Breaking tunnel vision, imaging AI lifts fluorescence image restoration accuracy and speed

Recent years have witnessed great advances in applying deep learning to improve fluorescence microscopy imaging. However, enhancing the fidelity of image restoration networks and improving their ...
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

A YOLO-Assisted Framework for Potato Leaf Disease Detection and Classification using CNN and Multi-Head Attention Mechanism

Abstract: Potato leaf diseases create a serious threat to the production of agriculture, leading to large yield losses and economic challenges. Accurate and timely detection has become crucial for ...
IEEE

MK-UNet: Multi-Kernel Lightweight CNN for Medical Image Segmentation

Abstract: In this paper, we introduce MK-UNet, a paradigm shift towards ultra-lightweight, multi-kernel U-shaped CNNs tailored for medical image segmentation. Central to MK-UNet is the multi-kernel ...