Exploring Edge-Based Segmentation Towards Automated Skin Lesion Diagnosis
Automated medical diagnosis has many potentials and benefits to support healthcare. Therefore, there is growing number of research on this topic. There are many challenges before automated medical diagnosis is accepted by the healthcare industry and the public as a tool to facilitate healthcare prof...
Saved in:
Main Authors: | Lau, Hui Keng, Chang, Jia Woei, Norhayati Daut, Asni Tahir, Erdah Samino, Mohd Hanafi Bin Ahmad Hijazi |
---|---|
Format: | Article |
Language: | English |
Published: |
American Scientific Publishers
2018
|
Subjects: | |
Online Access: | https://eprints.ums.edu.my/id/eprint/23879/1/Exploring%20Edge-Based%20Segmentation%20Towards%20Automated%20Skin%20Lesion%20Diagnosis.pdf https://eprints.ums.edu.my/id/eprint/23879/ https://doi.org/10.1166/asl.2018.10694 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Breaking bad news of cancer diagnosis – Perception of the
cancer patients in a rural community in Malaysia
by: Bain, Mathew Gabriel, et al.
Published: (2014) -
Classification for breast cancer diagnosis using adaboost
by: Lih Heng, Chan, et al.
Published: (2007) -
The Role of Non-Contrast CT in the Diagnosis of a Rare Cause of Small Bowel Obstruction Due to Bezoar
by: Koa, Ai Jiun, et al.
Published: (2023) -
Automated trisomy 21 assessment based on maternal serum markers using trivariate lognormal distribution
by: Lai, Khin Wee, et al.
Published: (2010) -
Hoarsness in child : a missed diagnosis
by: Salman, Amiruddin, et al.
Published: (2019)