An innovative breast cancer detection framework using multiscale dilated densenet with attention mechanism-Reference-Cited by-同舟云学术

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An innovative breast cancer detection framework using multiscale dilated densenet with attention mechanism

Published:2024-04-22 Issue: Volume: Page:1-37
ISSN:0954-898X
Container-title:Network: Computation in Neural Systems
language:en
Short-container-title:Network: Computation in Neural Systems

Author:

Subhashini R.¹,Velswamy Rajasekar²,Sree Rathna Lakshmi N. V. S.³,Sivanandam Chakaravarthi⁴

Affiliation:

1. Department of Information Technology, Sona College of Technology, Salem, Tamil Nadu, India

2. Department of Computer Science and Engineering, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu, India

3. Department of Electronics and Communication Engineering, Agni College of Technology, Thazhambur, Tamil Nadu, India

4. Department of Computer Science and Engineering, Panimalar Engineering College, Poonamallee, Chennai, Tamil Nadu, India

Funder

no funding

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/0954898X.2024.2343348

Reference52 articles.

1. Optimization of artificial neural network structure and hyperparameters in hybrid model by genetic algorithm: iOS–android application for breast cancer diagnosis/prediction

2. Computer-aided diagnosis for breast cancer classification using deep neural networks and transfer learning

3. Dingo Optimizer: A Nature-Inspired Metaheuristic Approach for Engineering Problems

4. Improved accuracy of early stage breast cancer detection using anisotropic diffusion over Perona Malik scheme

5. Dense-UNet: a novel multiphoton in vivo cellular image segmentation model based on a convolutional neural network

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