IEEE

Image Denoising Using Deep Learning: A Data-Driven Approach to Noise Reduction

Abstract: Image denoising involves deep learning at some level since it ties into vision and image processing. The focus here is sharpening images or enhancing their quality to optimize subsequent ...
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 ...
GitHub

ICON: Learning Regular Maps through Inverse Consistency

ICON: Learning Regular Maps through Inverse Consistency. Hastings Greer, Roland Kwitt, Francois-Xavier Vialard, Marc Niethammer. @InProceedings{Greer_2021_ICCV, author = {Greer, Hastings and Kwitt, ...
The Washington Post

Iran images appear to show land mines scattered by U.S. forces, a first in years

Images posted to social media Thursday show what experts said are U.S. land mines dispersed across a residential area in southern Iran, in what appears to be the first instance in more than two ...
IEEE

Bayesian Unsupervised Disentanglement of Anatomy and Geometry for Deep Groupwise Image Registration

Abstract: This article presents a general Bayesian learning framework for multi-modal groupwise image registration. The method builds on probabilistic modelling of the image generative process, where ...
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 ...