Latest AI and machine learning research in pathology for healthcare professionals.
Pollen and tracheophyte spores are ubiquitous environmental indicators at local and global scales. P...
Digital pathology adoption allows for applying computational algorithms to routine pathology tasks. ...
Studying the central dogma at the single-cell level has gained increasing attention to reveal hidden...
Glucose transporter-1 (GLUT-1) expression level is a biomarker of tumour hypoxia condition in immuno...
In-flow phase-contrast tomography provides a 3D refractive index of label-free cells in cytometry sy...
A new system based on binary Deep Learning (DL) convolutional neural networks has been developed to ...
Recent advances in cryo-electron microscopy (cryo-EM) have enabled modeling macromolecular complexes...
INTRODUCTION: The aim of this feasibility study was to test the intraoperative use of this brand-new...
OBJECTIVES: With the popularization of chest computed tomography (CT) screening, there are more sub-...
RATIONALE AND OBJECTIVES: To develop a deep learning model for the automated classification of breas...
Intestinal parasitic infections (IPIs) caused by protozoan and helminth parasites are among the most...
Modern omics technologies can generate massive amounts of biomedical data, providing unprecedented o...
The diagnosis of myelodysplastic syndromes (MDS) might be challenging and relies on the convergence ...
BACKGROUND: Artificial intelligence (AI)-based cancer detectors (CAD) for mammography are starting t...
PURPOSE: 2-[F]FDG PET/CT plays an important role in the management of pulmonary nodules. Convolution...
INTRODUCTION: Parvovirus B19 transmitted by umbilical cord blood (UCB) products may cause severe dis...
OBJECTIVE: Considerable heterogeneity is observed in the malignancy rates of thyroid nodules classif...
Motion compensation in radiation therapy is a challenging scenario that requires estimating and fore...
Comprehensive semantic segmentation on renal pathological images is challenging due to the heterogen...
The analysis of the microvasculature and the assessment of angiogenesis have significant prognostic ...
Malignant brain tumors including parenchymal metastatic (MET) lesions, glioblastomas (GBM), and lymp...