2023
TriAxial Low-Rank Transformer for Efficient Medical Image Segmentation
A tri-axially factorized low-rank transformer that reduces computational cost while maintaining high segmentation accuracy. (Corresponding author: Xi Fang)
Tags
Segmentation
2023
Shape description losses for medical image segmentation
2021
Shape description losses for medical image segmentation
Shape-aware objectives that inject global geometric and statistical structure into medical image segmentation training.
2020
Division and fusion: rethink convolutional kernels for 3D medical image segmentation
2020
A method of rapid quantification of patient‐specific organ doses for CT using deep-learning‐based multi-organ segmentation and GPU‐accelerated Monte Carlo dose computing
2020
Multi-organ segmentation over partially labeled datasets with multi-scale feature abstraction
A multi-scale deep learning method for robust multi-organ segmentation when training data is only partially labeled.
2020
Unified multi-scale feature abstraction for medical image segmentation
2019
Multiorgan Segmentation of CT Images Using Deep-Learning for Instant and Patient-Specific Dose Reporting
Deep learning–based multi-organ segmentation enabling rapid, patient-specific Monte-Carlo dose estimation.