Federated learning-based detection of invasive carcinoma of no special type with histopathological images

HIGHLIGHTS

• who: Bless Lord Y. Agbley et al. from the School of Computer Science and Engineering, University of Electronic Science and Technology of China have published the research work: Federated Learning-Based Detection of Invasive Carcinoma of No Special Type with Histopathological Images, in the Journal: Diagnostics 2022, 12, 1669. of 26/05/2022
• what: This paper proposes an approach that leverages learning (FL) to securely train mathematical models over multiple clients with local IC-NST images partitioned from the breast histopathology image (BHI) dataset to obtain a global model. The models show good generalization by . . .
  

   

  

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