Latest AI and machine learning research in other cancers for healthcare professionals.
Lymph node (LN) assessment is an essential task in the routine radiology workflow, providing valua...
Accurate, noninvasive glioma characterization is crucial for effective clinical management. Tradit...
Accurately visualizing and editing tumor progression in medical imaging is crucial for diagnosis, ...
BACKGROUND: Accurate prediction of early recurrence (ER) is essential to improve the prognosis of pa...
Targeted Radionuclide Therapy (TRT) is a modern strategy in radiation oncology that aims to admini...
Tumor segmentation plays a critical role in histopathology, but it requires costly, fine-grained i...
Calculating percentage bone loss is a critical test for periodontal disease staging but is sometim...
Cancer is a major public health problem while liver cancer is the main cause of global cancer-relate...
Due to the complex structure of the brain, variations in tumor shapes and sizes, and the resemblance...
OBJECTIVE: Hepatocellular carcinoma (HCC) poses a heavy global disease burden; early diagnosis is cr...
OBJECTIVE: Gallbladder polyps (GBPs) are increasingly prevalent, with the majority being benign; how...
Purpose To develop deep learning (DL) radiopathomics models based on contrast-enhanced MRI and patho...
INTRODUCTION: Nasopharyngeal carcinoma (NPC) typically presents as advanced disease due to the lack ...
Using machine learning approaches, we developed and validated a novel prognostic model for oesophage...
Accurate tumor detection in digital pathology whole-slide images (WSIs) is crucial for cancer diag...
Despite advances in methods to interrogate tumor biology, the observational and population-based a...
Glioma, the prevalent primary brain tumor, exhibits diverse aggressiveness levels and prognoses. P...
Existing tracheal tumor resection methods often lack the precision required for effective airway c...
Background: Recruitment for cohorts involving complex liver diseases, such as hepatocellular carci...
Tumor is a leading cause of death worldwide, with an estimated 10 million deaths attributed to tum...
Interpretability is crucial to enhance trust in machine learning models for medical diagnostics. H...