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 …

Kvasir: A multi-class image dataset for computer aided gastrointestinal disease detection

K Pogorelov, KR Randel, C Griwodz… - Proceedings of the 8th …, 2017 - dl.acm.org
Automatic detection of diseases by use of computers is an important, but still unexplored
field of research. Such innovations may improve medical practice and refine health care …

Natural disasters detection in social media and satellite imagery: a survey

N Said, K Ahmad, M Riegler, K Pogorelov… - Multimedia Tools and …, 2019 - Springer
The analysis of natural disaster-related multimedia content got great attention in recent
years. Being one of the most important sources of information, social media have been …

Machine learning-based analysis of sperm videos and participant data for male fertility prediction

SA Hicks, JM Andersen, O Witczak, V Thambawita… - Scientific reports, 2019 - nature.com
Methods for automatic analysis of clinical data are usually targeted towards a specific
modality and do not make use of all relevant data available. In the field of male human …

An extensive study on cross-dataset bias and evaluation metrics interpretation for machine learning applied to gastrointestinal tract abnormality classification

V Thambawita, D Jha, HL Hammer… - ACM Transactions on …, 2020 - dl.acm.org
Precise and efficient automated identification of gastrointestinal (GI) tract diseases can help
doctors treat more patients and improve the rate of disease detection and identification …

Nerthus: A bowel preparation quality video dataset

K Pogorelov, KR Randel, T de Lange… - Proceedings of the 8th …, 2017 - dl.acm.org
Bowel preparation (cleansing) is considered to be a key precondition for successful
colonoscopy (endoscopic examination of the bowel). The degree of bowel cleansing directly …

Social media and satellites: Disaster event detection, linking and summarization

K Ahmad, K Pogorelov, M Riegler, N Conci… - Multimedia Tools and …, 2019 - Springer
Being able to automatically link social media and satellite imagery holds large opportunities
for research, with a potentially considerable impact on society. The possibility of integrating …

Deep learning and hand-crafted feature based approaches for polyp detection in medical videos

K Pogorelov, O Ostroukhova… - 2018 IEEE 31st …, 2018 - ieeexplore.ieee.org
Video analysis including classification, segmentation or tagging is one of the most
challenging but also interesting topics multimedia research currently try to tackle. This is …

How deep features have improved event recognition in multimedia: A survey

K Ahmad, N Conci - ACM Transactions on Multimedia Computing …, 2019 - dl.acm.org
Event recognition is one of the areas in multimedia that is attracting great attention of
researchers. Being applicable in a wide range of applications, from personal to collective …

Classification of malignant tumours in breast ultrasound using unsupervised machine learning approaches

WC Shia, LS Lin, DR Chen - Scientific Reports, 2021 - nature.com
Traditional computer-aided diagnosis (CAD) processes include feature extraction, selection,
and classification. Effective feature extraction in CAD is important in improving the …