Special Issue “Advances in Machine and Deep Learning in the Health Domain”-Reference-Cited by-同舟云学术

Special Issue “Advances in Machine and Deep Learning in the Health Domain”

Published:2023-07-04 Issue:7 Volume:12 Page:135
ISSN:2073-431X
Container-title:Computers
language:en
Short-container-title:Computers

Author:

Celesti Antonio¹^ORCID,De Falco Ivanoe²^ORCID,Galletta Antonino¹^ORCID,Sannino Giovanna²^ORCID

Affiliation:

1. Department of Mathematics and Computer Sciences, Physical Sciences and Earth Sciences (MIFT), University of Messina, 98166 Messina, Italy

2. Institute for High-Performance Computing and Networking (ICAR), National Research Council of Italy (CNR), 80131 Naples, Italy

Abstract

Machine and deep learning techniques are fuelling a revolution in the health domain and are attracting the interest of many cross-disciplinary research groups all over the world [...]

Publisher

MDPI AG

Subject

Computer Networks and Communications,Human-Computer Interaction

Link

https://www.mdpi.com/2073-431X/12/7/135/pdf

Reference17 articles.

1. Nadimi-Shahraki, M.H., Banaie-Dezfouli, M., Zamani, H., Taghian, S., and Mirjalili, S. (2021). B-MFO: A binary moth-flame optimization for feature selection from medical datasets. Computers, 10.

2. Arora, A., Jayal, A., Gupta, M., Mittal, P., and Satapathy, S.C. (2021). Brain tumor segmentation of mri images using processed image driven u-net architecture. Computers, 10.

3. Nayak, D.R., Padhy, N., Mallick, P.K., Bagal, D.K., and Kumar, S. (2022). Brain tumour classification using noble deep learning approach with parametric optimization through metaheuristics approaches. Computers, 11.

4. Silva, A., Metrôlho, J., Ribeiro, F., Fidalgo, F., Santos, O., and Dionisio, R. (2022). A review of intelligent sensor-based systems for pressure ulcer prevention. Computers, 11.

5. Luna-Benoso, B., Martínez-Perales, J.C., Cortés-Galicia, J., Flores-Carapia, R., and Silva-García, V.M. (2022). Melanoma detection in dermoscopic images using a cellular automata classifier. Computers, 11.