Detection and Classification of Lung Cancer Using VGG-16-Reference-Cited by-同舟云学术

Detection and Classification of Lung Cancer Using VGG-16

Published:2022-04-22 Issue: Volume: Page:
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Container-title:2022 International Conference on Electronic Systems and Intelligent Computing (ICESIC)
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Author:

Ramanjaneyulu K.¹^ORCID,Kumar K. Hemanth¹,Snehith K.²,Jyothirmai G.¹,Krishna K. Venkata¹

Affiliation:

1. P.V.P Siddhartha Institute of Technology,Department of Electronics and Communication Engineering,Vijayawada,India

2. Velagapudi Ramakrishna Siddhartha Engineering College,Vijayawada,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9783220/9783472/09783556.pdf?arnumber=9783556

Reference15 articles.

1. Automated Lung Nodule Detection and Classification Using Deep Learning Combined with Multiple Strategies;Nasraullah Nasrullah Jun Sang Mohammad S Alam Muhammad Mateen Bin Cai and HaiboHu,0

2. Validation, comparison, and combination of algorithms for automatic detection of pulmonary nodules in computed tomography images: The LUNA16 challenge

3. DeepLung: Deep 3D Dual Path Nets for Automated Pulmonary Nodule Detection and Classification

4. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

5. An Automatic Detection System of Lung Nodule Based on Multigroup Patch-Based Deep Learning Network

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