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1 Ergebnisse
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Quantitative Analysis of Benign and Malignant Tumors in His..:
Subrata Bhattacharjee
;
Hyeon-Gyun Park
;
Cho-Hee Kim
...
https://www.mdpi.com/2076-3417/9/15/2969. , 2019
Link:
https://doi.org/10.3390/app9152969
RT Journal T1
Quantitative Analysis of Benign and Malignant Tumors in Histopathology: Predicting Prostate Cancer Grading Using SVM
UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:fe131b20e667415bb4a9b3e4b3ef0647&Exemplar=1&LAN=DE A1 Subrata Bhattacharjee A1 Hyeon-Gyun Park A1 Cho-Hee Kim A1 Deekshitha Prakash A1 Nuwan Madusanka A1 Jae-Hong So A1 Nam-Hoon Cho A1 Heung-Kook Choi PB MDPI AG YR 2019 K1 prostate cancer K1 histopathology K1 microscopic K1 tissue image K1 segmentation K1 morphological K1 quantitative K1 classification K1 SVM K1 Technology K1 T K1 Engineering (General). Civil engineering (General) K1 TA1-2040 K1 Biology (General) K1 QH301-705.5 K1 Physics K1 QC1-999 K1 Chemistry K1 QD1-999 JF https://www.mdpi.com/2076-3417/9/15/2969 LK http://dx.doi.org/https://doi.org/10.3390/app9152969 DO https://doi.org/10.3390/app9152969 SF ELIB - SuUB Bremen
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