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1 Ergebnisse
1
Performance Analysis of Feature Extraction and Deep Learnin..:
, In:
2024 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI)
,
Kumaraswamy, Eelandula
;
Kumar, Sumit
;
Sharma, Shallu
- p. 1-7 , 2024
Link:
https://doi.org/10.1109/IATMSI60426.2024.10502483
RT T1 <cTitle>2024 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI)</cTitle>: T1 <Title>Performance Analysis of Feature Extraction and Deep Learning Approaches on Whole and Segmented Histopathological Images for Cancer Grade Classification</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10502483&Exemplar=1&LAN=DE A1 Kumaraswamy, Eelandula A1 Kumar, Sumit A1 Sharma, Shallu YR 2024 K1 Deep learning K1 Image segmentation K1 Technological innovation K1 Histopathology K1 Pipelines K1 Watersheds K1 Feature extraction K1 Histopathological images K1 Breast cancer K1 Segmentation K1 Convolutional neural networks K1 Computer aided design SP 1 OP 7 LK http://dx.doi.org/https://doi.org/10.1109/IATMSI60426.2024.10502483 DO https://doi.org/10.1109/IATMSI60426.2024.10502483 SF ELIB - SuUB Bremen
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