CNN Architecture for Lung Cancer Detection-Reference-Cited by-同舟云学术

CNN Architecture for Lung Cancer Detection

Published:2022-04-23 Issue: Volume: Page:
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Container-title:2022 IEEE 11th International Conference on Communication Systems and Network Technologies (CSNT)
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Author:

Tejaswini Chintakayala¹,Nagabushanam P¹,Rajasegaran Priyadharshini¹,Johnson Palyam Rohith¹,Radha S²

Affiliation:

1. Karunya Institute of Technology and Sciences, CBE, IN,Department of EEE

2. Karunya Institute of Technology and Sciences, CBE, IN,Department of ECE

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9787399/9787559/09787650.pdf?arnumber=9787650

Reference27 articles.

1. Deep Learning Assisted Predict of Lung Cancer on Computed Tomography Images Using the Adaptive Hierarchical Heuristic Mathematical Model

2. Deep Learning for Classification and Localization of COVID-19 Markers in Point-of-Care Lung Ultrasound

3. Deep learning methods for lung cancer segmentation in whole-slide histopathology images-the acdc@ lunghp challenge 2019;li;IEEE Journal of Biomedical and Health Informatics,2020

4. Lung cancer survival period prediction and understanding: Deep learning approaches

5. Deep learning applications in pulmonary medical imaging: recent updates and insights on COVID-19

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