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The histological diagnosis of breast cancer by employing sc..:
, In:
Proceedings of the 14th IEEE/ACM International Conference on Utility and Cloud Computing Companion
,
Bukhari, Syed Usama Khalid
;
Syed, Asmara
;
Khalid, Syed Safwan
. - p. 1-6 , 2021
Link:
https://dl.acm.org/doi/10.1145/3492323.3495596
RT T1
Proceedings of the 14th IEEE/ACM International Conference on Utility and Cloud Computing Companion
: T1
The histological diagnosis of breast cancer by employing scale invariant ResNet 18 with spatial supervised technique
UL https://suche.suub.uni-bremen.de/peid=acm-3495596&Exemplar=1&LAN=DE A1 Bukhari, Syed Usama Khalid A1 Syed, Asmara A1 Khalid, Syed Safwan A1 Shah, Syed Sajid Hussain PB ACM YR 2021 K1 artificial intelligence K1 breast carcinoma K1 histopathology K1 resnet - 18 K1 spatial supervise learning K1 Applied computing K1 Life and medical sciences K1 Consumer health SP 1 OP 6 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3492323.3495596 DO https://dl.acm.org/doi/10.1145/3492323.3495596 SF ELIB - SuUB Bremen
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