What this AI epitope library means for vaccines, immunotherapy and biosensors

A new tool makes it possible to screen millions of tiny protein fragments and select those that can be recognized by the ...
IEEE

Distributed Unsupervised Representation Learning for Remote Sensing Image Classification

Abstract: With the development of in-orbit satellite hardware technology, distributed model training and updating for in-orbit satellites has become a promising trend. However, performance ...
The Lancet

Deep learning on histopathological images to predict breast cancer recurrence risk and chemotherapy benefit: a multicentre, model development and validation study

aTaub Faculty of Computer Science, Technion-Israel Institute of Technology, Haifa, Israel bFaculty of Electrical and Computer Engineering, Technion-Israel Institute of Technology, Haifa, Israel ...
Scientific Research Publishing

A Lightweight MobileViT with a Dual-Path Attention Mechanism for MRI Image Classification ()

Deep learning has been successfully applied in the field of medical diagnosis, and improving the accurate classification of ...
IEEE

MSIA: A Multi-Scale Interactive Attention Network Assisted by Self-Supervised Contrastive Learning for Hyperspectral Image Classification

Abstract: Hyperspectral image classification is a crucial research area in hyperspectral remote sensing, aiming to identify the land cover type of each pixel in remote sensing images using computer ...
GitHub

jsurrea/Machine-Learning-Techniques

Machine Learning Techniques Course materials from Machine Learning Techniques (ISIS4219/MISIS4219) at Universidad de los Andes. Includes labs, workshops, and advanced projects with Python ...
GitHub

Learn PyTorch for Deep Learning

Welcome to the Zero to Mastery Learn PyTorch for Deep Learning course, the second best place to learn PyTorch on the internet (the first being the PyTorch documentation). 00 - PyTorch Fundamentals ...