Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/423334
Title: An Efficient Tumor Detection Framework Using Deep Learning
Researcher: Damandeep
Guide(s): Surender Singh and Kavita
Keywords: Computer Science
Computer Science Artificial Intelligence
Engineering and Technology
University: Chandigarh University
Completed Date: 2022
Abstract: Brain tumor is the 22nd most common cancer worldwide with 1.8% of the total number of new cancers. Brain tumor Segmentation ad classification plays vital role in Tumor diagnosis using various image processing techniques, As Brain tumor is a critical and life threatening condition which is spreading worldwide. So Early Detection of Brain tumor can improve the patient Survival. Because of their enormous increases in data search and extraction speed and accuracy, as well as individualized treatment suggestions, machine- and deep-learning techniques are being increasingly commonly applied throughout healthcare industries. newline
Pagination: 
URI: http://hdl.handle.net/10603/423334
Appears in Departments:Department of Computer Science Engineering

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01_title.pdfAttached File129.07 kBAdobe PDFView/Open
02_prelim page.pdf513.78 kBAdobe PDFView/Open
03_content.pdf201.73 kBAdobe PDFView/Open
04_abstract.pdf78.11 kBAdobe PDFView/Open
05_chapter 1.pdf673.66 kBAdobe PDFView/Open
06_chapter 2.pdf179.07 kBAdobe PDFView/Open
07_chapter 3.pdf159.64 kBAdobe PDFView/Open
08_chapter 4.pdf940.97 kBAdobe PDFView/Open
09_chapter 5.pdf565.72 kBAdobe PDFView/Open
10_chapter 6.pdf347.95 kBAdobe PDFView/Open
11_chapter 7.pdf90 kBAdobe PDFView/Open
12_annexure.pdf256.9 kBAdobe PDFView/Open
80_recommendation.pdf217.72 kBAdobe PDFView/Open
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