Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/49426
Title: Investigations of methodologies to classify and detect lung cancer nodules
Researcher: Jinsa kuruvilla
Guide(s): Gunavathi K
Keywords: Information and communication engineering
lung cancer
nodules
Upload Date: 11-Sep-2015
University: Anna University
Completed Date: 01/09/2014
Abstract: Lung cancer is the leading cause of cancer deaths in both women newlineand men It is estimated that 12 million people are diagnosed with this newlinedisease every year and about 11 million people are dying of this disease newlineyearly The survival rate is higher if the cancer is detected at early stages The newlineearly detection of lung cancer is not an easy task About 80 patients are newlinediagnosed correctly at the middle or advanced stage of cancer Computer newlineaided diagnosis system is very helpful for radiologist in detection and newlinediagnosing abnormalities earlier and faster The computer aided diagnosis is a newlinesecond opinion for radiologists before suggesting a biopsy test newline newline
Pagination: xxii,195p.
URI: http://hdl.handle.net/10603/49426
Appears in Departments:Faculty of Information and Communication Engineering

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01_title.pdfAttached File48.39 kBAdobe PDFView/Open
02_certificate.pdf12.17 MBAdobe PDFView/Open
03_abstract.pdf29.78 kBAdobe PDFView/Open
04_acknowledgement.pdf20.63 kBAdobe PDFView/Open
05_contents.pdf56.64 kBAdobe PDFView/Open
06_chapter 1.pdf603.41 kBAdobe PDFView/Open
07_chapter 2.pdf942.75 kBAdobe PDFView/Open
08_chapter 3.pdf655.4 kBAdobe PDFView/Open
09_chapter 4.pdf282.04 kBAdobe PDFView/Open
10_chapter 5.pdf148.57 kBAdobe PDFView/Open
11_chapter 6.pdf621.02 kBAdobe PDFView/Open
12_chapter 7.pdf2.23 MBAdobe PDFView/Open
13_chapter 8.pdf45.17 kBAdobe PDFView/Open
14_references.pdf65.16 kBAdobe PDFView/Open
15_publications.pdf26.4 kBAdobe PDFView/Open
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