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Yap, MH 
ORCID: https://orcid.org/0000-0001-7681-4287
Hachiuma, R
Alavi, A
Brüngel, R
Cassidy, B ORCID: https://orcid.org/0000-0003-3741-8120
Goyal, M
Zhu, H
et al.
ORCID: https://orcid.org/0000-0001-7681-4287
Hachiuma, R
Alavi, A
Brüngel, R
Cassidy, B ORCID: https://orcid.org/0000-0003-3741-8120
Goyal, M
Zhu, H
et al.
Yap, MH ORCID: https://orcid.org/0000-0001-7681-4287, Hachiuma, R, Alavi, A, Brüngel, R, Cassidy, B ORCID: https://orcid.org/0000-0003-3741-8120, Goyal, M, Zhu, H, Rückert, J, Olshansky, M, Huang, X, Saito, H, Hassanpour, S, Friedrich, CM, Ascher, DB, Song, A, Kajita, H, Gillespie, D ORCID: https://orcid.org/0000-0002-3783-9454, Reeves, ND ORCID: https://orcid.org/0000-0001-9213-4580, Pappachan, JM, O'Shea, C and Frank, E
(2021)
Deep learning in diabetic foot ulcers detection: A comprehensive evaluation.
Computers in Biology and Medicine, 135.
ISSN 0010-4825
ORCID: https://orcid.org/0000-0001-7681-4287, Hachiuma, R, Alavi, A, Brüngel, R, Cassidy, B ORCID: https://orcid.org/0000-0003-3741-8120, Goyal, M, Zhu, H, Rückert, J, Olshansky, M, Huang, X, Saito, H, Hassanpour, S, Friedrich, CM, Ascher, DB, Song, A, Kajita, H, Gillespie, D ORCID: https://orcid.org/0000-0002-3783-9454, Reeves, ND ORCID: https://orcid.org/0000-0001-9213-4580, Pappachan, JM, O'Shea, C and Frank, E