Design of an efficient multimodal engine for preemption and post-treatment recommendations for skin diseases via a deep learning-based hybrid bioinspired process-Reference-Cited by-同舟云学术

Design of an efficient multimodal engine for preemption and post-treatment recommendations for skin diseases via a deep learning-based hybrid bioinspired process

Published:2023-06-15 Issue: Volume: Page:
ISSN:1432-7643
Container-title:Soft Computing
language:en
Short-container-title:Soft Comput

Author:

Shivadekar Samit^ORCID,Kataria Bhavesh^ORCID,Limkar Suresh^ORCID,S.Wagh Kishor^ORCID,Lavate Santosh^ORCID,Mulla Rais Allauddin^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Link

https://link.springer.com/content/pdf/10.1007/s00500-023-08709-5.pdf

Reference48 articles.

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3. Arabnia HR, Ghani RABA, and Chen YCH (2018) A study of skin disease detection with deep learning and lifestyle factors. In: 2018 IEEE 17th International conference on cognitive informatics & cognitive computing (ICCI*CC), pp 143–148

4. Back S et al (2021) Robust skin disease classification by distilling deep neural network ensemble for the mobile diagnosis of herpes zoster. IEEE Access 9:20156–20169. https://doi.org/10.1109/ACCESS.2021.3054403

5. Balani N, Chavan P, Ghonghe M (2022) Design of high-speed blockchain-based sidechaining peer to peer communication protocol over 5G networks. Multimed Tools Appl 81(25):36699–36713. https://doi.org/10.1007/s11042-021-11604-6

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