An improved framework for polyp image segmentation based on SegNet architecture
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Title
An improved framework for polyp image segmentation based on
SegNet
architecture
Authors
Keywords
-
Journal
INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY
Volume -, Issue -, Pages -
Publisher
Wiley
Online
2021-03-10
DOI
10.1002/ima.22568
References
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Related references
Note: Only part of the references are listed.- Deep Learning Techniques for Medical Image Segmentation: Achievements and Challenges
- (2019) Mohammad Hesam Hesamian et al. JOURNAL OF DIGITAL IMAGING
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- Detecting colorectal polyps via machine learning
- (2018) Yuichi Mori et al. Nature Biomedical Engineering
- SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
- (2017) Vijay Badrinarayanan et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- A Benchmark for Endoluminal Scene Segmentation of Colonoscopy Images
- (2017) David Vázquez et al. Journal of Healthcare Engineering
- Automated Polyp Detection in Colonoscopy Videos Using Shape and Context Information
- (2016) Nima Tajbakhsh et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- WM-DOVA maps for accurate polyp highlighting in colonoscopy: Validation vs. saliency maps from physicians
- (2015) Jorge Bernal et al. COMPUTERIZED MEDICAL IMAGING AND GRAPHICS
- Toward embedded detection of polyps in WCE images for early diagnosis of colorectal cancer
- (2013) Juan Silva et al. International Journal of Computer Assisted Radiology and Surgery
- Factors influencing the miss rate of polyps in a back-to-back colonoscopy study
- (2012) A. Leufkens et al. ENDOSCOPY
- Automatic Segmentation of Polyps in Colonoscopic Narrow-Band Imaging Data
- (2012) M. Ganz et al. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
- Towards automatic polyp detection with a polyp appearance model
- (2012) J. Bernal et al. PATTERN RECOGNITION
- Quality Indicators for Colonoscopy and the Risk of Interval Cancer
- (2010) Michal F. Kaminski et al. NEW ENGLAND JOURNAL OF MEDICINE
- Colorectal Cancer Epidemiology: Incidence, Mortality, Survival, and Risk Factors
- (2009) Fatima Haggar et al. Clinics in Colon and Rectal Surgery
- Colonoscopic Screening in Average-Risk Individuals Ages 40 to 49 vs 50 to 59 Years
- (2008) Andrew G. Rundle et al. GASTROENTEROLOGY
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