Breast Cancer Image Multi-Classification Using Random Patch Aggregation and Depth-Wise Convolution based Deep-Net Model

Breast Cancer Image Multi-Classification Using Random Patch Aggregation and Depth-Wise Convolution based Deep-Net Model

Adapting the profound, deep convolutional neural network models for large image classification can result in the layout of network architectures with a large number of learnable parameters and tuning of those varied parameters can considerably grow the complexity of the model. To address this proble...

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Bibliographic Details
Main Authors:	Vandana Kate, Pragya Shukla
Format:	Article
Language:	English
Published:	International Association of Online Engineering (IAOE) 2021-01-01
Series:	International Journal of Online and Biomedical Engineering
Subjects:	image-multi-classification histopathology-images breast cancer(bc) feature-extraction deep-neural-networks
Online Access:	https://online-journals.org/index.php/i-joe/article/view/18513

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