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1 Ergebnisse
1
A BrainNet (BrN) based New Approach to Classify Brain Strok..:
, In:
2023 International Conference on Advancement in Computation & Computer Technologies (InCACCT)
,
Tripura, Dhonita
;
Haque, Imdadul
;
Dutta, Mithun
... - p. 1-6 , 2023
Link:
https://doi.org/10.1109/InCACCT57535.2023.10141780
RT T1 <cTitle>2023 International Conference on Advancement in Computation & Computer Technologies (InCACCT)</cTitle>: T1 <Title>A BrainNet (BrN) based New Approach to Classify Brain Stroke from CT Scan Images</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10141780&Exemplar=1&LAN=DE A1 Tripura, Dhonita A1 Haque, Imdadul A1 Dutta, Mithun A1 Dev, Shaikat A1 Jahan, Tanjila A1 Ghosh, Shomitro Kumar A1 Islam, Md. Ashiqul YR 2023 K1 Deep learning K1 Computational modeling K1 Support vector machine classification K1 Stroke (medical condition) K1 Brain modeling K1 Feature extraction K1 Data models K1 BrainNet K1 SVM K1 CNN K1 Hybrid Model K1 Ischemic Stroke K1 Hemorrhagic Stroke SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/InCACCT57535.2023.10141780 DO https://doi.org/10.1109/InCACCT57535.2023.10141780 SF ELIB - SuUB Bremen
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