Transforming Lung Carcinoma Analysis: Deep Learning‘s Efficient Segmentation and Classification-Reference-Cited by-同舟云学术

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Transforming Lung Carcinoma Analysis: Deep Learning‘s Efficient Segmentation and Classification

Published:2023-12-14 Issue: Volume: Page:1-8
ISSN:
Container-title:2023 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES)
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Author:

Divya D.¹,Saveetha D.²,Bharathi V.C.³,Shanmugam P.⁴

Affiliation:

1. Jerusalem College of Engineering,Department of Computer Science and Engineering,Chennai,India

2. SRM Institute of Science and Technology,Department of Networking and Communications,Chennai,India

3. VIT-AP University,School of Computer Science and Engineering,Amaravati,Andhra Pradesh,India

4. Rajalakshmi Engineering College,Department of Computer Science and Engineering,Chennai,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10464384/10465267/10465333.pdf?arnumber=10465333

Reference16 articles.

1. Lung cancer detection from CT image using improved profuse clustering and deep learning instantaneously trained neural networks

2. Enhanced U-Net-based segmentation and heuristically improved deep neural network for pulmonary emphysema diagnosis

3. Deep-learning framework to detect lung abnormality – A study with chest X-Ray and lung CT scan images

4. Explicit and implicit oriented Aspect-Based Sentiment Analysis with optimal feature selection and deep learning for demonetization in India

5. A deep separable neural network for human tissue identification in three-dimensional optical coherence tomography images

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