RIIS-DenseNet: Rotation-Invariant and Image Similarity Constrained Densely Connected Convolutional Network for Polyp Detection

2018 ◽  
pp. 620-628 ◽  
Author(s):  
Yixuan Yuan ◽  
Wenjian Qin ◽  
Bulat Ibragimov ◽  
Bin Han ◽  
Lei Xing
Keyword(s):  
Image Similarity ◽  
Polyp Detection ◽  
Rotation Invariant ◽  
Convolutional Network

scholarly journals SACN: A Novel Rotating Face Detector Based on Architecture Search

Electronics ◽  
2021 ◽  
Vol 10 (5) ◽  
pp. 558
Author(s):  
Anping Song ◽  
Xiaokang Xu ◽  
Xinyi Zhai
Keyword(s):  
Face Detection ◽  
Human Face ◽  
Angle Error ◽  
Rotation Invariant ◽  
Convolutional Network ◽  
Data Set ◽  
Practical Applications ◽  
Model Size ◽  
Average Angle ◽  
Face Detector

Rotation-Invariant Face Detection (RIPD) has been widely used in practical applications; however, the problem of the adjusting of the rotation-in-plane (RIP) angle of the human face still remains. Recently, several methods based on neural networks have been proposed to solve the RIP angle problem. However, these methods have various limitations, including low detecting speed, model size, and detecting accuracy. To solve the aforementioned problems, we propose a new network, called the Searching Architecture Calibration Network (SACN), which utilizes architecture search, fully convolutional network (FCN) and bounding box center cluster (CC). SACN was tested on the challenging Multi-Oriented Face Detection Data Set and Benchmark (MOFDDB) and achieved a higher detecting accuracy and almost the same speed as existing detectors. Moreover, the average angle error is optimized from the current 12.6° to 10.5°.

Is software assisted polyp detection reliable in the presentation of colorectal polyps in colon capsule endoscopy?

2013 ◽  
Vol 51 (08) ◽  
Author(s):  
MJ Farnbacher ◽  
H Krause ◽  
AF Hagel ◽  
M Raithel ◽  
MF Neurath ◽  
...  
Keyword(s):  
Capsule Endoscopy ◽  
Colorectal Polyps ◽  
Polyp Detection ◽  
Colon Capsule Endoscopy ◽  
Colon Capsule

Patient Tolerability of Bowel Preparation is Associated with Polyp Detection Rate During Colonoscopy

2014 ◽  
Vol 23 (2) ◽  
pp. 135-140 ◽  
Author(s):  
Edward W. Holt ◽  
Kidist K. Yimam ◽  
Hanley Ma ◽  
Richard E. Shaw ◽  
Richard A. Sundberg ◽  
...  
Keyword(s):  
Bowel Preparation ◽  
Primary Outcome ◽  
Secondary Outcome ◽  
Polyp Detection ◽  
Cross Sectional ◽  
Quality Outcomes ◽  
Negative Experience ◽  
Polyp Detection Rate ◽  
Patient Reported ◽  
Bowel Prep

Background & Aims: A number of factors have been identified that influence the yield of screeningcolonoscopy. The perceived tolerability of bowel preparation has not been studied as a predictor of quality outcomes in colonoscopy. We aimed to characterize the association between patient-perceived tolerability of bowel preparation and polyp detection during colonoscopy.Methods: We performed a cross-sectional cohort study of 413 consecutive adult patients presenting foroutpatient colonoscopy at two outpatient endoscopy centers at our institution. We developed a standardized questionnaire to assess the patient's experience with bowel preparation. Bowel preparation quality was measured using the validated Ottawa scale and colonoscopic findings were recorded for each patient. The primary outcome was polyp detection and the secondary outcome was the quality of bowel preparation.Results: Patient-reported clarity of effluent during bowel preparation correlated poorly with Ottawa score during colonoscopy, k=0.15. Female gender was an independent risk factor for a poorly tolerated bowel prep (OR 3.93, 95% CI 2.30 - 6.72, p<0.001). Report of a poorly tolerated bowel prep was independently associated with the primary outcome, polyp detection (OR 0.39, 95% CI 0.18 - 0.84, p=0.02) and also with the secondary outcome, lower quality bowel preparation (OR 2.39, 95% CI 1.17 - 4.9, p=0.02).Conclusions: A patient-perceived negative experience with bowel preparation independently predicted both a lower quality bowel preparation and a lower rate of polyp of detection. Assessment of the tolerability of bowel preparation before colonoscopy may be a clinically useful predictor of quality outcomes during colonoscopy.

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