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 |
Files in This Item:
File | Description | Size | Format | |
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01_title.pdf | Attached File | 352.66 kB | Adobe PDF | View/Open |
02_prelim pages .pdf | 924.87 kB | Adobe PDF | View/Open | |
03_content.pdf | 423.31 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 381.37 kB | Adobe PDF | View/Open | |
05_chapter 1.pdf | 1.06 MB | Adobe PDF | View/Open | |
06_chapter 2.pdf | 856.7 kB | Adobe PDF | View/Open | |
07_chapter 3.pdf | 433.05 kB | Adobe PDF | View/Open | |
08_chapter 4.pdf | 1.54 MB | Adobe PDF | View/Open | |
09_chapter 5.pdf | 1.06 MB | Adobe PDF | View/Open | |
10_chapter 6.pdf | 391.83 kB | Adobe PDF | View/Open | |
11_chapter 7.pdf | 375.59 kB | Adobe PDF | View/Open | |
12_annexures.pdf | 635.67 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 571.13 kB | Adobe PDF | View/Open |
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