Latest AI and machine learning research in pathology for healthcare professionals.
PURPOSE: Infiltration of activated dendritic cells and inflammatory cells in cornea represents an im...
INTRODUCTION: Multiplex biomarker analysis of cytological body fluid specimens is often used to assi...
BACKGROUND: Efforts are ongoing to try and find ways to reduce the number of unnecessary prostate bi...
PURPOSE: Liver cancer is one of the most common types of cancers in Asia with a high mortality rate....
Advanced microscopy enables us to acquire quantities of time-lapse images to visualize the dynamic c...
We recently published a method to infer ancestral landmark-based shape ontogenies that takes into ac...
During the radiotherapy treatment of patients with lung cancer, the radiation delivered to healthy t...
Underwater robots are useful for exploring valuable resources and marine life. Traditional underwate...
Understanding the function of the nervous system necessitates mapping the spatial distributions of i...
BACKGROUND: Magnified intraoperative visualization is of paramount importance during microsurgical p...
Herein, we implement and access machine learning architectures to ascertain models that differentiat...
Nucleus detection in histology images is a fundamental step for cellular-level analysis in computati...
Since the development of phase-contrast magnetic resonance imaging (PC-MRI), quantification of cereb...
Interstitial fibrosis and tubular atrophy (IFTA) on a renal biopsy are strong indicators of disease ...
OBJECTIVES: We aimed to assess the performance of radiomics and machine learning (ML) for classifica...
The use of immunohistochemistry in the reporting of prostate biopsies is an important adjunct when t...
INTRODUCTION: Reticulocytes (RET) are immature red blood cells, and RET enumeration in peripheral bl...
Diffuse Large B-Cell Lymphoma (DLBCL) is the most common non-Hodgkin lymphoma. Though histologically...
Machine learning reveals pathways to neuroendocrine tumor (NET) diagnosis. Patients with NET and a...
The risk of pollen-induced allergies can be determined and predicted based on data derived from poll...
Background Accurate estimation of the malignancy risk of pulmonary nodules at chest CT is crucial fo...