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

<p dir="ltr">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...

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Bibliographic Details
Main Author:	Rajendra Babu Chikkala (22330876) (author)
Other Authors:	Chinta Anuradha (22330879) (author), Patnala S. R. Chandra Murty (22330882) (author), S. Rajeswari (3040605) (author), N. Rajeswaran (12558172) (author), M. Murugappan (18842221) (author), Muhammad E. H. Chowdhury (14150526) (author)
Published:	2025
Subjects:	Biomedical and clinical sciences Oncology and carcinogenesis Information and computing sciences Machine learning Breast cancer BRNN GRU CNN ResNet FLOP Adagrad optimization algorithm Deep learning Accuracy Transfer learning Medical diagnostic imaging Feature extraction Image analysis Solid modeling Computational modeling Collaboration
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Enhancing Breast Cancer Diagnosis With Bidirectional Recurrent Neural Networks: A Novel Approach for Histopathological Image Multi-Classification

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