Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Pankaj Nanglia"'
Publikováno v:
ECS Sensors Plus, Vol 3, Iss 1, p 011401 (2024)
Biometric sensing technology has become a frequent element of everyday life as a result of the global demand for information security and safety legislation. In recent years, multimodal biometrics technology has become increasingly popular due to its
Externí odkaz:
https://doaj.org/article/05f7117b99444fe4bc1c057e7dbd6b4e
Publikováno v:
ICT Express, Vol 7, Iss 3, Pp 335-341 (2021)
The present research article focused on the factual findings of the potential usage of the combinational Feed-Forward Back Propagation Neural Network as a judgment making for lung cancer. In this context, Support Vector Machine is integrated with Fee
Externí odkaz:
https://doaj.org/article/d2ace7919f814f6d9aea463ffc2fefd0
Publikováno v:
ICT Express, Vol 7, Iss 3, Pp 335-341 (2021)
The present research article focused on the factual findings of the potential usage of the combinational Feed-Forward Back Propagation Neural Network as a judgment making for lung cancer. In this context, Support Vector Machine is integrated with Fee
The Future of Computing: Ubiquitous Applications and Technologies explores the transformative power of ubiquitous computing across diverse fields, from healthcare and smart grids to home automation and digital forensics. Ubiquitous computing, which s
Publikováno v:
Smart Computational Strategies: Theoretical and Practical Aspects ISBN: 9789811362941
Lung cancer is the most prevailing form of cancer and claims more lives each year in comparison of colon, prostate, and breast cancers combined. The prominent types of lung cancers are explained here along with their database details. In this work, t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::32ed810dd10d5ac507cf37f7d100dd25
https://doi.org/10.1007/978-981-13-6295-8_2
https://doi.org/10.1007/978-981-13-6295-8_2
Publikováno v:
Communications in Computer and Information Science ISBN: 9789811331398
The present work demonstrates the utilization of computer-aided diagnosis system for the detection of lung cancer diseases using computer tomography (CT) images, magnetic resonance images (MRI) and X-ray images. The feature extraction process in lung
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4d0c16edcf80cda1201bb665ca70824e
https://doi.org/10.1007/978-981-13-3140-4_27
https://doi.org/10.1007/978-981-13-3140-4_27
Publikováno v:
International Journal of Medical Engineering and Informatics. 12:447
Manual computation of lung cancer is a time taking process. In the medical industry, software aided detection (SAD) aims to optimise the classification process. This paper proposes lung cancer detection for computed tomography (CT) images. It uses sp