Latest AI and machine learning research in pathology for healthcare professionals.
IgA nephropathy progresses to kidney failure, making early detection important. However, definitive ...
The retroperitoneal liposarcoma (RLPS) is a rare malignancy whose only curative therapy is surgical ...
One of the most challenging aspects of bee ecology and conservation is species-level identification,...
RATIONALE AND OBJECTIVES: We examined the effectiveness of computed tomography (CT)-based deep learn...
The detection of lymph node metastases is essential for breast cancer staging, although it is a tedi...
Microplastics (MPs) in natural waters are heterogeneously mixed with other natural particles includi...
Field-derived metrics are critical for effective control of malaria, particularly in sub-Saharan Afr...
PURPOSE: A skin lesion refers to an area of the skin that exhibits anomalous growth or distinctive v...
BACKGROUND: Hyperspectral imaging (HSI), combined with machine learning, can help to identify charac...
To improve the efficiency of pathological diagnoses, the development of automatic pathological diagn...
BACKGROUND: Patients with a Breast Imaging Reporting and Data System (BI-RADS) 4 mammogram are curre...
Intraoperative Raman spectroscopy (RS) has been identified as a potential tool for surgeons to rapid...
PURPOSE: To establish a pathomic model using histopathological image features for predicting indolea...
BACKGROUND AND OBJECTIVES: Graph neural network (GNN) has been extensively used in histopathology wh...
Automated detection of cervical abnormal cells from Thin-prep cytologic test (TCT) images is crucial...
Surface-enhanced Raman spectroscopy (SERS) is a powerful optical technique for non-invasive and labe...
Digital pathology poses unique computational challenges, as a standard gigapixel slide may comprise ...
Myocardial Infarction (MI) commonly referred to as a heart attack, results from the abrupt obstructi...
Cervical cancer is a significant global health issue, its prevalence and prognosis highlighting the ...
BACKGROUND: Machine learning (ML) through artificial intelligence (AI) could provide clinicians and ...
BACKGROUND: Reliable differentiation of uveal melanoma and choroidal nevi is crucial to guide approp...