Latest AI and machine learning research in pathology for healthcare professionals.
Cutaneous squamous cell carcinoma (SCC) is an increasingly prevalent global health concern. Current ...
Integrating artificial intelligence into inflammatory bowel disease (IBD) has the potential to revol...
We aim to objectify the evaluation criteria of agglutination rate estimation in the Microscopic Aggl...
Segmentation and classification of large numbers of instances, such as cell nuclei, are crucial task...
The incidence of urothelial carcinoma continues to rise annually, particularly among the elderly. Pr...
Biological sex is a crucial variable in neuroscience studies where sex differences have been documen...
PURPOSE: The objective of this study was to develop a deep learning model, using the ConvNeXt algori...
Diabetic nephropathy is a serious complication of diabetes, and primary Sjögren's syndrome is a dise...
Esophageal cancer is one of the leading causes of cancer-related deaths worldwide. The identificatio...
Thyroid nodules are commonly diagnosed with ultrasonography, which includes internal characteristics...
BACKGROUND: To develop and compare machine learning models based on triphasic contrast-enhanced CT (...
BACKGROUND AND OBJECTIVE: Cell segmentation in bright-field histological slides is a crucial topic i...
INTRODUCTION: Oral epithelial dysplasia (OED) is a precancerous histopathological finding which is c...
This paper proposes an approach to enhance the differentiation task between benign and malignant Bre...
Multiparameter flow cytometry data is visually inspected by expert personnel as part of standard cli...
INTRODUCTION: Histological images contain phenotypic information predictive of patient outcomes. Due...
OBJECTIVE: Pulmonary cavity lesion is one of the commonly seen lesions in lung caused by a variety o...
Immunotherapy is becoming increasingly important, but the overall response rate is relatively low in...
. Current lung cancer screening protocols primarily evaluate pulmonary nodules, yet often neglect th...
Neoplasm is an umbrella term used to describe either benign or malignant conditions. The correlation...
BACKGROUND: RNA sequencing combined with machine learning techniques has provided a modern approach ...