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Call for Papers:Vol.11 Issue.3

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Title: :  LUNG DISEASES FOR PNEUMONIA AND COVID-19 USING MACHINE AND DEEP LEARNING TECHNIQUES
PaperId: :  23729
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 10 Issue 3 2024
DUI:    16.0415/IJARIIE-23729
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Prof. Kishor UgaleMET’s Institute of Engineering
Bhushan Sandeep WaghmareMET’s Institute of Engineering
Kunal Ganesh BhavsarMET’s Institute of Engineering
Om Somnath ShindeMET’s Institute of Engineering

Abstract

Electrical Engineering
Lung Disease, Machine Learning, Deep Learning, Image Processing
Lung Disease is common throughout the world. These include chronic obstructive pulmonary disease, pneumonia, asthma, tuberculosis, fibrosis, etc. Timely diagnosis of lung disease is essential. Many image processing and machine learning models have been developed for this purpose. The recent development of imaging and sequencing technologies enables systematic advances in the clinical study of lung cancer. Machine learning-based approaches play a critical role in integrating and analyzing these large and complex datasets, which have extensively characterized lung cancer through the use of different perspectives from these accrued data. Machine learning techniques, ranging from traditional algorithms to sophisticated deep learning models, have proven valuable in the analysis of medical images for lung disease detection. The emergence of CNNs, designed to excel in image analysis tasks, has particularly transformed this field, enabling automated detection and classification with unprecedented accuracy. These technologies not only offer the ability to expedite diagnosis but also to reduce the workload on healthcare professionals. The benefits of utilizing machines and deep learning techniques extend beyond accuracy and speed; they hold the potential to create scalable and robust solutions applicable in diverse healthcare settings, including resource-limited environments. This abstract provides a foundation for a comprehensive exploration of these methods, encompassing their methodologies, challenges, and prospects, as they play a pivotal role in the fight against respiratory diseases, ultimately contributing to more efficient and effective healthcare systems

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IJARIIE Prof. Kishor Ugale, Bhushan Sandeep Waghmare, Kunal Ganesh Bhavsar, and Om Somnath Shinde. "LUNG DISEASES FOR PNEUMONIA AND COVID-19 USING MACHINE AND DEEP LEARNING TECHNIQUES" International Journal Of Advance Research And Innovative Ideas In Education Volume 10 Issue 3 2024 Page 857-863
MLA Prof. Kishor Ugale, Bhushan Sandeep Waghmare, Kunal Ganesh Bhavsar, and Om Somnath Shinde. "LUNG DISEASES FOR PNEUMONIA AND COVID-19 USING MACHINE AND DEEP LEARNING TECHNIQUES." International Journal Of Advance Research And Innovative Ideas In Education 10.3(2024) : 857-863.
APA Prof. Kishor Ugale, Bhushan Sandeep Waghmare, Kunal Ganesh Bhavsar, & Om Somnath Shinde. (2024). LUNG DISEASES FOR PNEUMONIA AND COVID-19 USING MACHINE AND DEEP LEARNING TECHNIQUES. International Journal Of Advance Research And Innovative Ideas In Education, 10(3), 857-863.
Chicago Prof. Kishor Ugale, Bhushan Sandeep Waghmare, Kunal Ganesh Bhavsar, and Om Somnath Shinde. "LUNG DISEASES FOR PNEUMONIA AND COVID-19 USING MACHINE AND DEEP LEARNING TECHNIQUES." International Journal Of Advance Research And Innovative Ideas In Education 10, no. 3 (2024) : 857-863.
Oxford Prof. Kishor Ugale, Bhushan Sandeep Waghmare, Kunal Ganesh Bhavsar, and Om Somnath Shinde. 'LUNG DISEASES FOR PNEUMONIA AND COVID-19 USING MACHINE AND DEEP LEARNING TECHNIQUES', International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 3, 2024, p. 857-863. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/LUNG_DISEASES_FOR_PNEUMONIA_AND_COVID_19_USING_MACHINE_AND_DEEP_LEARNING_TECHNIQUES_ijariie23729.pdf (Accessed : 12 November 2024).
Harvard Prof. Kishor Ugale, Bhushan Sandeep Waghmare, Kunal Ganesh Bhavsar, and Om Somnath Shinde. (2024) 'LUNG DISEASES FOR PNEUMONIA AND COVID-19 USING MACHINE AND DEEP LEARNING TECHNIQUES', International Journal Of Advance Research And Innovative Ideas In Education, 10(3), pp. 857-863IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/LUNG_DISEASES_FOR_PNEUMONIA_AND_COVID_19_USING_MACHINE_AND_DEEP_LEARNING_TECHNIQUES_ijariie23729.pdf (Accessed : 12 November 2024)
IEEE Prof. Kishor Ugale, Bhushan Sandeep Waghmare, Kunal Ganesh Bhavsar, and Om Somnath Shinde, "LUNG DISEASES FOR PNEUMONIA AND COVID-19 USING MACHINE AND DEEP LEARNING TECHNIQUES," International Journal Of Advance Research And Innovative Ideas In Education, vol. 10, no. 3, pp. 857-863, May-Jun 2024. [Online]. Available: https://ijariie.com/AdminUploadPdf/LUNG_DISEASES_FOR_PNEUMONIA_AND_COVID_19_USING_MACHINE_AND_DEEP_LEARNING_TECHNIQUES_ijariie23729.pdf [Accessed : 12 November 2024].
Turabian Prof. Kishor Ugale, Bhushan Sandeep Waghmare, Kunal Ganesh Bhavsar, and Om Somnath Shinde. "LUNG DISEASES FOR PNEUMONIA AND COVID-19 USING MACHINE AND DEEP LEARNING TECHNIQUES." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 10 number 3 (12 November 2024).
Vancouver Prof. Kishor Ugale, Bhushan Sandeep Waghmare, Kunal Ganesh Bhavsar, and Om Somnath Shinde. LUNG DISEASES FOR PNEUMONIA AND COVID-19 USING MACHINE AND DEEP LEARNING TECHNIQUES. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2024 [Cited : 12 November 2024]; 10(3) : 857-863. Available from: https://ijariie.com/AdminUploadPdf/LUNG_DISEASES_FOR_PNEUMONIA_AND_COVID_19_USING_MACHINE_AND_DEEP_LEARNING_TECHNIQUES_ijariie23729.pdf
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