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 ...

Paxalisib showed a 3.8-month improvement in overall survival for GBM patients, with the FDA considering standard approval based on phase 2/3 trial data. BA-101 received orphan drug designation, ...

Abstract: Brain tumors are abnormal growths in the brain that affect cognitive functions. Effective treatment planning and better patient outcomes depend on the timely diagnosis and precise ...

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 ...

Brain tumor segmentation is a vital step in diagnosis, treatment planning, and prognosis in neuro-oncology. In recent years, deep learning approaches have revolutionized this field, evolving from the ...