Domain Generalization (DG) is a fundamental challenge for machine learni...
Lymph node (LN) metastasis status is one of the most critical prognostic...
Unsupervised image semantic segmentation(UISS) aims to match low-level v...
Objectives: to propose a fully-automatic computer-aided diagnosis (CAD)
...
Background: The current clinical workflow for esophageal gross tumor vol...
In this work, we introduce a fast and accurate method for unsupervised 3...
Lymph node station (LNS) delineation from computed tomography (CT) scans...
Measuring lesion size is an important step to assess tumor growth and mo...
Accurately segmenting a variety of clinically significant lesions from w...
Landmark localization plays an important role in medical image analysis....
Bone mineral density (BMD) is a clinically critical indicator of
osteopo...
Lesion detection serves a critical role in early diagnosis and has been ...
The boundary of tumors (hepatocellular carcinoma, or HCC) contains rich
...
Exploiting available medical records to train high performance computer-...
Using radiological scans to identify liver tumors is crucial for proper
...
The pancreatic disease taxonomy includes ten types of masses (tumors or
...
Large-scale datasets with high-quality labels are desired for training
a...