Medical Images Segmentation Based on Unsupervised Algorithms: A Review
Medical image segmentation plays an essential role in computer-aided diagnostic systems in various applications. Therefore, researchers are attracted to apply new algorithms for medical image processing because it is a massive investment in developing medical imaging methods such as dermatoscopy, X...
Saved in:
Main Authors: | Revella E. A. Armya, Adnan Mohsin Abdulazeez |
---|---|
Format: | Article |
Language: | English |
Published: |
Qubahan
2021-04-01
|
Series: | Qubahan Academic Journal |
Subjects: | |
Online Access: | https://journal.qubahan.com/index.php/qaj/article/view/51 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Big Data Analytics: A Tutorial of Some Clustering Techniques
by: Said Baadel
Published: (2021-09-01) -
Classification of Melanoma and Nevus in Digital Images for Diagnosis of Skin Cancer
by: Muhammad Qasim Khan, et al.
Published: (2019-01-01) -
Drone detection method based on K-Medoids to extract channel state characteristics
by: SONG Lingyu, et al.
Published: (2025-01-01) -
Gaze Assistance for Efficient Segmentation Correction of Medical Images
by: Leila Khaertdinova, et al.
Published: (2025-01-01) -
User Segmentation Based on Purchasing Habits and Preferences on the Amazon Platform Using K-Means Clustering
by: Al Isra Denk Rimakka, et al.
Published: (2023-12-01)