Benefit from public unlabeled data: A Frangi filtering-based pretraining network for 3D cerebrovascular segmentation

23 December 2023

Papers citing "Benefit from public unlabeled data: A Frangi filtering-based pretraining network for 3D cerebrovascular segmentation"

3 / 3 papers shown

Title
UniMiSS: Universal Medical Self-Supervised Learning via Breaking Dimensionality Barrier Yutong Xie Jianpeng Zhang Yong-quan Xia Qi Wu MedIm 71 63 0 17 Dec 2021
Preservational Learning Improves Self-supervised Medical Image Models by Reconstructing Diverse Contexts Hong-Yu Zhou Chi-Ken Lu Sibei Yang Xiaoguang Han Yizhou Yu SSL CLL 63 85 0 09 Sep 2021
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 309 75,834 0 18 May 2015