An interpretable deep neural network for colorectal polyp diagnosis under colonoscopy
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
An interpretable deep neural network for colorectal polyp diagnosis under colonoscopy
Authors
Keywords
Colorectal polyp diagnosis, Deep neural network, Yamada classification guidance, Polyp segmentation
Journal
KNOWLEDGE-BASED SYSTEMS
Volume 234, Issue -, Pages 107568
Publisher
Elsevier BV
Online
2021-10-06
DOI
10.1016/j.knosys.2021.107568
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Multiscale fused network with additive channel–spatial attention for image segmentation
- (2021) Chengling Gao et al. KNOWLEDGE-BASED SYSTEMS
- An interpretable knowledge-based decision support system and its applications in pregnancy diagnosis
- (2021) Kehui Song et al. KNOWLEDGE-BASED SYSTEMS
- Medical image segmentation based on active fusion-transduction of multi-stream features
- (2021) Yucheng Shu et al. KNOWLEDGE-BASED SYSTEMS
- Deep neural network correlation learning mechanism for CT brain tumor detection
- (2021) Marcin Woźniak et al. NEURAL COMPUTING & APPLICATIONS
- Multi-modal advanced deep learning architectures for breast cancer survival prediction
- (2021) Nikhilanand Arya et al. KNOWLEDGE-BASED SYSTEMS
- Recurrent generative adversarial networks for unsupervised WCE video summarization
- (2021) Libin Lan et al. KNOWLEDGE-BASED SYSTEMS
- ACCURACY OF ARTIFICIAL INTELLIGENCE ON HISTOLOGY PREDICTION AND DETECTION OF COLORECTAL POLYPS: A SYSTEMATIC REVIEW AND META-ANALYSIS
- (2020) Thomas KL. Lui et al. GASTROINTESTINAL ENDOSCOPY
- Deep Neural Networks approaches for detecting and classifying colorectal polyps
- (2020) Alba Nogueira-Rodríguez et al. NEUROCOMPUTING
- Deep learning to find colorectal polyps in colonoscopy: A systematic literature review
- (2020) Luisa F. Sánchez-Peralta et al. ARTIFICIAL INTELLIGENCE IN MEDICINE
- A descriptive framework for the field of deep learning applications in medical images
- (2020) Yingjie Tian et al. KNOWLEDGE-BASED SYSTEMS
- Region-Based Automated Localization of Colonoscopy and Wireless Capsule Endoscopy Polyps
- (2019) Sudhir Sornapudi et al. Applied Sciences-Basel
- Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization
- (2019) Ramprasaath R. Selvaraju et al. INTERNATIONAL JOURNAL OF COMPUTER VISION
- Computer-aided diagnosis of gallbladder polyps based on high resolution ultrasonography
- (2019) Tao Chen et al. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
- Small Lung Nodules Detection Based on Fuzzy-Logic and Probabilistic Neural Network With Bioinspired Reinforcement Learning
- (2019) Giacomo Capizzi et al. IEEE TRANSACTIONS ON FUZZY SYSTEMS
- Cancer statistics, 2018
- (2018) Rebecca L. Siegel et al. CA-A CANCER JOURNAL FOR CLINICIANS
- Deep Learning Localizes and Identifies Polyps in Real Time with 96% Accuracy in Screening Colonoscopy
- (2018) Gregor Urban et al. GASTROENTEROLOGY
- Dermoscopic assisted diagnosis in melanoma: Reviewing results, optimizing methodologies and quantifying empirical guidelines
- (2018) Huei Diana Lee et al. KNOWLEDGE-BASED SYSTEMS
- Polyp detection during colonoscopy using a regression-based convolutional neural network with a tracker
- (2018) Ruikai Zhang et al. PATTERN RECOGNITION
- 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
- Development and validation of a deep-learning algorithm for the detection of polyps during colonoscopy
- (2018) Pu Wang et al. Nature Biomedical Engineering
- Explainable machine-learning predictions for the prevention of hypoxaemia during surgery
- (2018) Scott M. Lundberg et al. Nature Biomedical Engineering
- Prevalence of Germline Mutations in Polyposis and Colorectal Cancer-associated Genes in Patients With Multiple Colorectal Polyps
- (2018) Peter P. Stanich et al. Clinical Gastroenterology and Hepatology
- Long-Term Recurrent Convolutional Networks for Visual Recognition and Description
- (2017) Jeff Donahue 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
- Integrating Online and Offline Three-Dimensional Deep Learning for Automated Polyp Detection in Colonoscopy Videos
- (2017) Lequan Yu et al. IEEE Journal of Biomedical and Health Informatics
- Edge density based automatic detection of inflammation in colonoscopy videos
- (2016) I. Ševo et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Clinicopathological Features of Colorectal Cancer Patients Under the Age of 50: Recent Experience and Case-Control Study of Prognosis in a Japanese Cohort
- (2016) Yuzo Nagai et al. DIGESTION
- Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?
- (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
- Polyp Detection via Imbalanced Learning and Discriminative Feature Learning
- (2015) Seung-Hwan Bae et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- ImageNet Large Scale Visual Recognition Challenge
- (2015) Olga Russakovsky et al. INTERNATIONAL JOURNAL OF COMPUTER VISION
- 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
- Large Colorectal Polyps
- (2010) Sushil K. Ahlawat et al. JOURNAL OF CLINICAL GASTROENTEROLOGY
- Pedestrian Detection via Classification on Riemannian Manifolds
- (2008) O. Tuzel et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Factors that Increase Risk of Colon Polyps
- (2008) Sarah Grahn et al. Clinics in Colon and Rectal Surgery
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started