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

<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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