The Application of Deep Convolutional Neural Networks to Brain Cancer Images: A Survey
In recent years, improved deep learning techniques have been applied to biomedical image processing for the classification and segmentation of different tumors based on magnetic resonance imaging (MRI) and histopathological imaging (H&E) clinical information. Deep Convolutional Neural Networks (...
Main Authors: | Amin Zadeh Shirazi, Eric Fornaciari, Mark D. McDonnell, Mahdi Yaghoobi, Yesenia Cevallos, Luis Tello-Oquendo, Deysi Inca, Guillermo A. Gomez |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-11-01
|
Series: | Journal of Personalized Medicine |
Subjects: | |
Online Access: | https://www.mdpi.com/2075-4426/10/4/224 |
Similar Items
-
Bearing defect size assessment using wavelet transform based Deep Convolutional Neural Network (DCNN)
by: Anil Kumar, et al.
Published: (2020-04-01) -
Crowd Monitoring and Localization Using Deep Convolutional Neural Network: A Review
by: Akbar Khan, et al.
Published: (2020-07-01) -
An Adoptive Threshold-Based Multi-Level Deep Convolutional Neural Network for Glaucoma Eye Disease Detection and Classification
by: Muhammad Aamir, et al.
Published: (2020-08-01) -
An Enhanced Deep Convolutional Neural Network for Classifying Indian Classical Dance Forms
by: Nikita Jain, et al.
Published: (2021-07-01) -
Automated Detection, Segmentation, and Classification of Pericardial Effusions on Chest CT Using a Deep Convolutional Neural Network
by: Bremerich, J., et al.
Published: (2022)