Chasing a Better Decision Margin for Discriminative Histopathological Breast Cancer Image Classification

Chasing a Better Decision Margin for Discriminative Histopathological Breast Cancer Image Classification

When considering a large dataset of histopathologic breast images captured at various magnification levels, the process of distinguishing between benign and malignant cancer from these images can be time-intensive. The automation of histopathological breast cancer image classification holds signific...

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Bibliographic Details
Main Authors: Pendar Alirezazadeh, Fadi Dornaika, Abdelmalik Moujahid
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Electronics
Subjects:
BreakHis
breast cancer image classification
discriminative deep embedding
margin penalties on angular softmax losses
compactness and separability
deep learning
Online Access:https://www.mdpi.com/2079-9292/12/20/4356

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