Histopathology Breast Cancer Classification Using CNN

Author:

Venkateshwara Rao M.,Saturi Rajesh,Srinivas Goud D.,Srikanth Reddy G.,Venkatesh N.

Publisher

Springer Nature Singapore

Reference24 articles.

1. Saturi R, Parvataneni PC (2022) Histopathology breast cancer detection and classification using optimized superpixel clustering algorithm and support vector machine. Received: 22 Mar 2021. Accepted: 6 Apr 2022 The Institution of Engineers (India) 2022

2. Saturi R, Chand PP, A Novel variant optimized search algorithm for nuclei cell detection in histopathogy breast cancer images. Department of CSE, University College of Engineering, Osmania University, India

3. Saturi R, Implement an efficient segmentation method to overcome the issues of overlapping by segmenting the histopathological images of cancer by Research Scholar. Department of Computer Science & Engineering, University College of Engineering

4. Rezk E et al (2017) Conceptual data sampling for breast cancer histology image classification. Comput Biol Med 89:59–67

5. Saturi R, Premchand P, Multi-objective feature selection method by using ACO with PSO algorithm for breast cancer detection. Department of Computer Science and Engineering, University College of Engineering, Osmania University, India

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1. Revolutionizing Breast Cancer Diagnosis: Insights from KNN and SVM Models in Machine Learning;2024 5th International Conference for Emerging Technology (INCET);2024-05-24

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