LCDctCNN: Lung Cancer Diagnosis of CT scan Images Using CNN Based Model-Reference-Cited by-同舟云学术

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LCDctCNN: Lung Cancer Diagnosis of CT scan Images Using CNN Based Model

Published:2023-03-23 Issue: Volume: Page:
ISSN:
Container-title:2023 10th International Conference on Signal Processing and Integrated Networks (SPIN)
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Author:

Mamun Muntasir¹,Mahmud Md Ishtyaq²,Meherin Mahabuba³,Abdelgawad Ahmed²

Affiliation:

1. University of South Dakota,Department of Computer Science,South Dakota,USA

2. Central Michigan University,College of Science & Engineering,Mount Pleasant,USA,MI 48858

3. American International University- Bangladesh,Department of Computer Science & Engineering,Dhaka,Bangladesh

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10115458/10115464/10116075.pdf?arnumber=10116075

Reference25 articles.

1. Fusing texture, shape and deep model-learned information at decision level for automated classification of lung nodules on chest CT

2. Deep CNN-Based Method for Segmenting Lung Fields in Digital Chest Radiographs

3. Deep Belief Network for Lung Nodules Diagnosed in CT Imaging

4. Pulmonary nodule classification with deep residual networks

5. A Generalized Deep Learning-Based Diagnostic System for Early Diagnosis of Various Types of Pulmonary Nodules

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2. Usage of Machine Learning and Deep Learning for Lung Cancer Detection;Advances in Medical Technologies and Clinical Practice;2024-07-19

3. Carcinikos - Presentiment of Cancer in Males using Multimodal Techniques;2024 IEEE 9th International Conference for Convergence in Technology (I2CT);2024-04-05

4. Improving YOLOv6 using advanced PSO optimizer for weight selection in lung cancer detection and classification;Multimedia Tools and Applications;2024-02-24

5. Revolutionizing Lung Cancer Diagnosis: A Comprehensive Review of Image Processing Techniques for Early Detection and Precision Medicine;Journal of Innovative Image Processing;2023-12

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