From Few to More: Scribble-based Medical Image Segmentation via Masked
Context Modeling and Continuous Pseudo Labels

From Few to More: Scribble-based Medical Image Segmentation via Masked Context Modeling and Continuous Pseudo Labels

23 August 2024

Yiwen Ye

Ziyang Chen

Yong Xia

Papers citing "From Few to More: Scribble-based Medical Image Segmentation via Masked Context Modeling and Continuous Pseudo Labels"

6 / 6 papers shown

Title
Embarrassingly Simple Scribble Supervision for 3D Medical Segmentation Karol Gotkowski Carsten T. Lüth Paul F. Jäger Sebastian Ziegler Lars Krämer Stefan Denner Shuhan Xiao Nico Disch Klaus H. Maier-Hein Fabian Isensee 54 3 0 19 Mar 2024
Multi-Layer Pseudo-Supervision for Histopathology Tissue Semantic Segmentation using Patch-level Classification Labels Chu Han Jiatai Lin Jinhai Mai Yi Wang Qingling Zhang ... Zeyan Xu Xiaomei Huang Guoqiang Han Chang-xiu Liang Zaiyi Liu 55 94 0 14 Oct 2021
Going to Extremes: Weakly Supervised Medical Image Segmentation H. Roth Ke Wang Ziyue Xu Xiaosong Wang Daguang Xu 23 61 0 25 Sep 2020
Scribble2Label: Scribble-Supervised Cell Segmentation via Self-Generating Pseudo-Labels with Consistency Hyeonsoo Lee Won-Ki Jeong 38 113 0 23 Jun 2020
An Exploration of 2D and 3D Deep Learning Techniques for Cardiac MR Image Segmentation Christian F. Baumgartner Lisa M. Koch Marc Pollefeys E. Konukoglu 40 246 0 13 Sep 2017
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 939 76,547 0 18 May 2015