Improving lung cancer detection using faster <scp>region‐based</scp> convolutional neural network aided with fuzzy butterfly optimization algorithm-Reference-Cited by-同舟云学术

Improving lung cancer detection using faster region‐based convolutional neural network aided with fuzzy butterfly optimization algorithm

Published:2022-10-04 Issue:27 Volume:34 Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency and Computation

Author:

Sinthia P.¹^ORCID,Malathi M.²^ORCID,K. Anitha³^ORCID,Suresh Anand M.⁴^ORCID

Affiliation:

1. Department of Biomedical Engineering Saveetha Engineering College Chennai India

2. Department of Electronics and Communication Engineering Rajalakshmi Institute of Technology Chembarambakkam India

3. Department of Computing Technologies, School of Computing, College of Engineering and Technology SRM Institute of Science and Technology Chennai India

4. Department of Computing Technologies, School of Computing SRM Institute of Science and Technology (SRMIST) Chennai India

Publisher

Wiley

Subject

Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.7251

Reference37 articles.

Cancer Cachexia: Definition, Staging, and Emerging Treatments

2. Global epidemiology of lung cancer;Barta JA;Ann Glob Health,2019

3. The epidemiology of lung cancer

4. Current WHO guidelines and the critical role of immunohistochemical markers in the subclassification of non-small cell lung carcinoma (NSCLC): Moving from targeted therapy to immunotherapy

5. Biomarkers for immune checkpoint inhibition in non–small cell lung cancer (NSCLC)

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Detection and Classification of Periapical Dental X-Ray Images Using Machine Learning;Lecture Notes in Networks and Systems;2024

2. An Approach on Stage Classification of Lung Cancer Using Fuzzy Inference System;Lecture Notes in Networks and Systems;2024