Enhancing Breast Cancer Diagnosis With Bidirectional Recurrent Neural Networks: A Novel Approach for Histopathological Image Multi-Classification

Enhancing Breast Cancer Diagnosis With Bidirectional Recurrent Neural Networks: A Novel Approach for Histopathological Image Multi-Classification

In recent years, deep learning methods have dramatically improved medical image analysis, though earlier models faced difficulties in capturing intricate spatial and contextual details. These challenges highlighted the necessity for more powerful and flexible models. In this study, we introduce an i...

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Bibliografiska uppgifter
Huvudupphovsmän: Rajendra Babu Chikkala, Chinta Anuradha, Patnala S. R. Chandra Murty, S. Rajeswari, N. Rajeswaran, M. Murugappan, Muhammad E. H. Chowdhury
Materialtyp: Artikel
Språk:English
Publicerad: IEEE 2025-01-01
Serie:IEEE Access
Ämnen:
Breast cancer
BRNN
GRU
CNN
ResNet
FLOP
Länkar:https://ieeexplore.ieee.org/document/10891589/

Internet

https://ieeexplore.ieee.org/document/10891589/

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