Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/596845
Title: Novel Approach For Chest Disease Detection Using Deep Learning Federated Learning Models
Researcher: Kakkar, Barkha
Guide(s): Johri, Prashant and Kumar, Yogesh
Keywords: Chest--Diseases
Computer Science
Computer Science Artificial Intelligence
Engineering and Technology
University: Galgotias University
Completed Date: 2023
Abstract: Healthcare industry serves as a major sector of economy of every country. It is a well-defined practice that started several years ago. As the time passed the improvement in healthcare sector has touched the new edges and of course technology has always played a very important role in it. Each and every phase of the healthcare development has different issue with them. When it comes to the prehistoric era, when medications were not yet created, healing with herbs and other natural resources was a lengthy process that may take years to complete. newline. Now-a-days with advancement of machines and technology although the time involved in treatment has decreased but the problem arises to store data and records of several patients, records, treatments and many more. newline newline
Pagination: Ix,127
URI: http://hdl.handle.net/10603/596845
Appears in Departments:School of Computing Science and Engineering

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02_prelim pages .pdf924.87 kBAdobe PDFView/Open
03_content.pdf423.31 kBAdobe PDFView/Open
04_abstract.pdf381.37 kBAdobe PDFView/Open
05_chapter 1.pdf1.06 MBAdobe PDFView/Open
06_chapter 2.pdf856.7 kBAdobe PDFView/Open
07_chapter 3.pdf433.05 kBAdobe PDFView/Open
08_chapter 4.pdf1.54 MBAdobe PDFView/Open
09_chapter 5.pdf1.06 MBAdobe PDFView/Open
10_chapter 6.pdf391.83 kBAdobe PDFView/Open
11_chapter 7.pdf375.59 kBAdobe PDFView/Open
12_annexures.pdf635.67 kBAdobe PDFView/Open
80_recommendation.pdf571.13 kBAdobe PDFView/Open
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