Latest AI and machine learning research in pathology for healthcare professionals.
Lung cancer is an increasingly serious health problem worldwide, and early detection and diagnosis a...
OBJECTIVE: This study aimed to construct a machine learning model using clinical variables and ultra...
Histological assessment of autoimmune hepatitis (AIH) is challenging. As one of the possible results...
Pulmonary hypertension (PH) is a syndrome complex that accompanies a number of diseases of different...
The growing scale and dimensionality of multiplexed imaging require reproducible and comprehensive y...
The phonocardiogram (PCG) can be used as an affordable way to monitor heart conditions. This study p...
Endometrial cancer is the fourth most common cancer in women in the United States, with a lifetime r...
Liver resection is one of the best treatments for small hepatocellular carcinoma (HCC), but post-res...
Idiopathic pulmonary fibrosis (IPF) is a chronic disease of unknown etiology that lacks a specific t...
Super-resolution microscopy, or nanoscopy, enables the use of fluorescent-based molecular localizati...
Images obtained from single-photon emission computed tomography for myocardial perfusion imaging (MP...
Chronic endometritis (CE) is an inflammatory pathologic condition of the uterine mucosa characterize...
Non-small cell lung carcinoma (NSCLC) is the most common type of pulmonary cancer, one of the deadli...
Colorectal cancer remains a major cause of cancer death and morbidity worldwide. Surgery is a major ...
Accurate assessment of epidermal growth factor receptor (EGFR) mutation status and subtype is critic...
Cancer diagnosis and management depend upon the extraction of complex information from microscopy im...
The process of identification and management of neurological disorder conditions faces challenges, p...
Breast cancer is the second most common cancer worldwide, primarily affecting women, while histopath...
Malaria is an extremely malignant disease and is caused by the bites of infected female mosquitoes. ...
Renal cell carcinoma (RCC), accounting for 90% of all kidney cancer, is categorized into clear cell ...
PURPOSE: To conduct the fusion of radiomics and deep transfer learning features from the intratumora...