PyMIC: A deep learning toolkit for annotation-efficient medical image
segmentation

PyMIC: A deep learning toolkit for annotation-efficient medical image segmentation

19 August 2022

Guotai Wang

Papers citing "PyMIC: A deep learning toolkit for annotation-efficient medical image segmentation"

5 / 5 papers shown

Title
Enhancing the vision-language foundation model with key semantic knowledge-emphasized report refinement Cheng Li Weijian Huang Hao Yang Jiarun Liu Shanshan Wang MedIm 17 3 0 21 Jan 2024
Semi-Supervised Segmentation of Radiation-Induced Pulmonary Fibrosis from Lung CT Scans with Multi-Scale Guided Dense Attention Guotai Wang Shuwei Zhai G. Lasio Baoshe Zhang B. Yi Shifeng Chen T. MacVittie Dimitris N. Metaxas Jinghao Zhou Shaoting Zhang MedIm 42 66 0 29 Sep 2021
TorchIO: A Python library for efficient loading, preprocessing, augmentation and patch-based sampling of medical images in deep learning Fernando Pérez-García Rachel Sparks Sébastien Ourselin MedIm LM&MA 135 426 0 09 Mar 2020
Deep High-Resolution Representation Learning for Visual Recognition Jingdong Wang Ke Sun Tianheng Cheng Borui Jiang Chaorui Deng ... Yadong Mu Mingkui Tan Xinggang Wang Wenyu Liu Bin Xiao 190 3,480 0 20 Aug 2019
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results Antti Tarvainen Harri Valpola OOD MoMe 244 1,279 0 06 Mar 2017