Brain MRI Image Classification for Cancer Detection Using Deep Wavelet Autoencoder-Based Deep Neural Network
Technology and the rapid growth in the area of brain imaging technologies have forever made for a pivotal role in analyzing and focusing the new views of brain anatomy and functions. The mechanism of image processing has widespread usage in the area of medical science for improving the early detecti...
Main Authors: | Pradeep Kumar Mallick, Seuc Ho Ryu, Sandeep Kumar Satapathy, Shruti Mishra, Gia Nhu Nguyen, Prayag Tiwari |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2019-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8667628/ |
Similar Items
-
Secure Image Reconstruction using Deep Learning-based Autoencoder with Integrated Encryption Layers
by: Wurood Abd Ali
Published: (2024-12-01) -
Neural Network-Based Transceiver Design for VLC System over ISI Channel
by: Lin Li, et al.
Published: (2022-03-01) -
Enhanced Network Anomaly Detection Based on Deep Neural Networks
by: Sheraz Naseer, et al.
Published: (2018-01-01) -
EEG-Based Emotion Classification Using a Deep Neural Network and Sparse Autoencoder
by: Junxiu Liu, et al.
Published: (2020-09-01) -
Latent Variable Autoencoder
by: Wenjuan Han, et al.
Published: (2019-01-01)