Primitive Geometry Segment Pre-training for 3D Medical Image
Segmentation

Primitive Geometry Segment Pre-training for 3D Medical Image Segmentation

8 January 2024

Ryu Tadokoro

Kodai Nakashima

Hirokatsu Kataoka

Papers citing "Primitive Geometry Segment Pre-training for 3D Medical Image Segmentation"

5 / 5 papers shown

Title
Scaling Backwards: Minimal Synthetic Pre-training? Ryo Nakamura Ryu Tadokoro Ryosuke Yamada Tim Puhlfürß Iro Laina Christian Rupprecht Walid Maalej Rio Yokota Hirokatsu Kataoka DD 16 2 0 01 Aug 2024
UniMiSS: Universal Medical Self-Supervised Learning via Breaking Dimensionality Barrier Yutong Xie Jianpeng Zhang Yong-quan Xia Qi Wu MedIm 66 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 61 85 0 09 Sep 2021
Pre-training without Natural Images Hirokatsu Kataoka Kazushige Okayasu Asato Matsumoto Eisuke Yamagata Ryosuke Yamada Nakamasa Inoue Akio Nakamura Y. Satoh 79 116 0 21 Jan 2021
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 267 3,369 0 09 Mar 2020