The high-throughput extraction of quantitative imaging features from medical images for the
purpose of radiomic analysis, ie, radiomics in a broad sense, is a rapidly developing and …

Given the recent success of artificial intelligence (AI) in computer vision applications, many
pathologists anticipate that AI will be able to assist them in a variety of digital pathology …

Accurate glioma subtype classification is critical for the treatment management of patients
with brain tumors. Developing an automatically computer-aided algorithm for glioma subtype …

Early and accurate detection and classification of glioma types is of paramount importance
in determining treatment planning and increasing the survival rate of patients. At present …

Background Timely and accurate intraoperative cryosection evaluations remain the gold
standard for guiding surgical treatments for gliomas. However, the tissue-freezing process …

Cancer nanotechnologies possess immense potential as therapeutic and diagnostic
treatment modalities and have undergone significant and rapid advancement in recent …

In recent years, the diagnosis of gliomas has become increasingly complex. Analysis of
glioma histopathology images using artificial intelligence (AI) offers new opportunities to …

Due to the transformation of artificial intelligence (AI) tools and technologies, AI-driven drug
discovery has come to the forefront. It reduces the time and expenditure. Due to these …

In common medical procedures, the time-consuming and expensive nature of obtaining test
results plagues doctors and patients. Digital pathology research allows using computational …

Histopathology and genomic profiling are cornerstones of precision oncology and are
routinely obtained for patients with cancer. Traditionally, histopathology slides are manually …