Skin lesion segmentation in dermoscopy images via deep full resolution convolutional networks
- DOI
- 10.1016/j.cmpb.2018.05.027
- Published
- 2018-08
- Container
- Computer Methods and Programs in Biomedicine
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.cmpb.2018.05.027,
title = {Skin lesion segmentation in dermoscopy images via deep full resolution convolutional networks},
author = {Mohammed A. Al-masni and Mugahed A. Al-antari and Mun-Taek Choi and Seung-Moo Han and Tae-Seong Kim},
year = {2018},
journal = {Computer Methods and Programs in Biomedicine},
doi = {10.1016/j.cmpb.2018.05.027},
url = {https://doi.org/10.1016/j.cmpb.2018.05.027}
}RIS
TY - JOUR TI - Skin lesion segmentation in dermoscopy images via deep full resolution convolutional networks AU - Mohammed A. Al-masni AU - Mugahed A. Al-antari AU - Mun-Taek Choi AU - Seung-Moo Han AU - Tae-Seong Kim PY - 2018 JO - Computer Methods and Programs in Biomedicine DO - 10.1016/j.cmpb.2018.05.027 UR - https://doi.org/10.1016/j.cmpb.2018.05.027 ER -
APA
Al-masni, M. A., Al-antari, M. A., Choi, M., Han, S., & Kim, T. (2018). Skin lesion segmentation in dermoscopy images via deep full resolution convolutional networks. Computer Methods and Programs in Biomedicine. https://doi.org/10.1016/j.cmpb.2018.05.027
Source records
- crossref · retrieved 2026-09-25T00:52:53.314Z