An Evolutionary DenseRes Deep Convolutional Neural Network for Medical Image Segmentation

The performance of a Convolutional Neural Network (CNN) highly depends on its architecture and corresponding parameters. Manually designing a CNN is a time-consuming process in regards to the various layers that it can have, and the variety of parameters that must be set up. Increasing the complexit...

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Bibliografiske detaljer

Principais autores:	Tahereh Hassanzadeh, Daryl Essam, Ruhul Sarker
Format:	Artigo
Sprog:	Inglês
Udgivet:	IEEE 2020-01-01
Serier:	IEEE Access
Fag:	Convolutional neural network Dense Network evolutionary computation Residual Network medical image segmentation
Online adgang:	https://ieeexplore.ieee.org/document/9265246/
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