Medical image super-resolution for smart healthcare applications: A comprehensive survey

S Umirzakova, S Ahmad, LU Khan, T Whangbo - Information Fusion, 2023 - Elsevier
The digital transformation in healthcare, propelled by the integration of deep learning
models and the Internet of Things (IoT), is creating unprecedented opportunities for …

Kvasir-Capsule, a video capsule endoscopy dataset

PH Smedsrud, V Thambawita, SA Hicks, H Gjestang… - Scientific Data, 2021 - nature.com
Artificial intelligence (AI) is predicted to have profound effects on the future of video capsule
endoscopy (VCE) technology. The potential lies in improving anomaly detection while …

Artificial intelligence and deep learning for small bowel capsule endoscopy

R Trasolini, MF Byrne - Digestive Endoscopy, 2021 - Wiley Online Library
Capsule endoscopy is ideally suited to artificial intelligence‐based interpretation given its
reliance on pattern recognition in still images. Time saving viewing modes and lesion …

Deep transfer learning approaches for bleeding detection in endoscopy images

A Caroppo, A Leone, P Siciliano - Computerized Medical Imaging and …, 2021 - Elsevier
Wireless capsule endoscopy is a non-invasive, wireless imaging tool that has developed
rapidly over the last several years. One of the main limiting factors using this technology is …

Role of artificial intelligence in video capsule endoscopy

I Tziortziotis, FM Laskaratos, S Coda - Diagnostics, 2021 - mdpi.com
Capsule endoscopy (CE) has been increasingly utilised in recent years as a minimally
invasive tool to investigate the whole gastrointestinal (GI) tract and a range of capsules are …

Nomenclature and semantic descriptions of ulcerative and inflammatory lesions seen in Crohn's disease in small bowel capsule endoscopy: An international Delphi …

R Leenhardt, A Buisson, A Bourreille… - United European …, 2020 - journals.sagepub.com
Background In the medical literature, the nomenclature and descriptions (ND) of small bowel
(SB) ulcerative and inflammatory (UI) lesions in capsule endoscopy (CE) are scarce and …

Efficient high-resolution deep learning: A survey

A Bakhtiarnia, Q Zhang, A Iosifidis - ACM Computing Surveys, 2024 - dl.acm.org
Cameras in modern devices such as smartphones, satellites and medical equipment are
capable of capturing very high resolution images and videos. Such high-resolution data …

[HTML][HTML] Machine learning based small bowel video capsule endoscopy analysis: Challenges and opportunities

H Wahab, I Mehmood, H Ugail, AK Sangaiah… - Future Generation …, 2023 - Elsevier
Video capsule endoscopy (VCE) is a revolutionary technology for the early diagnosis of
gastric disorders. However, owing to the high redundancy and subtle manifestation of …

Colon cancer diagnosis based on machine learning and deep learning: Modalities and analysis techniques

M Tharwat, NA Sakr, S El-Sappagh, H Soliman… - Sensors, 2022 - mdpi.com
The treatment and diagnosis of colon cancer are considered to be social and economic
challenges due to the high mortality rates. Every year, around the world, almost half a million …

[HTML][HTML] Artificial intelligence in gastrointestinal endoscopy

R Pannala, K Krishnan, J Melson, MA Parsi… - VideoGIE, 2020 - Elsevier
Background and Aims Artificial intelligence (AI)-based applications have transformed
several industries and are widely used in various consumer products and services. In …