Latest AI and machine learning research in pathology for healthcare professionals.
Gastric cancer is a leading contributor to cancer incidence and mortality globally. Recently, artifi...
The gut-brain axis, which is mediated via enteric and central neurohormonal signaling, is known to r...
The pathological diagnosis of intracranial germinoma (IG), oligodendroglioma, and low-grade astrocyt...
Accurate classification of adrenal lesions on magnetic resonance (MR) images are very important for ...
Microscopic examination of pathology slides is essential to disease diagnosis and biomedical researc...
Gene mutation detection is usually carried out by molecular biological methods, which is expensive a...
BACKGROUND: Developing computer aided diagnosis (CAD) schemes of mammograms to classify between mali...
BACKGROUND: Benign Paroxysmal Positional Vertigo (BPPV) is the leading cause of vertigo, and its cha...
Histopathology is a crucial diagnostic tool in cancer and involves the analysis of gigapixel slides....
Early diagnosis of interstitial lung diseases secondary to connective tissue diseases is critical fo...
PURPOSE: To evaluate the diagnostic performance of deep learning using the Residual Networks 50 (Res...
AIMS: Classification of histological patterns in lung adenocarcinoma (LUAD) is critical for clinical...
Many malignant cancers like glioblastoma are highly adaptive diseases that dynamically change their ...
OBJECTIVES: To develop deep learning-assisted diagnosis models based on CT images to facilitate radi...
Infrared (IR) spectroscopic imaging records spatially resolved molecular vibrational spectra, enabli...
Polyploidy, the duplication of the entire genome within a single cell, is a significant characterist...
The accuracy and timeliness of the pathologic diagnosis of soft tissue tumors (STTs) critically affe...
In the field of medical imaging, the classification of brain tumors based on histopathological analy...
BACKGROUND: Adrenal incidentalomas are radiologically discovered tumors that represent a variety of ...
OBJECTIVE: Artificial intelligence (AI)-based cytopathology studies conducted using deep learning ha...
Cervical cancer is the most common reproductive malignancy in the female reproductive system. The in...