Výsledky vyhledávání - "deep convolutional autoencoder (ConvAE)"

Impartially Validated Multiple Deep-Chain Models to Detect COVID-19 in Chest X-ray Using Latent Space Radiomics

Autoři: Bardia Yousefi Satoru Kawakita Arya Amini a další

Zdroj: Journal of Clinical Medicine, Vol 10, Iss 3100, p 3100 (2021)

Témata: COVID-19 detection, deep convolutional autoencoder (ConvAE), 2D U-Net model, imaging biomarker, deep-learning features, deep latent space radiomics, Medicine

Relation: https://www.mdpi.com/2077-0383/10/14/3100; https://doaj.org/toc/2077-0383; https://doaj.org/article/ed58cfeb1ab04dc9821d3e46241ab42e

Dostupnost: https://doi.org/10.3390/jcm10143100
https://doaj.org/article/ed58cfeb1ab04dc9821d3e46241ab42e

Impartially Validated Multiple Deep-Chain Models to Detect COVID-19 in Chest X-ray Using Latent Space Radiomics.

Autoři: Yousefi, Bardia Kawakita, Satoru Amini, Arya a další

Zdroj: Journal of Clinical Medicine; Jul2021, Vol. 10 Issue 14, p3100-3100, 1p

Témata: RADIOMICS, COVID-19, COMPUTER-aided diagnosis, COVID-19 pandemic, PRINCIPAL components analysis

Cognitive Robotics

Autoři: Angelo Cangelosi Minoru Asada

Resource Type: eBook.

Témata: Autonomous robots

Categories: TECHNOLOGY & ENGINEERING / Robotics, COMPUTERS / Machine Theory, COMPUTERS / Data Science / Machine Learning