A comprehensive analysis of classification methods in gastrointestinal endoscopy imaging
Gastrointestinal (GI) endoscopy has been an active field of research motivated by the large number of highly lethal GI cancers. Early GI cancer precursors are often missed during the endoscopic surveillance. The high missed rate of such abnormalities during endoscopy is thus a critical bottleneck. L...
Main Authors: | Jha, D, Ali, S, Hicks, S, Thambawita, V, Borgli, H, Smedsrud, PH, de Lange, T, Pogorelov, K, Wang, X, Harzig, P, Tran, M-T, Meng, W, Hoang, T-H, Dias, D, Ko, TH, Agrawal, T, Ostroukhova, O, Khan, Z, Atif Tahir, M, Liu, Y, Chang, Y, Kirkerød, M, Johansen, D, Lux, M, Johansen, HD, Riegler, MA, Halvorsen, P |
---|---|
Formato: | Journal article |
Idioma: | English |
Publicado em: |
Elsevier
2021
|
Registos relacionados
-
Kvasir-Capsule, a video capsule endoscopy dataset
Por: Pia H. Smedsrud, et al.
Publicado em: (2021-05-01) -
Real-time polyp detection, localization and segmentation in colonoscopy using deep learning
Por: Jha, D, et al.
Publicado em: (2021) -
FANet: a feedback attention network for improved biomedical image segmentation
Por: Tomar, NK, et al.
Publicado em: (2022) -
Impact of Image Resolution on Deep Learning Performance in Endoscopy Image Classification: An Experimental Study Using a Large Dataset of Endoscopic Images
Por: Vajira Thambawita, et al.
Publicado em: (2021-11-01) -
AI-Based Video Clipping of Soccer Events
Por: Joakim Olav Valand, et al.
Publicado em: (2021-12-01)