Le’Clerc Arrastia, J.; Heilenkötter, N.; Otero Baguer, D.; Hauberg-Lotte, L.; Boskamp, T.; Hetzer, S.; Duschner, N.; Schaller, J.; Maass, P.
Deeply Supervised UNet for Semantic Segmentation to Assist Dermatopathological Assessment of Basal Cell Carcinoma. J. Imaging 2021, 7, 71.
https://doi.org/10.3390/jimaging7040071
AMA Style
Le’Clerc Arrastia J, Heilenkötter N, Otero Baguer D, Hauberg-Lotte L, Boskamp T, Hetzer S, Duschner N, Schaller J, Maass P.
Deeply Supervised UNet for Semantic Segmentation to Assist Dermatopathological Assessment of Basal Cell Carcinoma. Journal of Imaging. 2021; 7(4):71.
https://doi.org/10.3390/jimaging7040071
Chicago/Turabian Style
Le’Clerc Arrastia, Jean, Nick Heilenkötter, Daniel Otero Baguer, Lena Hauberg-Lotte, Tobias Boskamp, Sonja Hetzer, Nicole Duschner, Jörg Schaller, and Peter Maass.
2021. "Deeply Supervised UNet for Semantic Segmentation to Assist Dermatopathological Assessment of Basal Cell Carcinoma" Journal of Imaging 7, no. 4: 71.
https://doi.org/10.3390/jimaging7040071
APA Style
Le’Clerc Arrastia, J., Heilenkötter, N., Otero Baguer, D., Hauberg-Lotte, L., Boskamp, T., Hetzer, S., Duschner, N., Schaller, J., & Maass, P.
(2021). Deeply Supervised UNet for Semantic Segmentation to Assist Dermatopathological Assessment of Basal Cell Carcinoma. Journal of Imaging, 7(4), 71.
https://doi.org/10.3390/jimaging7040071