An overview of analysis of medical images using data visualization and deep learning applications
Regarding the importance of the right diagnosis in medical applications, various methods have been exploited for processing medical images. Machine Learning(ML)techniques have shown their unique capabilities in the field of medical image processing and segmentation.In recent yea...
Saved in:
Main Authors: | , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Forest Chemicals Review
2022
|
Online Access: | http://eprints.utem.edu.my/id/eprint/26296/2/AN%20OVERVIEW%20OF%20ANALYSIS%20OF%20MEDICAL%20IMAGES%20USING%20DATA%20VISUALIZATION%20AND%20DEEP%20LEARNING%20APPLICATIONS.PDF http://eprints.utem.edu.my/id/eprint/26296/ http://www.forestchemicalsreview.com/index.php/JFCR/article/view/1089/1023 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
my.utem.eprints.26296 |
---|---|
record_format |
eprints |
spelling |
my.utem.eprints.262962023-03-03T16:04:53Z http://eprints.utem.edu.my/id/eprint/26296/ An overview of analysis of medical images using data visualization and deep learning applications Yajie Zhang Abd Yusof, Noor Fazilla Ngo, Hea Choon Haiping Lin Yifan Zhang Xiaohan Wang Regarding the importance of the right diagnosis in medical applications, various methods have been exploited for processing medical images. Machine Learning(ML)techniques have shown their unique capabilities in the field of medical image processing and segmentation.In recent years, efforts have been made to develop more accurate and efficient ML methodology for segmenting medical and natural images. Various automatic segmentation tools exist, but deep learning (DL)-based methods have proven to be much more accurate in various medical image segmentation tasks in recent years. Recent decades have seen DL achieve unprecedented success across various domains, including images, text, and speech. It also has been successfully implemented in medical image classification using DL methodology. This work focuses on the important role of DL in medical image segmentation, classification, and recognition, which will inspire the further use of DL in the field of medical images analysis and diagnosis. Forest Chemicals Review 2022-05 Article PeerReviewed text en http://eprints.utem.edu.my/id/eprint/26296/2/AN%20OVERVIEW%20OF%20ANALYSIS%20OF%20MEDICAL%20IMAGES%20USING%20DATA%20VISUALIZATION%20AND%20DEEP%20LEARNING%20APPLICATIONS.PDF Yajie Zhang and Abd Yusof, Noor Fazilla and Ngo, Hea Choon and Haiping Lin and Yifan Zhang and Xiaohan Wang (2022) An overview of analysis of medical images using data visualization and deep learning applications. Forest Chemicals Review, -. pp. 2321-2332. ISSN 1520-0191 http://www.forestchemicalsreview.com/index.php/JFCR/article/view/1089/1023 |
institution |
Universiti Teknikal Malaysia Melaka |
building |
UTEM Library |
collection |
Institutional Repository |
continent |
Asia |
country |
Malaysia |
content_provider |
Universiti Teknikal Malaysia Melaka |
content_source |
UTEM Institutional Repository |
url_provider |
http://eprints.utem.edu.my/ |
language |
English |
description |
Regarding the importance of the right diagnosis in medical applications, various methods have been exploited for processing medical images. Machine Learning(ML)techniques have shown their unique capabilities in the field of medical image processing and segmentation.In recent years, efforts have been made to develop more accurate and efficient ML methodology for segmenting medical and natural images. Various automatic segmentation tools exist, but deep learning (DL)-based methods have proven to be much more accurate in various medical image segmentation tasks in recent years. Recent decades have seen DL achieve unprecedented success across various domains, including images, text, and speech. It also has been successfully implemented in medical image classification using DL methodology. This work focuses on the important role of DL in medical image segmentation, classification, and recognition, which will inspire the further use of DL in the field of medical images analysis and diagnosis. |
format |
Article |
author |
Yajie Zhang Abd Yusof, Noor Fazilla Ngo, Hea Choon Haiping Lin Yifan Zhang Xiaohan Wang |
spellingShingle |
Yajie Zhang Abd Yusof, Noor Fazilla Ngo, Hea Choon Haiping Lin Yifan Zhang Xiaohan Wang An overview of analysis of medical images using data visualization and deep learning applications |
author_facet |
Yajie Zhang Abd Yusof, Noor Fazilla Ngo, Hea Choon Haiping Lin Yifan Zhang Xiaohan Wang |
author_sort |
Yajie Zhang |
title |
An overview of analysis of medical images using data visualization and deep learning applications |
title_short |
An overview of analysis of medical images using data visualization and deep learning applications |
title_full |
An overview of analysis of medical images using data visualization and deep learning applications |
title_fullStr |
An overview of analysis of medical images using data visualization and deep learning applications |
title_full_unstemmed |
An overview of analysis of medical images using data visualization and deep learning applications |
title_sort |
overview of analysis of medical images using data visualization and deep learning applications |
publisher |
Forest Chemicals Review |
publishDate |
2022 |
url |
http://eprints.utem.edu.my/id/eprint/26296/2/AN%20OVERVIEW%20OF%20ANALYSIS%20OF%20MEDICAL%20IMAGES%20USING%20DATA%20VISUALIZATION%20AND%20DEEP%20LEARNING%20APPLICATIONS.PDF http://eprints.utem.edu.my/id/eprint/26296/ http://www.forestchemicalsreview.com/index.php/JFCR/article/view/1089/1023 |
_version_ |
1759693063959085056 |
score |
13.211869 |