Validation Techniques for Relating Ensemble Methods in Polyp Detection
Nagesh B S1, N P Kavya2
1Nagesh B S, Department of CSE, RNSIT, Bengaluru (Karnataka), India.
2Dr. N P Kavya, Department of CSE, RNSIT, Bengaluru (Karnataka), India.
Manuscript received on 05 December 2019 | Revised Manuscript received on 13 December 2019 | Manuscript Published on 31 December 2019 | PP: 455-458 | Volume-9 Issue-2S December 2019 | Retrieval Number: B11151292S19/2019©BEIESP | DOI: 10.35940/ijitee.B1115.1292S19
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Endoscopy is one of the most efficient colon screening technique through which the polyps are identified and treated. This manual process of identifying the polyp has chance of missing some polyps while diagnosis. To overcome this an efficient computer aided detection technique need to designed, there are several computing techniques and algorithms available, this research article tries compare different techniques used in polyp detection and also proposes several performance evaluation metrics which can be used to find the proficiency of methods in identifying polyps in endoscopy videos. The article presents various identification methods, evaluation methods include various parameters like performance metrics. The proposed ensemble approaches are discussed in polyp detection mechanism.
Keywords: Ensemble, Endoscopy, Polyp Detection. Video Mining.
Scope of the Article: Mobile System Validation and Test Automation