Listar por tema "Abnormality detection"

Mostrando ítems 1-2 de 2

ASML: Algorithm-Agnostic Architecture for Scalable Machine Learning

Diamantis D.E., Iakovidis D.K. (2021)

Machine Learning (ML) applications are growing in an unprecedented scale. The development of easy-to-use machine-learning application frameworks has enabled the development of advanced artificial intelligence (AI) applications ...
Look-behind fully convolutional neural network for computer-aided endoscopy

Diamantis D.E., Iakovidis D.K., Koulaouzidis A. (2019)

In this paper, we propose a novel Fully Convolutional Neural Network (FCN) architecture aiming to aid the detection of abnormalities, such as polyps, ulcers and blood, in gastrointestinal (GI) endoscopy images. The proposed ...