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DMRBNet: Dilated Multi-Scale Residual Block-Based Deep Netw..:
, In:
2023 15th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)
,
Sinha, Himanshi
;
Karnati, Mohan
;
Aggarwal, Garmia
... - p. 38-43 , 2023
Link:
https://doi.org/10.1109/ICUMT61075.2023.10333297
RT T1
2023 15th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)
: T1
DMRBNet: Dilated Multi-Scale Residual Block-Based Deep Network for Detection of Breast Cancer from MRI Images
UL https://suche.suub.uni-bremen.de/peid=ieee-10333297&Exemplar=1&LAN=DE A1 Sinha, Himanshi A1 Karnati, Mohan A1 Aggarwal, Garmia A1 Dutta, Malay Kishore A1 Mezina, Anzhelika A1 Burget, Radim YR 2023 SN 2157-023X K1 Error analysis K1 Magnetic resonance imaging K1 System performance K1 Biopsy K1 Neural networks K1 Feature extraction K1 Breast cancer K1 convolutional neural network K1 residual connection K1 MRI images K1 classification K1 multi-scale features SP 38 OP 43 LK http://dx.doi.org/https://doi.org/10.1109/ICUMT61075.2023.10333297 DO https://doi.org/10.1109/ICUMT61075.2023.10333297 SF ELIB - SuUB Bremen
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