Breast cancer is being diagnosed earlier and more accurately through deep learning and
machine learning models. This study contributes to medical science and technology using a …

Schizophrenia (SZ) is a devastating mental disorder that disrupts higher brain functions like
thought, perception, etc., with a profound impact on the individual's life. Deep learning (DL) …

Over the last decade, convolutional neural networks have emerged and advanced the state-
of-the-art in various image analysis and computer vision applications. The performance of …

Cancers, known collectively as head and neck cancers, usually begin in the squamous cells
that line the head and neck's mucosal surfaces, forming a tumour mass. It usually develops …

Head and neck radiotherapy induces important toxicity, and its efficacy and tolerance vary
widely across patients. Advancements in radiotherapy delivery techniques, along with the …

Background and Purpose Machine learning (ML) is emerging as a feasible approach to
optimize patients' care path in Radiation Oncology. Applications include autosegmentation …

Simple Summary In soft-tissue sarcoma (STS) patients, the decision for the optimal treatment
modality largely depends on STS size, location, and a pathological measure that assesses …

Breast cancer can develop when breast cells replicate abnormally. It is now a worldwide
issue that concerns people's safety all around the world. Every day, women die from breast …

Background Lung cancer is the leading cause of cancer-related deaths worldwide. The
majority of lung cancers are non-small cell lung cancer (NSCLC), accounting for …

Abstract Background and Objective Recently, deep learning (DL) algorithms showed to be
promising in predicting outcomes such as distant metastasis-free survival (DMFS) and …