Plug-and-play AI recognizes 18 cancer types from just a handful of slides

A research team led by The Hong Kong University of Science and Technology (HKUST) has developed a pioneering artificial ...
IEEE

RF-BreastNet: An Augmented Hierarchical Feature Extraction Framework for Breast Tumor Detection, Localization, and Size Classification from RF Microwave Signals

Abstract: Radio Frequency (RF) microwave imaging is emerging as a modality for breast tumor diagnosis due to its non-invasive, non-ionizing, cost-effective, and wearable nature. Deep learning has ...
IEEE

A Systematic Review of Deep Learning Approaches for Brain Tumor Identification with Emphasis on MRI Artifact Removal Techniques

Abstract: Brain tumor detection using Magnetic Resonance Imaging (MRI) has advanced significantly with the development of deep learning techniques. However, imaging artifacts and noise often degrade ...