The VIA annotation software for images, audio and video
A Dutta, A Zisserman - Proceedings of the 27th ACM international …, 2019 - dl.acm.org
In this paper, we introduce a simple and standalone manual annotation tool for images,
audio and video: the VGG Image Annotator (VIA). This is a light weight, standalone and …
audio and video: the VGG Image Annotator (VIA). This is a light weight, standalone and …
Real-time polyp detection, localization and segmentation in colonoscopy using deep learning
Computer-aided detection, localization, and segmentation methods can help improve
colonoscopy procedures. Even though many methods have been built to tackle automatic …
colonoscopy procedures. Even though many methods have been built to tackle automatic …
A comprehensive study on colorectal polyp segmentation with ResUNet++, conditional random field and test-time augmentation
Colonoscopy is considered the gold standard for detection of colorectal cancer and its
precursors. Existing examination methods are, however, hampered by high overall miss …
precursors. Existing examination methods are, however, hampered by high overall miss …
HyperKvasir, a comprehensive multi-class image and video dataset for gastrointestinal endoscopy
Artificial intelligence is currently a hot topic in medicine. However, medical data is often
sparse and hard to obtain due to legal restrictions and lack of medical personnel for the …
sparse and hard to obtain due to legal restrictions and lack of medical personnel for the …
A systematic collection of medical image datasets for deep learning
The astounding success made by artificial intelligence in healthcare and other fields proves
that it can achieve human-like performance. However, success always comes with …
that it can achieve human-like performance. However, success always comes with …
Fiba: Frequency-injection based backdoor attack in medical image analysis
In recent years, the security of AI systems has drawn increasing research attention,
especially in the medical imaging realm. To develop a secure medical image analysis (MIA) …
especially in the medical imaging realm. To develop a secure medical image analysis (MIA) …
[HTML][HTML] Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy
Abstract The Endoscopy Computer Vision Challenge (EndoCV) is a crowd-sourcing initiative
to address eminent problems in developing reliable computer aided detection and diagnosis …
to address eminent problems in developing reliable computer aided detection and diagnosis …
Towards a better understanding of annotation tools for medical imaging: a survey
M Aljabri, M AlAmir, M AlGhamdi… - Multimedia tools and …, 2022 - Springer
Medical imaging refers to several different technologies that are used to view the human
body to diagnose, monitor, or treat medical conditions. It requires significant expertise to …
body to diagnose, monitor, or treat medical conditions. It requires significant expertise to …
An objective comparison of detection and segmentation algorithms for artefacts in clinical endoscopy
We present a comprehensive analysis of the submissions to the first edition of the
Endoscopy Artefact Detection challenge (EAD). Using crowd-sourcing, this initiative is a step …
Endoscopy Artefact Detection challenge (EAD). Using crowd-sourcing, this initiative is a step …
A real-time polyp-detection system with clinical application in colonoscopy using deep convolutional neural networks
Colorectal cancer (CRC) is a leading cause of cancer-related deaths worldwide. The best
method to prevent CRC is with a colonoscopy. During this procedure, the gastroenterologist …
method to prevent CRC is with a colonoscopy. During this procedure, the gastroenterologist …