Bridging 2D and 3D Segmentation Networks for Computation Efficient Volumetric Medical Image Segmentation: An Empirical Study of 2.5D Solutions

13 October 2020

Papers citing "Bridging 2D and 3D Segmentation Networks for Computation Efficient Volumetric Medical Image Segmentation: An Empirical Study of 2.5D Solutions"

7 / 7 papers shown

Title
Text2CT: Towards 3D CT Volume Generation from Free-text Descriptions Using Diffusion Model Pengfei Guo Can Zhao Dong Yang Yufan He V. Nath ... Zongwei Zhou Benjamin D. Simon Stephanie Harmon B. Turkbey Daguang Xu DiffM MedIm 40 0 0 07 May 2025
Triage of 3D pathology data via 2.5D multiple-instance learning to guide pathologist assessments Gan Gao Andrew H. Song Fiona Wang David Brenes Rui Wang Sarah S. L. Chow K. Bishop Lawrence D. True Faisal Mahmood Jonathan T. C. Liu 34 0 0 11 Jun 2024
Towards Segment Anything Model (SAM) for Medical Image Segmentation: A Survey Yichi Zhang Rushi Jiao MedIm VLM 32 26 0 05 May 2023
Learning with Limited Annotations: A Survey on Deep Semi-Supervised Learning for Medical Image Segmentation Rushi Jiao Yichi Zhang Leiting Ding Rong Cai Jicong Zhang 29 152 0 28 Jul 2022
Uncertainty-Guided Mutual Consistency Learning for Semi-Supervised Medical Image Segmentation Yichi Zhang Rushi Jiao Qingcheng Liao Dongyang Li Jicong Zhang 35 56 0 05 Dec 2021
A Novel Hybrid Convolutional Neural Network for Accurate Organ Segmentation in 3D Head and Neck CT Images Zijie Chen Cheng Li Junjun He Jin Ye Diping Song Shanshan Wang Lixu Gu Yu Qiao 35 9 0 26 Sep 2021
Deep Learning methods for automatic evaluation of delayed enhancement-MRI. The results of the EMIDEC challenge A. Lalande Zhihao Chen T. Pommier Thomas Decourselle Abdul Qayyum ... Yichi Zhang Lihao Liu Xiahai Zhuang R. Couturier F. Mériaudeau 40 42 0 09 Aug 2021