AI cancer tools may rely on 'shortcut learning' rather than genuine biological signals

Artificial intelligence tools are increasingly being developed to predict cancer biology directly from microscope images, ...
News-Medical.Net

AI cancer tools may be using visual shortcuts rather than true biology

New research warns that popular deep learning systems trained for cancer pathology may be relying on hidden shortcuts rather than genuine biological signals.
IEEE

A Novel Deep Learning-Based Approach for Brain Tumor Segmentation and Classification Using Diffusion-Weighted Imaging and Magnetic Resonance Spectroscopy

Abstract: Brain tumours (BT) are a dangerous condition that gets a lot of attention. They can be fatal. However, for effective treatment and life-saving measures, early detection and tumour type and ...

Neurosurgeons are really good at removing brain tumors—they're about to get even better

When removing cancerous tissue in the brain, neurosurgeons often use "awake brain mapping" to minimize the risk of causing ...
IEEE

Early Lung Cancer Detection Using a Hybrid Model

Abstract: This paper addresses the global health concern of early detection for increased treatment effectiveness, this research proposes a novel automated technique for lung cancer detection that ...