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

Renal cancer management is challenging from diagnosis to treatment and follow-up. In
cases of small renal masses and cystic lesions the differential diagnosis of benign or …

In prostate cancer (PCa), the use of new radiopharmaceuticals has improved the accuracy of
diagnosis and staging, refined surveillance strategies, and introduced specific and …

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 …

Background Artificial intelligence (AI) is about to transform medical imaging. The Research
Consortium for Medical Image Analysis (RECOMIA), a not-for-profit organisation, has …

There has been an increasing role of magnetic resonance imaging (MRI) in the
management of prostate cancer. MRI already plays an essential role in the detection and …

Artificial intelligence (AI) has evolved significantly in the past few decades. This thriving
trend has also been seen in medicine in recent years, particularly in the field of imaging …

Here, we aimed to develop and validate a fully automated artificial intelligence (AI)-based
method for the detection and quantification of suspected prostate tumour/local recurrence …

Purpose With the increased use of focal radiation dose escalation for primary prostate
cancer (PCa), accurate delineation of gross tumor volume (GTV) in prostate-specific …

Introduction Lymph node metastases are a key prognostic factor in prostate cancer (PCa),
but detecting lymph node lesions from PET/CT images is a subjective process resulting in …