BC-MRI-SEG: A Breast Cancer MRI Tumor Segmentation Benchmark

21 April 2024

Papers citing "BC-MRI-SEG: A Breast Cancer MRI Tumor Segmentation Benchmark"

14 / 14 papers shown

Title
Medical SAM Adapter: Adapting Segment Anything Model for Medical Image Segmentation Junde Wu Rao Fu Yuanpei Liu Huihui Fang Zhao-Yang Wang Yanwu Xu Yueming Jin VLM MedIm 113 479 0 25 Apr 2023
Segment Anything A. Kirillov Eric Mintun Nikhila Ravi Hanzi Mao Chloe Rolland ... Spencer Whitehead Alexander C. Berg Wan-Yen Lo Piotr Dollár Ross B. Girshick MLLM VLM 248 7,047 0 05 Apr 2023
Large AI Models in Health Informatics: Applications, Challenges, and the Future Jianing Qiu Lin Li Jiankai Sun Jiachuan Peng Peilun Shi ... Bo Xiao Wu Yuan Ningli Wang Dong Xu Benny Lo AI4MH LM&MA 55 131 0 21 Mar 2023
Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI Images Ali Hatamizadeh V. Nath Yucheng Tang Dong Yang H. Roth Daguang Xu ViT MedIm 90 1,093 0 04 Jan 2022
The Medical Segmentation Decathlon Michela Antonelli Annika Reinke Spyridon Bakas Keyvan Farahani AnnetteKopp-Schneider ... Zhanwei Xu Yefeng Zheng Amber L. Simpson Lena Maier-Hein M. Jorge Cardoso OOD 84 974 0 10 Jun 2021
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows Ze Liu Yutong Lin Yue Cao Han Hu Yixuan Wei Zheng Zhang Stephen Lin B. Guo ViT 319 21,175 0 25 Mar 2021
A Review of Generalized Zero-Shot Learning Methods Farhad Pourpanah Moloud Abdar Yuxuan Luo Xinlei Zhou Ran Wang C. P. Lim Xizhao Wang Q. M. Jonathan Wu VLM 36 348 0 17 Nov 2020
Medical Image Segmentation Using Deep Learning: A Survey Risheng Wang Tao Lei Xiaogang Du Yong Wan Hongying Meng Asoke K. Nandi SSeg OOD 61 556 0 28 Sep 2020
3D Self-Supervised Methods for Medical Imaging Aiham Taleb W. Loetzsch Noel Danz Julius Severin Thomas Gaertner Benjamin Bergner C. Lippert SSL 67 214 0 06 Jun 2020
Optimizing the Dice Score and Jaccard Index for Medical Image Segmentation: Theory & Practice J. Bertels Tom Eelbode Maxim Berman Dirk Vandermeulen F. Maes R. Bisschops Matthew Blaschko 106 255 0 05 Nov 2019
Understanding the Impact of Label Granularity on CNN-based Image Classification Zhuo Chen Ruizhou Ding Ting-Wu Chin Diana Marculescu 38 35 0 21 Jan 2019
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge Spyridon Bakas M. Reyes Andras Jakab Stefan Bauer Markus Rempfler ... Jayashree Kalpathy-Cramer Keyvan Farahani Christos Davatzikos Koen van Leemput Bjoern Menze 109 1,623 0 05 Nov 2018
3D MRI brain tumor segmentation using autoencoder regularization Andriy Myronenko 69 1,037 0 27 Oct 2018
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.2K 76,547 0 18 May 2015