In healthcare, a growing number of physicians and support staff are striving to facilitate
personalized radiotherapy regimens for patients with prostate cancer. This is because …

One of the most prevalent forms of tumor found in males all over the world is prostate cancer.
The main risk factors are age and family history. Magnetic Resonance Imaging (MRI) is …

Purpose The aim of the study was to determine the impact of using a semi-automatic
commercially available AI-assisted software (Quantib® Prostate) on inter-reader agreement …

Objective Automatic MR imaging segmentation of the prostate provides relevant clinical
benefits for prostate cancer evaluation such as calculation of automated PSA density and …

The segmentation and classification of the prostate lesion or malignant growth through
manual observation are highly challenging. Machine learning-based semantic segmentation …

Despite the success of convolutional neural networks for 3D medical-image segmentation,
the architectures currently used are still not robust enough to the protocols of different …

Despite the great success of convolutional neural networks (CNN) in 3D medical image
segmentation tasks, the methods currently in use are still not robust enough to the different …

Prostate cancer is one of the most common types of cancer in the world. To reduce the
number of deaths caused by it, effective diagnostic methods are of paramount importance to …

Prostate MRI performance depends on high-quality imaging. Prostate MRI quality is
inversely proportional to the amount of rectal gas and rectal distention. Early detection of …

Prostate cancer is the most common malignant male tumor. Magnetic Resonance Imaging
(MRI) plays a crucial role in the detection, diagnosis, and treatment of prostate cancer …