An Evolutionary DenseRes Deep Convolutional Neural Network for Medical Image Segmentation

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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Bibliographic Details
Main Authors: Tahereh Hassanzadeh, Daryl Essam, Ruhul Sarker
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Convolutional neural network
Dense Network
evolutionary computation
Residual Network
medical image segmentation
Online Access:https://ieeexplore.ieee.org/document/9265246/

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