Artificial Intelligence (AI) has emerged as a useful aid in numerous clinical applications for
diagnosis and treatment decisions. Deep neural networks have shown the same or better …

Head and neck tumors (HNTs) constitute a multifaceted ensemble of pathologies that
primarily involve regions such as the oral cavity, pharynx, and nasal cavity. The intricate …

There has yet to be a comprehensive investigation on enhancing the diagnostic accuracy of
oral disease using handheld smartphone photographic photos. To overcome the difficulties …

Significance: Oral cancer is a quite common global health issue. Early diagnosis of
cancerous and potentially malignant disorders in the oral cavity would significantly increase …

Computational pathology refers to applying deep learning techniques and algorithms to
analyse and interpret histopathology images. Advances in artificial intelligence (AI) have led …

Nucleus segmentation is an imperative step in the qualitative study of imaging datasets,
considered as an intricate task in histopathology image analysis. Segmenting a nucleus is …

Monitoring changes within the land surface and open water bodies is critical for natural
resource management, conservation, and environmental policy. While the use of satellite …

Oral squamous cell carcinoma (OSCC) is one of the most common head and neck cancer
types, which is ranked the seventh most common cancer. As OSCC is a histological tumor …

Background Oral cancer is a life-threatening malignancy, which affects the survival rate and
quality of life of patients. The aim of this systematic review was to review deep learning (DL) …

Light-stimulus-responsive therapies have been recognized as a promising strategy for the
efficient and safe treatment of oral squamous cell carcinoma (OSCC). Hydrogels have …