Lung cancer detection and classification using deep neural network based on hybrid metaheuristic algorithm-Reference-Cited by-同舟云学术

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Lung cancer detection and classification using deep neural network based on hybrid metaheuristic algorithm

Published:2023-07-07 Issue: Volume: Page:
ISSN:1432-7643
Container-title:Soft Computing
language:en
Short-container-title:Soft Comput

Author:

Prasad Umesh,Chakravarty Soumitro,Mahto Gyaneshwar

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Link

https://link.springer.com/content/pdf/10.1007/s00500-023-08845-y.pdf

Reference44 articles.

1. Ali I, Muzammil M, Haq IU, Khaliq AA, Abdullah S (2020) Efficient lung nodule classification using transferable texture convolutional neural network. IEEE Access 8:175859–175870

2. Asuntha A, Srinivasan A (2020) Deep learning for lung cancer detection and classification. Multimed Tools Appl 79(11):7731–7762

3. Baghdadi NA, Malki A, Abdelaliem SF, Balaha HM, Badawy M, Elhosseini M (2022) An automated diagnosis and classification of COVID-19 from chest CT images using a transfer learning-based convolutional neural network. Comput Biol Med 144:105383

4. Balaha HM, El-Gendy EM, Saafan MM (2021) CovH2SD: a COVID-19 detection approach based on Harris Hawks Optimization and stacked deep learning. Expert Syst Appl 186:115805

5. Bhosale YH, Patnaik KS (2022) Graph and capsule convolutional neural network based classification of lung cancer, pneumonia, COVID-19 using lung CT and ultrasound radiography imaging. In: 2022 8th international conference on signal processing and communication (ICSC) (pp 381–387). IEEE

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