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1
A hybrid CNN-FC approach for automatic grading of brain tum..:
, In:
2024 Seventh International Women in Data Science Conference at Prince Sultan University (WiDS PSU)
,
B, Divya
;
Nair, Rajesh Parameshwaran
;
K, Prakashini
... - p. 99-104 , 2024
Link:
https://doi.org/10.1109/WiDS-PSU61003.2024.00033
RT T1 <cTitle>2024 Seventh International Women in Data Science Conference at Prince Sultan University (WiDS PSU)</cTitle>: T1 <Title>A hybrid CNN-FC approach for automatic grading of brain tumors from non-invasive MRIs</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10571890&Exemplar=1&LAN=DE A1 B, Divya A1 Nair, Rajesh Parameshwaran A1 K, Prakashini A1 R, Girish Menon A1 Litvak, Paul A1 Mandava, Pitchaiah A1 Vijayasenan, Deepu A1 S, Sumam David YR 2024 K1 Accuracy K1 Hospitals K1 Magnetic resonance imaging K1 Sociology K1 Surgery K1 Brain modeling K1 Feature extraction K1 Brain tumor substructures K1 parallel CNN layers K1 fully connected layers K1 feature merging through multiplication K1 non-invasive MRIs K1 tumor grading SP 99 OP 104 LK http://dx.doi.org/https://doi.org/10.1109/WiDS-PSU61003.2024.00033 DO https://doi.org/10.1109/WiDS-PSU61003.2024.00033 SF ELIB - SuUB Bremen
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