Led by Professor Fu Jin, the study addresses a critical challenge in radiation therapy: balancing the computational speed and ...

Artificial intelligence (AI)-supported mammography identifies more cancers during screening and reduces the rate of breast ...

A new study published in the journal of Scientific Reports proposed a potential diagnostic tool by combining deep learning ...

Deep learning techniques can enhance diagnosis of Meniere disease (MD) and severity grading, according to a study published ...

A combination of two supplements — resveratrol and copper — reduced the aggressiveness of glioblastoma brain tumors in a small new study. Glioblastoma is among the most deadly and treatment-resistant ...

Brain tumors can form within the brain and may damage nearby tissues such as the pineal gland, pituitary gland, and surrounding nerves. Tumors that begin in the brain are called primary tumors, while ...

Melanoma remains one of the hardest skin cancers to diagnose because it often mimics harmless moles or lesions. While most artificial intelligence (AI) tools rely on dermoscopic images alone, they ...

1 Information Statistics Center, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China 2 School of Computer Science and Technology, Hubei Business ...

Aim: This study aims to develop a robust and lightweight deep learning model for early brain tumor detection using magnetic resonance imaging (MRI), particularly under constraints of limited data ...

Abstract: This study examines the effectiveness of deep learning approaches in detecting brain tumors. Early diagnosis of brain tumors is critical for improving patients’ quality of life and ...