Latest AI and machine learning research in pathology for healthcare professionals.
The early detection of liver fibrosis is of significant importance. Deep learning analysis of ultras...
Investigating the interaction between influent particles and biomass is basic and important for the ...
IMPORTANCE: Convolutional neural networks (CNN) have shown performance equal to trained dermatologis...
This article introduces a fast fractal method for classifying breast cancerous lesions in mammograph...
High-grade glioma (HGG) is an aggressive brain tumor. Sex is an important factor that differentially...
As the global incidence of cancer continues to rise rapidly, the need for swift and precise diagnose...
Optimizers are the bottleneck of the training process of any Convolutionolution neural networks (CNN...
A double-check process helps prevent errors and ensures quality control. However, it may lead to dec...
Accurately distinguishing tumor cells from normal cells is a key issue in tumor diagnosis, evaluatio...
Untargeted metabolomic analysis using mass spectrometry provides comprehensive metabolic profiling, ...
BACKGROUND: Fluorescence microscopy (FM) is an important and widely adopted biological imaging techn...
Stroke is the second leading cause of death and a major cause of disability around the world, and th...
INTRODUCTION: The detection rate of benign thyroid nodules is increasing every year, with some affec...
Skin surface imaging has been used to examine skin lesions with a microscope for over a century and ...
The second most common type of malignant tumor worldwide is colorectal cancer. Histopathology image ...
Diagnosing liver lesions is crucial for treatment choices and patient outcomes. This study develops ...
OBJECTIVES: One of the most promising adjuncts for screening breast cancer is ultrasound (US) radio-...
For conditions like osteoporosis, changes in bone pore geometry even when porosity is constant have ...
Ovarian cysts pose significant health risks including torsion, infertility, and cancer, necessitatin...
Despite recent advances, the adoption of computer vision methods into clinical and commercial applic...
Fluorescence intravital microscopy captures large data sets of dynamic multicellular interactions wi...