Artificial intelligence (AI) has significantly impacted thyroid cancer diagnosis in recent years,
offering advanced tools and methodologies that promise to revolutionize patient outcomes …

The growing interest in developing smart diagnostic systems to help medical experts
process extensive data for treating incurable diseases has been notable. In particular, the …

Overexpression of human epidermal growth factor receptor 2 (HER2/ERBB2) is identified as
a prognostic marker in metastatic breast cancer and a predictor to determine the effects of …

Simple Summary Early detection and personalized treatment for breast cancer are vital for
breast cancer patients survival. Computational pathology approaches can be employed by …

Purpose It is crucial to preoperatively diagnose lateral cervical lymph node (LN) metastases
(LNMs) in papillary thyroid carcinoma (PTC) patients. This study aims to develop deep …

Background: Disruptions in vascular formation attributable to chemical insults is a pivotal risk
factor or potential etiology of developmental defects and various disease settings. Among …

The overexpression of the human epidermal growth factor receptor 2 (HER2) is a predictive
biomarker in therapeutic effects for metastatic breast cancer. Accurate HER2 testing is …

Advances in computation pathology have continued at an impressive pace in recent years
[1]. New insights into digital pathology, combined with advances in artificial intelligence …

The imbalanced distribution of long-tailed data presents a considerable challenge for deep
learning models, as it causes them to prioritize the accurate classification of head classes …

Background Malignant pleural mesothelioma (MPM) is a rare disease with limited treatment
and poor prognosis, and a precise and reliable means to predicting MPM remains lacking …