Latest AI and machine learning research in pathology for healthcare professionals.
Histopathological images contain rich phenotypic information that can be used to monitor underlying ...
BACKGROUND AND OBJECTIVE: Virus identification in electron microscopy (EM) images is considered as o...
BACKGROUND: Pathologist evaluation of donor liver biopsies provides information for accepting or dis...
Pollen identification and quantification are crucial but challenging tasks in addressing a variety o...
The standard medical practice for cancer diagnosis requires histopathology, which is an invasive and...
Versatile soft tissue contrast in magnetic resonance imaging is a unique advantage of the imaging mo...
Of all bacterial infectious diseases, infection by Mycobacterium tuberculosis poses one of the highe...
BACKGROUND: A microscopic analysis of tissue is the gold standard for cancer detection. Hematoxylin-...
The segmentation of neoplasms is an important part of radiotherapy treatment planning, monitoring di...
OBJECTIVE: The aim of this study was to compare the efficacy, safety, and duration of Remebot robot-...
The scanning laser ophthalmoscopy (SLO) has become an important tool for the determination of periph...
Our objective was to compare the diagnostic performance and diagnostic confidence of convolutional n...
Advances in reagents, methodologies, analytic platforms, and tools have resulted in a dramatic trans...
Over the past decade rapid advancements in molecular imaging (MI) and artificial intelligence (AI) h...
An important need exists to better understand and stratify kidney disease according to its underlyin...
The association of the intrinsic optical and biophysical properties of cells to homeostasis and path...
BACKGROUND AND OBJECTIVES: Immunohistopathology is an essential technique in the diagnostic workflow...
BACKGROUND: Helicobacter pylori plays a central role in the development of gastric cancer, and predi...
The response of adult human bone marrow stromal stem cells to surface topographies generated through...
This study aimed to explore the performance of machine learning (ML)-based MRI texture analysis in ...
Artificial intelligence and machine learning based approaches are increasingly finding their way int...