When CNN Meet with ViT: Towards Semi-Supervised Learning for Multi-Class Medical Image Semantic Segmentation

12 August 2022

Papers citing "When CNN Meet with ViT: Towards Semi-Supervised Learning for Multi-Class Medical Image Semantic Segmentation"

6 / 6 papers shown

Title
HDC: Hierarchical Distillation for Multi-level Noisy Consistency in Semi-Supervised Fetal Ultrasound Segmentation Tran Quoc Khanh Le Nguyen Lan Vi Vu Ha-Hieu Pham Xuan-Loc Huynh T. Nguyen Minh Huu Nhat Le Quan Nguyen Hien Nguyen 46 0 0 14 Apr 2025
MedLens: Improve Mortality Prediction Via Medical Signs Selecting and Regression Xuesong Ye Jun Wu Chengjie Mou Weina Dai 19 12 0 19 May 2023
Every Annotation Counts: Multi-label Deep Supervision for Medical Image Segmentation Simon Reiß C. Seibold Alexander Freytag E. Rodner Rainer Stiefelhagen 89 61 0 27 Apr 2021
3D Semi-Supervised Learning with Uncertainty-Aware Multi-View Co-Training Yingda Xia Fengze Liu Ke Wang Jinzheng Cai Lequan Yu Zhuotun Zhu Daguang Xu Alan Yuille H. Roth 183 124 0 29 Nov 2018
Densely Connected Convolutional Networks Gao Huang Zhuang Liu L. V. D. van der Maaten Kilian Q. Weinberger PINN 3DV 312 36,371 0 25 Aug 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,138 0 06 Jun 2015