Latest AI and machine learning research in other cancers for healthcare professionals.
The Mary Tyler Moore Vision Initiative (MTM Vision) honors Mary Tyler Moore's commitment to ending v...
Multi-modal 3D medical image segmentation aims to accurately identify tumor regions across differe...
This study integrates PET metabolic information with CT anatomical structures to establish a 3D mu...
Photon Absorption Remote Sensing (PARS) enables label-free imaging of subcellular morphology by ob...
Glioblastomas are the most aggressive type of glioma, having a 5-year survival rate of 6.9%. Treat...
Glioblastomas are the most aggressive type of glioma, having a 5-year survival rate of 6.9%. Treat...
Colorectal cancer is a common malignancy and a major health concern in Korea. Although colonoscopy i...
Malignant gliomas (MGs), particularly glioblastoma, are among the most aggressive brain tumors, wi...
In this study, we built an end-to-end tumor-infiltrating lymphocytes (TILs) assessment pipeline wi...
In this study, we built an end-to-end tumor-infiltrating lymphocytes (TILs) assessment pipeline wi...
Background: Automated classification of thyroid Fine Needle Aspiration Biopsy (FNAB) images faces ...
Telomere-related genes (TRGs) are vital in diverse tumor types. Nevertheless, there is a notable lac...
Speed-of-sound (SoS) is a biomechanical characteristic of tissue, and its imaging can provide a pr...
Cancer remains one of the leading causes of mortality worldwide, and among its many forms, brain t...
BACKGROUND: Esophageal squamous cell carcinoma is a major histological subtype of esophageal cancer....
The histopathological images contain a huge amount of information, which can make diagnosis an ext...
Non-specific clinical biomarkers have been shown to help identify prognostic risks in cancer patient...
Mohs micrographic surgery (MMS) is the gold standard technique for removing high risk nonmelanoma ...
Robust localization of lymph nodes (LNs) in multiparametric MRI (mpMRI) is critical for the assess...
BACKGROUND: The prognosis of gastric cancer (GC) patients is poor, and an accurate prognostic stagin...
This study explores the application of supervised and unsupervised autoencoders (AEs) to automate ...