The system is structured around a client-server architecture designed to provide scalability, remote accessibility, and ...

Machine learning using real-time symptom reports can accurately detect lymphedema, a distressing side effect of breast cancer treatment that is more easily treated when identified early, finds a ...

Study: Automatic Skin Cancer Detection Using Clinical Images: A Comprehensive Review.Image Credit: PopTika/Shutterstock.com. Background . Over recent decades, the incidence of skin cancer has ...

Skin cancer's increasing incidence rates necessitate advanced diagnostic tools. This research uses MobileNet architecture to develop an enhanced system for skin cancer detection. MobileNet's efficient ...

Using AI, she created earlier methods for breast cancer detection and risk assessment that underwent testing at hospitals around the world: in Sweden, Taiwan, and Boston’s Massachusetts General ...

Brain tumors, necessitating early detection for effective treatment, are classified into four groups using MRI imaging: no tumor, meningioma, pituitary, and glioma. This research develops two models ...

More information: Mei R. Fu et al, Machine learning for detection of lymphedema among breast cancer survivors, mHealth (2018). DOI: 10.21037/mhealth.2018.04.02 Provided by New York University ...