The integration of artificial intelligence (AI) into medical imaging has guided in an era of
transformation in healthcare. This literature review explores the latest innovations and …

Artificial intelligence (AI) is a rapidly evolving field with many neuro-oncology applications. In
this review, we discuss how AI can assist in brain tumour imaging, focusing on machine …

Digital health and wearable technologies represent a transformative wave in healthcare,
blending medical advancements with innovative technology to enhance patient care …

Lung cancer is a prevalent form of cancer worldwide, necessitating early and accurate
diagnosis for successful treatment. Within medical imaging processing, image segmentation …

Nowadays, inspired by the great success of Transformers in Natural Language Processing,
many applications of Vision Transformers (ViTs) have been investigated in the field of …

Abstract The rise of Industry 4.0, Industry 5.0, and Society 5.0 signifies an unprecedented
technological revolution that integrates the realms of physical, digital, and biological …

Automated blood vessel segmentation is critical for biomedical image analysis, as vessel
morphology changes are associated with numerous pathologies. Still, precise segmentation …

The combination of medical imaging and deep learning has significantly improved
diagnostic and prognostic capabilities in the healthcare domain. Nevertheless, the inherent …

Background The approaches based on vision transformers (ViTs) are advancing the field of
medical artificial intelligence (AI) and cancer diagnosis. Recently, many researchers have …

Cervical cancer (CCa) is the fourth most prevalent and common cancer affecting women
worldwide, with increasing incidence and mortality rates. Hence, early detection of CCa …