Latest AI and machine learning research in pathology for healthcare professionals.
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...
. 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 ...
Artificial intelligence (AI) is a rapidly growing field with significant implications for radiology....
PURPOSE: To develop a deep learning (DL) model for classifying histological types of primary bone tu...
Cell-based medicinal products (CBMPs) are a growing class of therapeutics that promise new treatment...
Graph convolutional neural networks have shown significant potential in natural and histopathology i...
Prostate cancer is the second most frequent cancer in men worldwide after lung cancer. Its diagnosis...
BACKGROUND AND OBJECTIVE: Lung cancer (LC) has a high fatality rate that continuously affects human ...
Interaction of polarized light with healthy and abnormal regions of tissue reveals structural inform...
Accurate intraoperative differentiation of primary central nervous system lymphoma (PCNSL) remains p...
The purpose of this study is to establish a deep learning automatic assistance diagnosis system for ...
OBJECTIVE: It has been shown that optical coherence tomography (OCT) can identify brain tumor tissue...
Mobile health apps are widely used for breast cancer detection using artificial intelligence algorit...