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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 …
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 …
field of research. Such innovations may improve medical practice and refine health care …
Natural disasters detection in social media and satellite imagery: a survey
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 …
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
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 …
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
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 …
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 …
colonoscopy (endoscopic examination of the bowel). The degree of bowel cleansing directly …
Social media and satellites: Disaster event detection, linking and summarization
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 …
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 …
challenging but also interesting topics multimedia research currently try to tackle. This is …
How deep features have improved event recognition in multimedia: A survey
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 …
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 …
and classification. Effective feature extraction in CAD is important in improving the …