shengyu Zhang Qingpeng Cai Beng Chin Ooi 67 82 0 04 Mar 2022
Semi-Supervised Semantic Segmentation with Cross-Consistency Training Yassine Ouali C´eline Hudelot Myriam Tami 98 720 0 19 Mar 2020
Generalised Dice overlap as a deep learning loss function for highly unbalanced segmentations Carole H Sudre Wenqi Li Tom Vercauteren Sébastien Ourselin M. Jorge Cardoso SSeg 90 2,132 0 11 Jul 2017
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 553 10,726 0 19 Feb 2017