Results 11 to 20 of about 4,561,975 (395)
Artificial intelligence for digital and computational pathology [PDF]
Advances in digitizing tissue slides and the fast-paced progress in artificial intelligence, including deep learning, have boosted the field of computational pathology. This field holds tremendous potential to automate clinical diagnosis, predict patient
Andrew H. Song+6 more
semanticscholar +1 more source
Data-efficient and weakly supervised computational pathology on whole-slide images [PDF]
Deep-learning methods for computational pathology require either manual annotation of gigapixel whole-slide images (WSIs) or large datasets of WSIs with slide-level labels and typically suffer from poor domain adaptation and interpretability.
Ming Y. Lu+5 more
semanticscholar +1 more source
Artificial intelligence in diagnostic pathology
Digital pathology (DP) is being increasingly employed in cancer diagnostics, providing additional tools for faster, higher-quality, accurate diagnosis.
Saba Shafi, Anil V. Parwani
semanticscholar +1 more source
A 74-year-old woman with toxic nodular goiter, diabetes mellitus, depression, gastroesophageal reflux disease, and hypercholesterolemia had routine serum protein electrophoresis done for the first time. Her medications included metformin, levothyroxine, sertraline, rosuvastatin, and rabeprazole. The patient's renal function was normal.
Henry Simpkins+2 more
openaire +3 more sources
Artificial intelligence and computational pathology
Data processing and learning has become a spearhead for the advancement of medicine, with pathology and laboratory medicine has no exception. The incorporation of scientific research through clinical informatics, including genomics, proteomics ...
M. Cui, David Zhang
semanticscholar +1 more source
Digital pathology and artificial intelligence in translational medicine and clinical practice
Traditional pathology approaches have played an integral role in the delivery of diagnosis, semi-quantitative or qualitative assessment of protein expression, and classification of disease.
V. Baxi+3 more
semanticscholar +1 more source
QuPath: Open source software for digital pathology image analysis
QuPath is new bioimage analysis software designed to meet the growing need for a user-friendly, extensible, open-source solution for digital pathology and whole slide image analysis.
P. Bankhead+12 more
semanticscholar +1 more source
Interplay between inflammation and thrombosis in cardiovascular pathology
Thrombosis is the most feared complication of cardiovascular diseases and a main cause of death worldwide, making it a major health-care challenge. Platelets and the coagulation cascade are effectively targeted by antithrombotic approaches, which carry ...
K. Stark, S. Massberg
semanticscholar +1 more source
PATHOLOGY AND BACTERIOLOGY [PDF]
n ...
Councilman, W. T., Mallory, F. B.
openaire +4 more sources
Recent Progress in Pathology and Pathological Anatomy [PDF]
n ...
openaire +5 more sources