Reference-guided Pseudo-Label Generation for Medical Semantic Segmentation

1 December 2021

Papers citing "Reference-guided Pseudo-Label Generation for Medical Semantic Segmentation"

9 / 9 papers shown

Title
GIGP: A Global Information Interacting and Geometric Priors Focusing Framework for Semi-supervised Medical Image Segmentation Lianyuan Yu Xiuzhen Guo Ji Shi Hongxiao Wang Hongwei Li 56 0 0 12 Mar 2025
CAST: Cluster-Aware Self-Training for Tabular Data Minwook Kim Juseong Kim Kibeom Kim Giltae Song 33 0 0 10 Oct 2023
Accurate Fine-Grained Segmentation of Human Anatomy in Radiographs via Volumetric Pseudo-Labeling C. Seibold A. Jaus M. Fink Moon S. Kim Simon Reiß Ken Herrmann Jens Kleesiek Rainer Stiefelhagen 25 9 0 06 Jun 2023
Directional Connectivity-based Segmentation of Medical Images Ziyun Yang Sina Farsiu 30 36 0 31 Mar 2023
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 26 151 0 28 Jul 2022
COVID Detection and Severity Prediction with 3D-ConvNeXt and Custom Pretrainings Daniel Kienzle Julian Lorenz Robin Schon K. Ludwig Rainer Lienhart 3DPC 22 14 0 30 Jun 2022
Every Annotation Counts: Multi-label Deep Supervision for Medical Image Segmentation Simon Reiß C. Seibold Alexander Freytag E. Rodner Rainer Stiefelhagen 87 61 0 27 Apr 2021
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning Mamshad Nayeem Rizve Kevin Duarte Y. S. Rawat M. Shah 220 508 0 15 Jan 2021
Meta Pseudo Labels Hieu H. Pham Zihang Dai Qizhe Xie Minh-Thang Luong Quoc V. Le VLM 253 656 0 23 Mar 2020