%0 Journal Article %1 journals/titb/FengXZHJCYW21 %A Feng, Ruiwei %A Xu, Zhe %A Zheng, Xiangshang %A Hu, Heping %A Jin, Xiuming %A Chen, Danny Z. %A Yao, Ke %A Wu, Jian %D 2021 %J IEEE J. Biomed. Health Informatics %K dblp %N 10 %P 3898-3910 %T KerNet: A Novel Deep Learning Approach for Keratoconus and Sub-Clinical Keratoconus Detection Based on Raw Data of the Pentacam HR System. %U http://dblp.uni-trier.de/db/journals/titb/titb25.html#FengXZHJCYW21 %V 25

@article{journals/titb/FengXZHJCYW21, added-at = {2022-03-16T00:00:00.000+0100}, author = {Feng, Ruiwei and Xu, Zhe and Zheng, Xiangshang and Hu, Heping and Jin, Xiuming and Chen, Danny Z. and Yao, Ke and Wu, Jian}, biburl = {https://www.bibsonomy.org/bibtex/2aaa7bea31d672882e8a43523e3654ea1/dblp}, ee = {https://www.wikidata.org/entity/Q108871173}, interhash = {7e05fdc089a9c97f02879d33dca1784a}, intrahash = {aaa7bea31d672882e8a43523e3654ea1}, journal = {IEEE J. Biomed. Health Informatics}, keywords = {dblp}, number = 10, pages = {3898-3910}, timestamp = {2024-04-09T04:43:52.000+0200}, title = {KerNet: A Novel Deep Learning Approach for Keratoconus and Sub-Clinical Keratoconus Detection Based on Raw Data of the Pentacam HR System.}, url = {http://dblp.uni-trier.de/db/journals/titb/titb25.html#FengXZHJCYW21}, volume = 25, year = 2021 }