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 ...
IEEE

Cross-Domain Incremental Image Classification via Domain-Specific Prototypes and Contrastive Learning

Abstract: Remote sensing models in incremental learning (IL) scenarios often need to contend with both the newly emerged classes and cross-domain feature shifts, a combined challenge that we name it ...
Frontiers

Editorial: Application of deep learning in biomedical image processing

In the era of data-driven medicine, biomedical imaging has evolved from a purely diagnostic tool to a cornerstone of precision healthcare. The confluence of deep learning (DL) and biomedical image ...
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 ...