Classification of Lung Cancer Using Hybrid Convolutional Neural Network Based Bidirectional Long Short-Term Memory-Reference-Cited by-同舟云学术

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Classification of Lung Cancer Using Hybrid Convolutional Neural Network Based Bidirectional Long Short-Term Memory

Published:2023-11-02 Issue: Volume:4 Page:1-6
ISSN:
Container-title:2023 International Conference on Ambient Intelligence, Knowledge Informatics and Industrial Electronics (AIKIIE)
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Author:

Selvi C.¹,Malini Dommeti Hema²,Almoussawi Zainab Abed³,Yamsani Nagendar⁴,Adnan Myasar Mundher⁵

Affiliation:

1. Muthayammal Engineering College (Autonomous),Department Of ECE,Rasipuram,India

2. Malla Reddy Engineering College for women (Autonomous),Hyderabad,India

3. College of Islamic Science, Ahl Al Bayt University,Karbala,Iraq

4. School of Computer Science and Artificial Intelligence, SR University,Warangal,India

5. The Islamic University,Najaf,Iraq

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10389814/10389816/10390122.pdf?arnumber=10390122

Reference15 articles.

1. Deep Learning Methods for Lung Cancer Segmentation in Whole-Slide Histopathology Images—The ACDC@LungHP Challenge 2019

2. Segmentation of lung cancer-caused metastatic lesions in bone scan images using self-defined model with deep supervision

3. Lung nodules detection using semantic segmentation and classification with optimal features

4. Lung cancer histology classification from CT images based on radiomics and deep learning models

5. LNCDS: A 2D-3D cascaded CNN approach for lung nodule classification, detection and segmentation

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