Deep features selection through genetic algorithm for cervical pre-cancerous cell classification-Reference-Cited by-同舟云学术

Deep features selection through genetic algorithm for cervical pre-cancerous cell classification

Published:2022-09-22 Issue:9 Volume:82 Page:13431-13452
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Kundu Rohit^ORCID,Chattopadhyay Soham^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

https://link.springer.com/content/pdf/10.1007/s11042-022-13736-9.pdf

Reference43 articles.

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2. Alyafeai Z, Ghouti L (2020) A fully-automated deep learning pipeline for cervical cancer classification. Expert Syst Appl 141:112951

3. Basak H, Kundu R (2020) Comparative study of maturation profiles of neural cells in different species with the help of computer vision and deep learning. In: International symposium on signal processing and intelligent recognition systems. Springer, pp 352–366

4. Basak H, Kundu R, Agarwal A, Giri S (2020) Single image super-resolution using residual channel attention network. In: 2020 IEEE 15th International conference on industrial and information systems (ICIIS). IEEE, pp 219–224

5. Chattopadhyay S, Basak H (2020) Multi-scale attention u-net (msaunet): a modified u-net architecture for scene segmentation. arXiv:200906911

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