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Kaggle Inc dl-based xception model
Comparison of state-of-the-art studies on breast cancer detection and federated learning.
Dl Based Xception Model, supplied by Kaggle Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/dl-based xception model/product/Kaggle Inc
Average 90 stars, based on 1 article reviews
dl-based xception model - by Bioz Stars, 2026-05
90/100 stars

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1) Product Images from "A Federated Learning Approach to Breast Cancer Prediction in a Collaborative Learning Framework"

Article Title: A Federated Learning Approach to Breast Cancer Prediction in a Collaborative Learning Framework

Journal: Healthcare

doi: 10.3390/healthcare11243185

Comparison of state-of-the-art studies on breast cancer detection and federated learning.
Figure Legend Snippet: Comparison of state-of-the-art studies on breast cancer detection and federated learning.

Techniques Used: Comparison, Diagnostic Assay, Histopathology



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Kaggle Inc dl-based xception model
Comparison of state-of-the-art studies on breast cancer detection and federated learning.
Dl Based Xception Model, supplied by Kaggle Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/dl-based xception model/product/Kaggle Inc
Average 90 stars, based on 1 article reviews
dl-based xception model - by Bioz Stars, 2026-05
90/100 stars
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Comparison of state-of-the-art studies on breast cancer detection and federated learning.

Journal: Healthcare

Article Title: A Federated Learning Approach to Breast Cancer Prediction in a Collaborative Learning Framework

doi: 10.3390/healthcare11243185

Figure Lengend Snippet: Comparison of state-of-the-art studies on breast cancer detection and federated learning.

Article Snippet: [ ] , DL-based Xception model , Kaggle dataset , Model exhibited proficiency in breast cancer detection , Increased processing time not discussed.

Techniques: Comparison, Diagnostic Assay, Histopathology