Latest AI and machine learning research in pathology for healthcare professionals.
Using methylation characteristics of human genes to construct machine learning predictive models fo...
Computational pathology, integrating computational methods and digital imaging, has shown to be ef...
In computational pathology, researchers often face challenges due to the scarcity of labeled patho...
While deep learning methods have shown great promise in improving the effectiveness of prostate ca...
Purpose: Comprehensive legal medicine documentation includes both an internal but also an external...
Recent research in medical image analysis with deep learning almost exclusively focuses on grid- o...
Inverse generation problems, such as denoising without ground truth observations, is a critical ch...
Deep learning (DL) techniques have emerged as promising solutions for medical wound tissue segment...
Background: Structured information extraction from unstructured histopathology reports facilitates...
Acute allograft rejection in patients undergoing renal transplantation is diagnosed through histopat...
Thousands of individuals succumb annually to leukemia alone. As artificial intelligence-driven tec...
Internet miscreants increasingly utilize short-lived disposable domains to launch various attacks....
Diagnosing diseases through histopathology whole slide images (WSIs) is fundamental in modern path...
Identifying subtle phenotypic variations in cellular images is critical for advancing biological r...
Cervical cancer is a leading malignancy in female reproductive system. While AI-assisted cytology ...
Precise segmentation and classification of cell instances are vital for analyzing the tissue micro...
Multiple instance learning (MIL)-based framework has become the mainstream for processing the whol...
From self-supervised, vision-only models to contrastive visual-language frameworks, computational ...
Cancers are characterized by remarkable heterogeneity and diverse prognosis. Accurate cancer class...
Hypercomplex image processing extends conventional techniques in a unified paradigm encompassing a...
Whole slide pathology image classification presents challenges due to gigapixel image sizes and li...