Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge by Ali, S, Ghatwary, N, Jha, D, Isik-Polat, E, Polat, G, Yang, C, Li, W, Galdran, A, Ballester, M-ÁG, Thambawita, V, Hicks, S, Poudel, S, Lee, S-W, Jin, Z, Gan, T, Yu, C, Yan, J, Yeo, D, Lee, H, Tomar, NK, Haithami, M, Ahmed, A, Riegler, MA, Daul, C, Halvorsen, P, Rittscher, J, Salem, OE, Lamarque, D, Cannizzaro, R, Realdon, S, de Lange, T, East, JE

Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge by Ali, S, Ghatwary, N, Jha, D, Isik-Polat, E, Polat, G, Yang, C, Li, W, Galdran, A, Ballester, M-ÁG, Thambawita, V, Hicks, S, Poudel, S, Lee, S-W, Jin, Z, Gan, T, Yu, C, Yan, J, Yeo, D, Lee, H, Tomar, NK, Haithmi, M, Ahmed, A, Riegler, MA, Daul, C, Halvorsen, P, Rittscher, J, Salem, OE, Lamarque, D, Cannizzaro, R, Realdon, S, Lange, TD, East, JE

Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy by Ali, S, Dmitrieva, M, Ghatwary, N, Bano, S, Polat, G, Temizel, A, Krenzer, A, Hekalo, A, Guo, YB, Matuszewski, B, Gridach, M, Voiculescu, I, Yoganand, V, Chavan, A, Raj, A, Nguyen, NT, Tran, DQ, Huyanh, LD, Boutry, N, Rezvy, S, Chen, H, Choi, YH, Subramanian, A, Balasubramanian, V, Gao, XW, Hu, H, Liao, Y, Stoyanov, D, Dual, C, Realdon, S, Cannizzaro, R, Lamarque, D, Tran-Nguyen, T, Bailey, A, Braden, B, East, JE, Rittscher, J