The Lancet

Deep learning for H&E-based meningioma molecular classification and outcome prediction: a retrospective cohort study

To our knowledge, this study is the first to apply deep learning models that can, beyond diagnosis, identify molecular subtypes and predict outcomes in a single brain tumour entity (meningioma) using ...
IEEE

An Efficient FPGA Implementation of Spiking Neural Networks for N-MNIST Classification

Spiking Neural Networks (SNNs) have emerged as a promising alternative to conventional Artificial Neural Networks (ANNs) due to their event-driven computation and potential for low-power processing.

Can AI beat breast cancer?

An artificial intelligence (AI) system that combines breast cancer tissue images with molecular marker data achieves high ...
IEEE

MSF-CNN: Multi-Scale Fusion Convolutional Neural Network for Tactile Acceleration Signal Classification

Abstract: In recent years, with the rapid advancement of intelligent sensors and edge computing technology, material surface recognition based on tactile acceleration signals has become a hot topic in ...