A deep multi-branch attention model for histopathological breast cancer image classification

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: 1 Online-Ressource.

Language: Englisch

Bibliographic citation: A deep multi-branch attention model for histopathological breast cancer image classification ; volume:10 ; number:3 ; day:23 ; month:3 ; year:2024 ; pages:4571-4587 ; date:6.2024
Complex & intelligent systems ; 10, Heft 3 (23.3.2024), 4571-4587, 6.2024

Creator: Ding, Rui
Zhou, Xiaoping
Tan, Dayu
Su, Yansen
Jiang, Chao
Yu, Guo
Zheng, Chunhou

Contributor: SpringerLink (Online service)

DOI: 10.1007/s40747-024-01398-z

URN: urn:nbn:de:101:1-2407252105594.906621229909

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 10:56 AM CEST

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Ding, Rui
Zhou, Xiaoping
Tan, Dayu
Su, Yansen
Jiang, Chao
Yu, Guo
Zheng, Chunhou
SpringerLink (Online service)

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A deep multi-branch attention model for histopathological breast cancer image classification

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Other Objects (12)

Multi-branch CNN and grouping cascade attention for medical image classification

DiagSet: a dataset for prostate cancer histopathological image classification

Texture features in the Shearlet domain for histopathological image classification

Double-branch feature fusion transformer for hyperspectral image classification

Adaptive pixel attention network for hyperspectral image classification

Efficient feature selection for histopathological image classification with improved multi-objective WOA

Enhancing histopathological image classification of invasive ductal carcinoma using hybrid harmonization techniques

Region-based feature enhancement using channel-wise attention for classification of breast histopathological images

GroupFormer for hyperspectral image classification through group attention

PANet: Pluralistic Attention Network for Few-Shot Image Classification

ARA: accurate, reliable and active histopathological image classification framework with Bayesian deep learning

HCCANet: histopathological image grading of colorectal cancer using CNN based on multichannel fusion attention mechanism

Multi-branch CNN and grouping cascade attention for medical image classification

DiagSet: a dataset for prostate cancer histopathological image classification

Texture features in the Shearlet domain for histopathological image classification

Double-branch feature fusion transformer for hyperspectral image classification

Adaptive pixel attention network for hyperspectral image classification

Efficient feature selection for histopathological image classification with improved multi-objective WOA

Enhancing histopathological image classification of invasive ductal carcinoma using hybrid harmonization techniques

Region-based feature enhancement using channel-wise attention for classification of breast histopathological images

GroupFormer for hyperspectral image classification through group attention

PANet: Pluralistic Attention Network for Few-Shot Image Classification

ARA: accurate, reliable and active histopathological image classification framework with Bayesian deep learning

HCCANet: histopathological image grading of colorectal cancer using CNN based on multichannel fusion attention mechanism

Multi-branch CNN and grouping cascade attention for medical image classification

DiagSet: a dataset for prostate cancer histopathological image classification

Texture features in the Shearlet domain for histopathological image classification

Double-branch feature fusion transformer for hyperspectral image classification

Adaptive pixel attention network for hyperspectral image classification

Efficient feature selection for histopathological image classification with improved multi-objective WOA

Enhancing histopathological image classification of invasive ductal carcinoma using hybrid harmonization techniques

Region-based feature enhancement using channel-wise attention for classification of breast histopathological images

GroupFormer for hyperspectral image classification through group attention

PANet: Pluralistic Attention Network for Few-Shot Image Classification

ARA: accurate, reliable and active histopathological image classification framework with Bayesian deep learning

HCCANet: histopathological image grading of colorectal cancer using CNN based on multichannel fusion attention mechanism

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