Federated Learning-Based Detection of Invasive Carcinoma of No Special Type with Histopathological Images

Federated Learning-Based Detection of Invasive Carcinoma of No Special Type with Histopathological Images

Invasive carcinoma of no special type (IC-NST) is known to be one of the most prevalent kinds of breast cancer, hence the growing research interest in studying automated systems that can detect the presence of breast tumors and appropriately classify them into subtypes. Machine learning (ML) and, mo...

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Bibliographic Details
Main Authors: Bless Lord Y. Agbley, Jianping Li, Md Altab Hossin, Grace Ugochi Nneji, Jehoiada Jackson, Happy Nkanta Monday, Edidiong Christopher James
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Diagnostics
Subjects:
breast cancer
deep learning
federated learning
invasive carcinoma of no special type
whole slide images
histopathological image analysis
Online Access:https://www.mdpi.com/2075-4418/12/7/1669

Internet

https://www.mdpi.com/2075-4418/12/7/1669

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