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

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

Based on the advantages of revealing the functional status and molecular expression of
tumor cells, positron emission tomography (PET) imaging has been performed in numerous …

Prostate cancer is the second most common cause of malignancy among men, with bone
metastasis being a significant source of morbidity and mortality in advanced cases …

Background Artificial intelligence (AI) and machine learning (ML) models continue to evolve
the clinical decision support systems (CDSS). However, challenges arise when it comes to …

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 …

Metastatic Prostate Cancer (mPCa) is associated with a poor patient prognosis. mPCa
spreads throughout the body, often to bones, with spatial and temporal variations that make …

Purpose This study aimed to develop and assess an automated segmentation framework
based on deep learning for metastatic prostate cancer (mPCa) lesions in whole-body [68Ga] …

Radiotheranostics refers to the pairing of radioactive imaging biomarkers with radioactive
therapeutic compounds that deliver ionizing radiation. Given the introduction of very …

Radiomics is an advanced image-processing framework, which extracts image features and
considers them as biomarkers towards personalized medicine. Applications include disease …