Foundational models in medical imaging: A comprehensive survey and future vision
B Azad, R Azad, S Eskandari, A Bozorgpour… - ar** generalized segmentation models that can handle multiple
organs and lesions is crucial. However, the scarcity of fully annotated datasets and strict …
organs and lesions is crucial. However, the scarcity of fully annotated datasets and strict …
Automated Coarse-to-Fine Segmentation of Thoracic Duct Using Anatomy Priors and Topology-Guided Curved Planar Reformation
Recent studies have emphasized the importance of protecting thoracic duct during radiation
therapy (RT), as dose distributions in thoracic duct may be associated with the development …
therapy (RT), as dose distributions in thoracic duct may be associated with the development …
Mitigating False Predictions in Unreasonable Body Regions
Despite considerable strides in develo** deep learning models for 3D medical image
segmentation, the challenge of effectively generalizing across diverse image distributions …
segmentation, the challenge of effectively generalizing across diverse image distributions …
Taming Stable Diffusion for MRI Cross-Modality Translation
In this study, we explore using Stable Diffusion (SD) for unsupervised medical image-to-
image translation. SD has shown remarkable performances in generating high-quality …
image translation. SD has shown remarkable performances in generating high-quality …
MTA-Net: A Multi-task Assisted Network for Whole-Body Lymphoma Segmentation
Z Liang, J Wu, S Chai, Y Wang, C Li, C Shen… - … Conference on Artificial …, 2024 - Springer
Lymphoma treatment planning and prognosis assessment require accurate segmentation of
lymphoma lesions. Positron emission tomography (PET)/computed tomography (CT) is …
lymphoma lesions. Positron emission tomography (PET)/computed tomography (CT) is …