14 citations · 62 across the 14 of their papers we have counts for
5 papers · 1 filter
Multi-organ Segmentation Network with Adversarial Performance Validator
Haoyu Fang, Yi Fang, Xiaofeng Yang
CT organ segmentation on computed tomography (CT) images becomes a significant brick for modern medical image analysis, supporting clinic workflows in multiple domains. Previous se…
Artificial Intelligence in Tumor Subregion Analysis Based on Medical Imaging: A Review
Mingquan Lin, Jacob Wynne, Yang Lei +4
Medical imaging is widely used in cancer diagnosis and treatment, and artificial intelligence (AI) has achieved tremendous success in various tasks of medical image analysis. This…
Deep Learning in Multi-organ Segmentation
Yang Lei, Yabo Fu, Tonghe Wang +4
This paper presents a review of deep learning (DL) in multi-organ segmentation. We summarized the latest DL-based methods for medical image segmentation and applications. These met…
Machine Learning in Quantitative PET Imaging
Tonghe Wang, Yang Lei, Yabo Fu +3
This paper reviewed the machine learning-based studies for quantitative positron emission tomography (PET). Specifically, we summarized the recent developments of machine learning-…
Deep Learning in Medical Image Registration: A Review
Yabo Fu, Yang Lei, Tonghe Wang +3
This paper presents a review of deep learning (DL) based medical image registration methods. We summarized the latest developments and applications of DL-based registration methods…