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 …

Real-time polyp detection, localization and segmentation in colonoscopy using deep learning

D Jha, S Ali, NK Tomar, HD Johansen… - Ieee …, 2021 - ieeexplore.ieee.org
Computer-aided detection, localization, and segmentation methods can help improve
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

D Jha, PH Smedsrud, D Johansen… - IEEE journal of …, 2021 - ieeexplore.ieee.org
Colonoscopy is considered the gold standard for detection of colorectal cancer and its
precursors. Existing examination methods are, however, hampered by high overall miss …

HyperKvasir, a comprehensive multi-class image and video dataset for gastrointestinal endoscopy

H Borgli, V Thambawita, PH Smedsrud, S Hicks, D Jha… - Scientific data, 2020 - nature.com
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 …

A systematic collection of medical image datasets for deep learning

J Li, G Zhu, C Hua, M Feng, B Bennamoun, P Li… - ACM Computing …, 2023 - dl.acm.org
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 …

Fiba: Frequency-injection based backdoor attack in medical image analysis

Y Feng, B Ma, J Zhang, S Zhao… - Proceedings of the …, 2022 - openaccess.thecvf.com
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) …

[HTML][HTML] Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy

S Ali, M Dmitrieva, N Ghatwary, S Bano, G Polat… - Medical image …, 2021 - Elsevier
Abstract The Endoscopy Computer Vision Challenge (EndoCV) is a crowd-sourcing initiative
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 …

An objective comparison of detection and segmentation algorithms for artefacts in clinical endoscopy

S Ali, F Zhou, B Braden, A Bailey, S Yang, G Cheng… - Scientific reports, 2020 - nature.com
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 …

A real-time polyp-detection system with clinical application in colonoscopy using deep convolutional neural networks

A Krenzer, M Banck, K Makowski, A Hekalo, D Fitting… - Journal of …, 2023 - mdpi.com
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 …