CJT-DEO: Condorcet’s Jury Theorem and Differential Evolution Optimization based ensemble of deep neural networks for pulmonary and Colorectal cancer classification-Reference-Cited by-同舟云学术

CJT-DEO: Condorcet’s Jury Theorem and Differential Evolution Optimization based ensemble of deep neural networks for pulmonary and Colorectal cancer classification

Published:2023-01 Issue: Volume:132 Page:109872
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Srivastava Gaurav,Chauhan Aninditaa,Pradhan Nitesh

Publisher

Elsevier BV

Subject

Software

Reference66 articles.

1. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries;Sung;CA: Cancer J. Clin.,2021

2. W.H. Organization, Cancer, 0000. https://www.who.int/news-room/fact-sheets/detail/cancer.

3. W.H. Organization, Cancer Today, https://gco.iarc.fr/today/.

4. Lung cancer: Prevalent trends & emerging concepts;Malik;Indian J. Med. Res.,2015

5. Epidemiology of colorectal cancer: incidence, mortality, survival, and risk factors;Rawla;Prz. Gastroenterol.,2019

Cited by 11 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. Comparative analysis of machine learning and deep learning models for improved cancer detection: A comprehensive review of recent advancements in diagnostic techniques;Expert Systems with Applications;2024-12

2. Tumor classification algorithm via parallel collaborative optimization of single- and multi-objective consistency on PET/CT;Applied Soft Computing;2024-11

3. A depth analysis of recent innovations in non-invasive techniques using artificial intelligence approach for cancer prediction;Medical & Biological Engineering & Computing;2024-07-16

4. Denoising of poisson-corrupted microscopic biopsy images using fourth-order partial differential equation with ant colony optimization;Biomedical Signal Processing and Control;2024-07

5. An effective multiclass skin cancer classification approach based on deep convolutional neural network;Cluster Computing;2024-06-17