Latest AI and machine learning research in pathology for healthcare professionals.
OBJECTIVES: The aim of the study was to assess the role of HE4 and CA125 in differentiation between ...
Multispectral imaging (MSI) was implemented to develop a burn tissue classification device to assist...
Primary hyperparathyroidism (PHPT) in children and adolescents is a rare condition. PHPT is usually ...
This study demonstrates that nerve growth factor (NGF) plays a protective role in myocardial infarct...
Polyhexamethylene biguanide (PHMB) is an antiseptic with antiviral and antibacterial properties used...
A 60-year-old man underwent total gastrectomy with Japanese D2 lymph node dissection for advanced ga...
A 62-year-old man was diagnosed with gastric cancer and underwent distal gastrectomy, and D1+b lymph...
A 68-year-old man diagnosed with type 0-â… gastric cancer by gastrointestinal endoscopy underwent urge...
A 76-year-old man presented with many bullous lesions and erythema over his whole body in August 201...
A 77 year-old man with asymptomatic microscopic hematuria underwent a cystoscopic examination, which...
The aim is to study the effects and underlying mechanisms of astragalus polysaccharide (APS) on the ...
A rapid and highly accurate diagnostic tool for distinguishing benign tumors from malignant ones is ...
OBJECTIVE: To develop a method whereby axillary lymph node (ALN) metastasis can be predicted without...
Quantitative measurements from segmentations of human brain magnetic resonance (MR) images provide i...
Conventionally, a definitive diagnosis of cancer is derived from histopathological diagnostics based...
We describe a system for rapidly screening hundreds of nanoparticle samples using transmission elect...
Colorectal cancer is one of the most common cancers in the world. As part of its diagnosis, a histol...
Automatic identification of fungi in microscopic fecal images provides important information for eva...
The conformational states explored by polymers and proteins can be controlled by environmental condi...
The promise of personalized medicine will require rigorously validated molecular diagnostics develop...
We investigate the problem of diagnostic lung nodule classification using thoracic Computed Tomograp...