An efficient real-time colonic polyp detection with YOLO algorithms trained by using negative samples and large datasets
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
An efficient real-time colonic polyp detection with YOLO algorithms trained by using negative samples and large datasets
Authors
Keywords
Polyp detection, Deep learning, Medical image analysis, YOLOv4, YOLOv3, Scaled-YOLOv4, YOLOv4-CSP, Rectal cancer, Colon cancer, Real-time polyp detection, Negative samples, PICCOLO polyp dataset, SUN polyp dataset, Etis-Larib dataset, Convolutional neural networks, Colorectal cancer
Journal
COMPUTERS IN BIOLOGY AND MEDICINE
Volume 141, Issue -, Pages 105031
Publisher
Elsevier BV
Online
2021-11-14
DOI
10.1016/j.compbiomed.2021.105031
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- A Holistic Appraisal of Stromal Differentiation in Colorectal Cancer: Biology, Histopathology, Computation, and Genomics
- (2021) Sean M. Hacking et al. PATHOLOGY RESEARCH AND PRACTICE
- MODE-CNN: A fast converging multi-objective optimization algorithm for CNN-based models
- (2021) Özkan İni̇k et al. APPLIED SOFT COMPUTING
- A robust real-time deep learning based automatic polyp detection system
- (2021) Ishak Pacal et al. COMPUTERS IN BIOLOGY AND MEDICINE
- RSigELU: A nonlinear activation function for deep neural networks
- (2021) Serhat Kiliçarslan et al. EXPERT SYSTEMS WITH APPLICATIONS
- Consolidated domain adaptive detection and localization framework for cross-device colonoscopic images
- (2021) Xinyu Liu et al. MEDICAL IMAGE ANALYSIS
- A new composite approach for COVID-19 detection in X-ray images using deep features
- (2021) Tayyip Ozcan APPLIED SOFT COMPUTING
- Development of a computer-aided detection system for colonoscopy and a publicly accessible large colonoscopy video database (with video)
- (2020) Masashi Misawa et al. GASTROINTESTINAL ENDOSCOPY
- PICCOLO White-Light and Narrow-Band Imaging Colonoscopic Dataset: A Performance Comparative of Models and Datasets
- (2020) Luisa F. Sánchez-Peralta et al. Applied Sciences-Basel
- Toward real-time polyp detection using fully CNNs for 2D Gaussian shapes prediction
- (2020) Hemin Ali Qadir et al. MEDICAL IMAGE ANALYSIS
- A new method for automatic counting of ovarian follicles on whole slide histological images based on convolutional neural network
- (2019) Özkan İnik et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Sigmoid-weighted linear units for neural network function approximation in reinforcement learning
- (2018) Stefan Elfwing et al. NEURAL NETWORKS
- Comparative Validation of Polyp Detection Methods in Video Colonoscopy: Results From the MICCAI 2015 Endoscopic Vision Challenge
- (2017) Jorge Bernal et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
- (2017) Shaoqing Ren et al. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
- Adenoma Detection Rate and Risk of Colorectal Cancer and Death
- (2014) Douglas A. Corley et al. NEW ENGLAND JOURNAL OF MEDICINE
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started