Domain Adaptive Relational Reasoning for 3D Multi-Organ Segmentation

no code implementations • 18 May 2020 • Shuhao Fu, Yongyi Lu, Yan Wang, Yuyin Zhou, Wei Shen, Elliot Fishman, Alan Yuille

In this paper, we present a novel unsupervised domain adaptation (UDA) method, named Domain Adaptive Relational Reasoning (DARR), to generalize 3D multi-organ segmentation models to medical data collected from different scanners and/or protocols (domains).

Organ Segmentation Relational Reasoning +3

Hyper-Pairing Network for Multi-Phase Pancreatic Ductal Adenocarcinoma Segmentation

no code implementations • 3 Sep 2019 • Yuyin Zhou, Yingwei Li, Zhishuai Zhang, Yan Wang, Angtian Wang, Elliot Fishman, Alan Yuille, Seyoun Park

Pancreatic ductal adenocarcinoma (PDAC) is one of the most lethal cancers with an overall five-year survival rate of 8%.

FusionNet: Incorporating Shape and Texture for Abnormality Detection in 3D Abdominal CT Scans

no code implementations • 21 Aug 2019 • Fengze Liu, Yuyin Zhou, Elliot Fishman, Alan Yuille

Second, a FusionNet is proposed to take both the binary mask and CT image as input and perform a binary classification.

3D Classification Anomaly Detection +4

Prior-aware Neural Network for Partially-Supervised Multi-Organ Segmentation

no code implementations • ICCV 2019 • Yuyin Zhou, Zhe Li, Song Bai, Chong Wang, Xinlei Chen, Mei Han, Elliot Fishman, Alan Yuille

Accurate multi-organ abdominal CT segmentation is essential to many clinical applications such as computer-aided intervention.

Medical Image Segmentation Organ Segmentation +2