Bridging the Gap Between 2D and 3D Organ Segmentation with Volumetric Fusion Net

2 April 2018

Papers citing "Bridging the Gap Between 2D and 3D Organ Segmentation with Volumetric Fusion Net"

6 / 6 papers shown

Title
Embracing Imperfect Datasets: A Review of Deep Learning Solutions for Medical Image Segmentation Nima Tajbakhsh Laura Jeyaseelan Q. Li J. Chiang Zhihao Wu Xiaowei Ding 16 751 0 27 Aug 2019
FusionNet: Incorporating Shape and Texture for Abnormality Detection in 3D Abdominal CT Scans Fengze Liu Yuyin Zhou Elliot K. Fishman Alan Yuille MedIm 21 0 0 21 Aug 2019
V-NAS: Neural Architecture Search for Volumetric Medical Image Segmentation Zhuotun Zhu Chenxi Liu Dong Yang Alan Yuille Daguang Xu 26 104 0 06 Jun 2019
Fully Automated Pancreas Segmentation with Two-stage 3D Convolutional Neural Networks Ningning Zhao Nuo Tong Dan Ruan K. Sheng SSeg MedIm 23 52 0 05 Jun 2019
A New Ensemble Learning Framework for 3D Biomedical Image Segmentation Hao Zheng Yizhe Zhang Lin Yang Peixian Liang Zhuo Zhao Chaoli Wang D. Z. Chen 3DV 31 75 0 10 Dec 2018
Multi-Scale Coarse-to-Fine Segmentation for Screening Pancreatic Ductal Adenocarcinoma Zhuotun Zhu Yingda Xia Lingxi Xie Elliot K. Fishman Alan Yuille MedIm 13 93 0 09 Jul 2018