Prostate cancer (PCa) is the most common worldwide diagnosed malignancy in male
population. The diagnosis, the identification of aggressive disease, and the post-treatment …

Radiomics and genomics represent two of the most promising fields of cancer research,
designed to improve the risk stratification and disease management of patients with prostate …

Objectives We systematically reviewed the current literature evaluating the ability of fully-
automated deep learning (DL) and semi-automated traditional machine learning (TML) MRI …

Prostate cancer (PCa) is one of the most frequently diagnosed malignancies of men in the
world. Due to a variety of treatment options in different risk groups, proper diagnostic and …

We present the current clinical applications of radiomics in the context of prostate cancer
(PCa) management. Several online databases for original articles using a combination of …

Abstract Background Prostate cancer (PCa)(early) detection poses significant challenges,
including unnecessary testing and the risk of potential overdiagnosis. The European …

Simple Summary The increasing interest in implementing artificial intelligence in radiomic
models has occurred alongside advancement in the tools used for computer-aided …

Objectives To evaluate the potential of a clinical-based model, a multiparametric ultrasound-
based radiomics model, and a clinical-radiomics combined model for predicting prostate …

Abstract “Radiomics,” as it refers to the extraction and analysis of a large number of
advanced quantitative radiological features from medical images using high-throughput …

The Novel Green Learning Artificial Intelligence for Prostate Cancer Imaging - Urologic Clinics
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