Latest AI and machine learning research in pathology for healthcare professionals.
This study aimed (i) to compare the performance of the BD Onclarity human papillomavirus (HPV) assay...
Oesophageal cancer (ESCA) is a clinically challenging disease with poor prognosis and health-related...
Deep Neural Network (DNN), as a deep architectures, has shown excellent performance in classificatio...
Tissue texture reflects the spatial distribution of contrasts of image voxel gray levels, i.e., the ...
Deep-UV (DUV) excitation fluorescence microscopy has potential to provide rapid diagnosis with simpl...
(CC), an Indonesian functional food, utilizes the bioactivity of essential oil (MCEO) to maintain ...
PURPOSE: As some of the most important factors for treatment decision of lung cancer (which is the d...
AIMS/HYPOTHESIS: Corneal confocal microscopy is a rapid non-invasive ophthalmic imaging technique th...
Background Multicenter studies are required to validate the added benefit of using deep convolutiona...
Despite great advances, molecular cancer pathology is often limited to the use of a small number of ...
BACKGROUND: Non-alcoholic fatty liver disease (NAFLD) affects 25-30% of the general population and i...
A 5-year-old male Beagle dog produced ejaculates with a high percentage of spermatozoa with abnormal...
Lung cancer is considered as a deadliest disease worldwide due to which 1.76 million deaths occurred...
INTRODUCTION: Probe-based confocal laser endomicroscopy (pCLE) is a promising modality for classifyi...
Imaging flow cytometry (IFC) produces up to 12 spectrally distinct, information-rich images of singl...
High-throughput single-cell cytometry technologies have significantly improved our understanding of ...
In digital mammography, which is used for the early detection of breast tumors, oversight may occur ...
We demonstrate that a deep neural network can be trained to virtually refocus a two-dimensional fluo...
Early and accurate diagnosis of diseases can often save lives. Diagnosis of diseases from tissue sam...
There have been several empirical studies addressing breast cancer using machine learning and soft c...
Breast cancer is the most common cancer among women worldwide with about half a million cases report...