Latest AI and machine learning research in pathology for healthcare professionals.
Oral leukoplakia (OL) has an inherent disposition to develop oral cancer. OL with epithelial dysplas...
PURPOSE: This study investigates the application of Radiomic features within graph neural networks (...
PURPOSE: Thyroid nodules are highly prevalent in the general population, posing a clinical challenge...
Focal liver lesions (FLL) are common incidental findings in abdominal imaging. While the majority of...
BACKGROUND AND OBJECTIVE: Fetal brain tissue segmentation provides foundational support for comprehe...
Breast cancer (BC) is the most frequently occurring cancer disease observed in women after lung canc...
Testicular histology based on testicular biopsy is an important factor for determining appropriate t...
BACKGROUND: Available codes in the ICD-10 do not accurately reflect soft tissue sarcoma diagnoses, a...
Efficient extraction and analysis of histopathological images are crucial for accurate medical diagn...
Lymph-node status is important in decision-making during early gastric cancer (EGC) treatment. Curre...
BACKGROUND: Radiomics has become an important tool for distinguishing benign and malignant vertebral...
Breast cancer is a significant global public health concern, with various treatment options availabl...
Cervical cancer remains a major global health challenge, accounting for significant morbidity and mo...
BACKGROUND: Conventional microscopy of Kato-Katz (KK1.0) thick smears, the primary method for diagno...
The precise classification of copy number variants (CNVs) presents a significant challenge in genomi...
BACKGROUND: The study's objective was to develop an automated method for a histopathology recognitio...
Diagnosing and classifying central nervous system tumors such as gliomas or glioblastomas pose a sig...
Oral cancer is a global health challenge with a difficult histopathological diagnosis. The accurate ...
Deep learning-assisted digital pathology has demonstrated the potential to profoundly impact clinica...
The Food and Drug Administration's recent decision to eliminate mandatory animal testing for drug ap...
This work aims to perform a cross-site validation of automated segmentation for breast cancers in MR...