Special Issue on Artificial Intelligence in Medical Imaging: The Beginning of a New Era-Reference-Cited by-同舟云学术

Special Issue on Artificial Intelligence in Medical Imaging: The Beginning of a New Era

Published:2023-10-23 Issue:20 Volume:13 Page:11562
ISSN:2076-3417
Container-title:Applied Sciences
language:en
Short-container-title:Applied Sciences

Author:

Nardi Cosimo¹^ORCID

Affiliation:

1. Department of Experimental and Clinical Biomedical Sciences “Mario Serio”, University of Florence, Viale Morgagni 50, 50134 Florence, Italy

Abstract

Artificial intelligence (AI) can be considered the real revolution of the 21st century [...]

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

Link

https://www.mdpi.com/2076-3417/13/20/11562/pdf

Reference19 articles.

1. Pietragalla, M., Bicci, E., Calistri, L., Lorini, C., Bonomo, P., Borghesi, A., Lo Casto, A., Mungai, F., Bonasera, L., and Maggiore, G. (2023). Magnetic Resonance with Diffusion and Dynamic Perfusion-Weighted Imaging in the Assessment of Early Chemoradiotherapy Response of Naso-Oropharyngeal Carcinoma. Appl. Sci., 13.

2. Gilberg, L., Teodorescu, B., Maerkisch, L., Baumgart, A., Ramaesh, R., Gomes Ataide, E.J., and Koç, A.M. (2023). Deep Learning Enhances Radiologists’ Detection of Potential Spinal Malignancies in CT Scans. Appl. Sci., 13.

3. Huynh, H.N., Tran, A.T., and Tran, T.N. (2023). Region-of-Interest Optimization for Deep-Learning-Based Breast Cancer Detection in Mammograms. Appl. Sci., 13.

4. Mukadam, S.B., and Patil, H.Y. (2023). Skin Cancer Classification Framework Using Enhanced Super Resolution Generative Adversarial Network and Custom Convolutional Neural Network. Appl. Sci., 13.

5. Hu, M., Nardi, C., Zhang, H., and Ang, K.-K. (2023). Applications of Deep Learning to Neurodevelopment in Pediatric Imaging: Achievements and Challenges. Appl. Sci., 13.

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