HyperKvasir, a comprehensive multi-class image and video dataset for gastrointestinal endoscopy
出版年份 2020 全文链接
标题
HyperKvasir, a comprehensive multi-class image and video dataset for gastrointestinal endoscopy
作者
关键词
-
出版物
Scientific Data
Volume 7, Issue 1, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2020-08-28
DOI
10.1038/s41597-020-00622-y
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Computer-aided diagnosis of colorectal polyps using linked color imaging colonoscopy to predict histology
- (2019) Min Min et al. Scientific Reports
- Not-so-supervised: a survey of semi-supervised, multi-instance, and transfer learning in medical image analysis
- (2019) Veronika Cheplygina et al. MEDICAL IMAGE ANALYSIS
- 383 DEEP LEARNING FOR AUTOMATIC GENERATION OF ENDOSCOPY REPORTS
- (2019) Steven Hicks et al. GASTROINTESTINAL ENDOSCOPY
- Artificial Intelligence-Based Classification of Multiple Gastrointestinal Diseases Using Endoscopy Videos for Clinical Diagnosis
- (2019) Owais et al. Journal of Clinical Medicine
- A robust medical image retrieval system based on wavelet optimization and adaptive block truncation coding
- (2019) H. Kasban et al. MULTIMEDIA TOOLS AND APPLICATIONS
- 113 APPLICATION OF ARTIFICIAL INTELLIGENCE USING CONVOLUTIONAL NEURAL NETWORK FOR DETECTING GASTRIC CANCER IN ENDOSCOPIC IMAGES.
- (2018) Toshiaki Hirasawa et al. GASTROINTESTINAL ENDOSCOPY
- Deep learning based tissue analysis predicts outcome in colorectal cancer
- (2018) Dmitrii Bychkov et al. Scientific Reports
- Real-Time Use of Artificial Intelligence in Identification of Diminutive Polyps During Colonoscopy
- (2018) Yuichi Mori et al. ANNALS OF INTERNAL MEDICINE
- Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries
- (2018) Freddie Bray et al. CA-A CANCER JOURNAL FOR CLINICIANS
- High-performance medicine: the convergence of human and artificial intelligence
- (2018) Eric J. Topol NATURE MEDICINE
- Methodology to develop machine learning algorithms to improve performance in gastrointestinal endoscopy
- (2018) Thomas de Lange et al. WORLD JOURNAL OF GASTROENTEROLOGY
- Endoscopic Image Classification and Retrieval using Clustered Convolutional Features
- (2017) Jamil Ahmad et al. JOURNAL OF MEDICAL SYSTEMS
- Medical Image Retrieval with Compact Binary Codes Generated in Frequency Domain Using Highly Reactive Convolutional Features
- (2017) Jamil Ahmad et al. JOURNAL OF MEDICAL SYSTEMS
- Automated Polyp Detection in Colonoscopy Videos Using Shape and Context Information
- (2016) Nima Tajbakhsh et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Polyp-Alert: Near real-time feedback during colonoscopy
- (2015) Yi Wang et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- 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
- Polyp Morphology: An Interobserver Evaluation for the Paris Classification Among International Experts
- (2014) Sascha C van Doorn et al. AMERICAN JOURNAL OF GASTROENTEROLOGY
- Endoscopic Experience Improves Interobserver Agreement in the Grading of Esophagitis by Los Angeles Classification: Conventional Endoscopy and Optimal Band Image System
- (2014) Si Hyung Lee et al. Gut and Liver
- Standardized endoscopic reporting
- (2013) Lars Aabakken et al. JOURNAL OF GASTROENTEROLOGY AND HEPATOLOGY
- Colorectal cancer
- (2013) Hermann Brenner et al. LANCET
- 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
- Towards automatic polyp detection with a polyp appearance model
- (2012) J. Bernal et al. PATTERN RECOGNITION
- Comprehensive validation of the Boston Bowel Preparation Scale
- (2010) Audrey H. Calderwood et al. GASTROINTESTINAL ENDOSCOPY
- Quality Indicators for Colonoscopy and the Risk of Interval Cancer
- (2010) Michal F. Kaminski et al. NEW ENGLAND JOURNAL OF MEDICINE
- The Boston bowel preparation scale: a valid and reliable instrument for colonoscopy-oriented research
- (2009) Edwin J. Lai et al. GASTROINTESTINAL ENDOSCOPY
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now