Latest AI and machine learning research in pathology for healthcare professionals.
Raman spectroscopy enables nondestructive, label-free imaging with unprecedented molecular contrast,...
One of the most common malignant tumors of the digestive tract is emergency colorectal cancer. In re...
A principal challenge in the analysis of tissue imaging data is cell segmentation-the task of identi...
Malignant salivary gland tumors represent a challenge for pathologists due to their low frequency an...
The convergence of digital pathology and computer vision is increasingly enabling computers to perfo...
BACKGROUND: The rapid development of artificial intelligence technology has improved the capability ...
Automatic pattern recognition using deep learning techniques has become increasingly important. Unfo...
PURPOSE: The incidence of thyroid cancer has significantly increased in the last few decades. Howeve...
We define cell morphodynamics as the cell's time dependent morphology. It could be called the cell's...
Introduction White blood cells (WBCs) are immunity cells which fight against viruses and bacteria in...
AIMS: Immunohistochemical programmed death-ligand 1 (PD-L1) staining to predict responsiveness to im...
Background Standardized manual region of interest (ROI) sampling strategies for hepatic MRI steatosi...
BACKGROUND: Histopathological assessment of transplant biopsies is currently the standard method to ...
In healthcare, it is essential to explain the decision-making process of machine learning models to ...
Vertigo is a sensation of movement that results from disorders of the inner ear balance organs and t...
For permanent magnet DC motors (PMDCMs), the amplitude of the current signals gradually decreases af...
Next-generation sequencing has enabled the collection of large biological data sets, allowing novel ...
Rolling bearings are important in rotating machinery and equipment. This research proposes variation...
In this paper, we analyzed the application value and effect of deep learn-based image segmentation m...
Several arterial diseases are closely related with mechanical properties of the blood vessel and int...
Acquiring comprehensive knowledge about the uptake of pollutants, impact on tissue integrity and the...