Latest AI and machine learning research in pathology for healthcare professionals.
This study reviews the technique of convolutional neural network (CNN) applied in a specific field o...
Estimating over-amplification of human epidermal growth factor receptor 2 (HER2) on invasive breast ...
This study was aimed to construct classification and regression tree (CART) model of glycosaminoglyc...
PURPOSE: We aimed to use deep learning with convolutional neural network (CNN) to discriminate betwe...
BACKGROUND AND OBJECTIVE: Segmenting different tissue components in histopathological images is of g...
The health and function of tissue rely on its vasculature network to provide reliable blood perfusio...
Automated cell classification is an important yet a challenging computer vision task with significan...
The purpose of this study is to better understand the role of interleukin 35 (IL35) in esophageal ca...
Semen quality assessed by sperm count and sperm cell characteristics such as morphology and motility...
The histological analysis of tissue samples, widely used for disease diagnosis, involves lengthy and...
Classification of histologic patterns in lung adenocarcinoma is critical for determining tumor grade...
Hearing loss (HL) is the most common neurodegenerative disease worldwide. Despite its prevalence, cl...
The brain tumor can be created by uncontrollable increase of abnormal cells in tissue of brain and i...
OBJECTIVE: Nucleus recognition is a critical yet challenging step in histopathology image analysis, ...
Based on morphology it is often challenging to distinguish between the many different soft tissue sa...
The cytokinesis-block micronucleus (CBMN) assay has become a fully-validated and standardized method...
Accumulation of abnormal tau in neurofibrillary tangles (NFT) occurs in Alzheimer disease (AD) and a...
A major challenge in the field of segmentation in digital pathology is given by the high effort for ...
Artificial Intelligence, in particular deep neural networks are the most used machine learning techn...
Accurate profiling of tumors using immunohistochemistry (IHC) is essential in cancer diagnosis. The ...
Magnetic resonance fingerprinting (MRF) is a quantitative imaging technique that can simultaneously ...