过去一年中添加的文章，按日期排序
Improving Breast Cancer Performance in CNN by Generating Synthetic Histopathological Images using GAN and Traditional Augmentation
M Shah Azizie Abd Karim… - International Journal of …, 2024 - journals.uob.edu.bh
46 天前 - … , empowers CNN models to identify cancerous conditions accurately. This research
signifies a significant step towards enhancing breast cancer classification … transfer learning …
signifies a significant step towards enhancing breast cancer classification … transfer learning …
Integrative Breast Cancer Detection: A Deep Learning Approach with Multi-Modal Data Fusion of Mammograms, Prescription and Blood Reports
M Mahalakshmi, GR Charan… - … , Computing and Internet …, 2024 - ieeexplore.ieee.org
73 天前 - … to detect breast cancer at its earliest stages and empower … In essence, "Integrative
Breast Cancer Detection" … capacity for learning, we implement transfer learning methods, …
Breast Cancer Detection" … capacity for learning, we implement transfer learning methods, …
[PDF][PDF] Optimizing Breast Cancer Detection: Deep Transfer Learning Empowered by SVM Classifiers
116 天前 - … The study demonstrated an AUC of 0.944 and a classification accuracy of 87.44% …
potential of deep transfer learning and SVM classifiers for accurate breast cancer detection in …
potential of deep transfer learning and SVM classifiers for accurate breast cancer detection in …
Privacy-Preserving Breast Cancer Classification: A Federated Transfer Learning Approach
G Dharani Devi, RV, J Jeyalakshmi - Journal of Imaging Informatics in …, 2024 - Springer
120 天前 - … , an emerging privacy-preserving paradigm, empowers multiple medical institutions
to jointly train the global model while maintaining data decentralization. Our proposed …
to jointly train the global model while maintaining data decentralization. Our proposed …
Privacy-Preserving Breast Cancer Classification: A Federated Transfer Learning Approach
S Selvakanmani, GD Devi, V Rekha… - Journal of imaging …, 2024 - pubmed.ncbi.nlm.nih.gov
121 天前 - … Federated learning, an emerging privacy-preserving paradigm, empowers multiple
… By fine-tuning the higher layers of ResNet using breast cancer datasets from diverse …
… By fine-tuning the higher layers of ResNet using breast cancer datasets from diverse …
Privacy-Preserving Breast Cancer Classification: A Federated Transfer Learning Approach.
J Jeyalakshmi - Journal of Imaging Informatics in Medicine, 2024 - europepmc.org
121 天前 - … Federated learning, an emerging privacy-preserving paradigm, empowers multiple
… By fine-tuning the higher layers of ResNet using breast cancer datasets from diverse …
… By fine-tuning the higher layers of ResNet using breast cancer datasets from diverse …
Artificial Intelligence in Ovarian Digital Pathology
KE Allen, P Adusumilli, J Breen, G Hall… - Pathology of the Ovary …, 2024 - Springer
126 天前 - … see AI play a role in empowering them as an adjunct capable … from studies focusing
on breast cancer since establishing a … for weakly-supervised transfer learning. Du and co-…
on breast cancer since establishing a … for weakly-supervised transfer learning. Du and co-…
Empowering Early Diagnosis: Optimizers Revolutionizing Breast Cancer Detection with DenseNet
241 天前 - … based breast cancer detection model was trained on BreakHis dataset using transfer
learning … Conclusion In conclusion, this study demonstrates the potential of pre-trained DL …
learning … Conclusion In conclusion, this study demonstrates the potential of pre-trained DL …