Influence of Adam Optimizer with Sequential Convolutional Model for Detection of Tuberculosis-Reference-Cited by-同舟云学术

Influence of Adam Optimizer with Sequential Convolutional Model for Detection of Tuberculosis

Published:2022-12 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Computational Modelling, Simulation and Optimization (ICCMSO)
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Author:

Gill Kanwarpartap Singh¹,Sharma Avinash²,Anand Vatsala¹,Gupta Rupesh¹,Deshmukh Pratibha³

Affiliation:

1. Chitkara University Institute of Engineering and Technology Chitkara University,Punjab,India

2. MM Engineering College, Maharishi Markandeshwar (Deemed to be University),Department of Computer Science and Engineering,Mullana-Ambala,Haryana,India,133207

3. Bharati Vidyapeeth's Institute of Management and Information Technology,Navi Mumbai,Maharashtra,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10097038/10097039/10097390.pdf?arnumber=10097390

Reference20 articles.

1. Accurate and rapid prediction of tuberculosis drug resistance from genome sequence data using traditional machine learning algorithms and CNN

2. An optimized fuzzy ensemble of convolutional neural networks for detecting tuberculosis from Chest X-ray images

3. An automated deep learning models for classification of skin disease using Dermoscopy images: a comprehensive study

4. Greedy Autoaugment for classification of mycobacterium tuberculosis image via generalized deep CNN using mixed pooling based on minimum square rough entropy

5. Convolutional Neural Network Architectures to Solve a Problem of Tuberculosis Classification Using X-Ray Images of the Lungs

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