An early and affordable oral cancer diagnosis might be achieved by automating the detection of precancerous and malignant lesions in the mouth. There are many research attempts to develop a robust ...

Abstract: Breast cancer is a prevalent and life-threatening disease that requires effective detection and diagnosis methods to improve patient outcomes. Deep learning (DL ... of DL using a pre-trained ...

National Key Laboratory of Advanced Micro and Nano Manufacture Technology, Shanghai Jiao Tong University, Shanghai 200240, China Department of Micro/Nano Electronics, School of Electronic Information ...

and End Results (SEER) database, a widely used database for modelling studies. Varied estimates of dwell time duration were used to model the heterogeneity of cancer and to explore the potential ...

A research team from Kumamoto University has developed a promising deep learning ... an innovative AI model that can identify and neutralize the influence of these extra nodes. ENDNet introduces three ...

Unlike conventional antibodies that only engage surface proteins, PRL3-zumab identifies cancer cells by targeting PRL3 when it transiently appears on the cell surface, flagging them for the immune ...

aArtificial Intelligence in Medicine Program, Mass General Brigham, Harvard Medical School, Boston, MA, USA bDepartment of Radiation Oncology, Brigham and Women’s Hospital, Dana-Farber Cancer ...

Skin cancer is among the most common cancers worldwide. Early and accurate classification of skin lesions is crucial for timely treatment. This project explores the effectiveness of ensemble deep ...

CAS Key Laboratory for Nano-Bio Interface, Suzhou Institute of Nano-Tech and Nano-Bionics, Chinese Academy of Sciences, Suzhou 215123, China School of Nano-Tech and Nano-Bionics, University of Science ...