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...
المؤلفون الرئيسيون: | 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 |
---|---|
التنسيق: | Journal article |
اللغة: | English |
منشور في: |
Elsevier
2021
|
مواد مشابهة
-
Kvasir-Capsule, a video capsule endoscopy dataset
حسب: Pia H. Smedsrud, وآخرون
منشور في: (2021-05-01) -
Real-time polyp detection, localization and segmentation in colonoscopy using deep learning
حسب: Jha, D, وآخرون
منشور في: (2021) -
FANet: a feedback attention network for improved biomedical image segmentation
حسب: Tomar, NK, وآخرون
منشور في: (2022) -
Impact of Image Resolution on Deep Learning Performance in Endoscopy Image Classification: An Experimental Study Using a Large Dataset of Endoscopic Images
حسب: Vajira Thambawita, وآخرون
منشور في: (2021-11-01) -
AI-Based Video Clipping of Soccer Events
حسب: Joakim Olav Valand, وآخرون
منشور في: (2021-12-01)