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Optimal detection of small bowel polyp and ulcer in wireless

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Reference no: EM131148547

Write a thesis Paper (Research Proposal) "An optimal detection of small bowel Polyp and Ulcer in Wireless Capsule Endoscopy images using texture analysis based on Fast Bi-dimensional Empirical Mode Decomposition with Dlac analysis"

Wireless capsule endoscopy (WCE) has been widely used nowadays to view the entire intestine. However, there still exists a challenging problem of it that over 55,000 images are produced during one examination for one patient. Analyzing such large number of images is very time-consuming and tedious for physicians, so a computer aided diagnosis (CAD) strategy to automatically detect the polyps is proposed. Hopefully it will reduce this heavy burden for doctors.

1.Present theories & Practices:
2. Conventional methods:
3 Literature review:
4. Problem Defination
5. Performance Analysis:
6. Facilities Required:
Conclusions
References

Academic requirements:

• Your work must be submitted as 4000 words.

• Your work should be submitted in the well  formats paragraphs.

• All work must be referenced using the Harvard /APA method.

• Provide a reference list.

Reference no: EM131148547

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Optimal detection of small bowel polyp and ulcer in wireless : Write a thesis Paper (Research Proposal) "An optimal detection of small bowel Polyp and Ulcer in Wireless Capsule Endoscopy images using texture analysis based on Fast Bi-dimensional Empirical Mode Decomposition with Dlac analysis"
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