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1 Ergebnisse
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Deep learning-based research on the influence of training d..:
Chongyang Cui
;
Shangchun Fan
;
Han Lei
..
https://digital-library.theiet.org/content/journals/10.1049/joe.2018.9093. , 2019
Link:
https://doi.org/10.1049/joe.2018.9093
RT Journal T1
Deep learning-based research on the influence of training data size for breast cancer pathology detection
UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:f23398afd564478f98beef1798fdbcb9&Exemplar=1&LAN=DE A1 Chongyang Cui A1 Shangchun Fan A1 Han Lei A1 Xiaolei Qu A1 Dezhi Zheng PB Wiley YR 2019 K1 feature extraction K1 learning (artificial intelligence) K1 medical image processing K1 patient diagnosis K1 cancer K1 neural nets K1 image classification K1 training data set K1 training set K1 pathology computer-assisted breast cancer analysis system K1 different pathological images K1 training data size K1 breast cancer pathology detection K1 pathological diagnosis K1 deep learning-based computer-assisted pathology analysis systems K1 Engineering (General). Civil engineering (General) K1 TA1-2040 JF https://digital-library.theiet.org/content/journals/10.1049/joe.2018.9093 LK http://dx.doi.org/https://doi.org/10.1049/joe.2018.9093 DO https://doi.org/10.1049/joe.2018.9093 SF ELIB - SuUB Bremen
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