A multi-scale pyramid of 3D fully convolutional networks for abdominal multi-organ segmentation

6 June 2018

Papers citing "A multi-scale pyramid of 3D fully convolutional networks for abdominal multi-organ segmentation"

6 / 6 papers shown

Title
Multi-organ segmentation: a progressive exploration of learning paradigms under scarce annotation Shiman Li Haoran Wang Yucong Meng Chenxi Zhang Zhijian Song 27 6 0 07 Feb 2023
Memory-efficient Segmentation of High-resolution Volumetric MicroCT Images Yuan Wang Laura Blackie I. Miguel-Aliaga Wenjia Bai 3DV 18 3 0 31 May 2022
Characterizing Renal Structures with 3D Block Aggregate Transformers Xin Yu Yucheng Tang Yinchi Zhou Riqiang Gao Qi Yang ... Yuankai Huo Zhoubing Xu Thomas A. Lasko R. Abramson Bennett A. Landman MedIm ViT 16 3 0 04 Mar 2022
Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis Yucheng Tang Dong Yang Wenqi Li H. Roth Bennett Landman Daguang Xu V. Nath Ali Hatamizadeh ViT MedIm 22 517 0 29 Nov 2021
AbdomenCT-1K: Is Abdominal Organ Segmentation A Solved Problem? Jun Ma Yao Zhang Song Gu Cheng Zhu Cheng Ge ... Shangqing Liu Yunpeng Wang Yuhui Li Jian He Xiaoping Yang SSeg OOD 26 324 0 28 Oct 2020
Semi-Supervised Multi-Organ Segmentation via Deep Multi-Planar Co-Training Yuyin Zhou Yan Wang Peng Tang S. Bai Wei Shen Elliot K. Fishman Alan Yuille 19 129 0 07 Apr 2018