C-Net: A reliable convolutional neural network for biomedical image classification

作者：

Highlights：

• Proposing a Novel convolutional neural network for classifying biomedical Images.

• Incorporating multiple networks as feature extractors.

• Using a wide range of evaluation metrics to ensure the model’s reliability.

• Testing the model on two different datasets in terms of size of the images, resolution, and the underlying disease.

摘要

•Proposing a Novel convolutional neural network for classifying biomedical Images.•Incorporating multiple networks as feature extractors.•Using a wide range of evaluation metrics to ensure the model’s reliability.•Testing the model on two different datasets in terms of size of the images, resolution, and the underlying disease.

论文关键词：Biomedical image classification,Deep learning,Convolutional neural network,Histopathology,Computer-aided diagnosis

论文评审过程：Received 2 February 2021, Revised 25 August 2021, Accepted 28 September 2021, Available online 2 October 2021, Version of Record 7 October 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.116003