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...

Full description

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/

Internet

https://ieeexplore.ieee.org/document/9265246/

Similar Items