Lung nodule detection from chest X-ray images using interval type-2 fuzzy logic system
© 2018 IEEE. Lung nodule detection is a crucial task in lung cancer examination since early detection may lead to more successful treatment. In this work, a novel lung nodule detection algorithm based upon the interval type-2 fuzzy logic system is proposed. The method utilizes four features consisti...
Saved in:
Main Authors: | Kornkamon Suttitanawat, Apinun Uppanun, Sansanee Auephanwiriyakul, Nipon Theera-Umpon, Patiwet Wuttisarnwattana |
---|---|
Format: | Conference Proceeding |
Published: |
2019
|
Subjects: | |
Online Access: | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85065023881&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/65459 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Chiang Mai University |
Similar Items
-
Microcalcification detection in mammograms using interval type-2 fuzzy logic system
by: Sutasinee Thovutikul, et al.
Published: (2018) -
Microcalcification detection in mammograms using interval type-2 fuzzy logic system with automatic membership function generation
by: Suraphon Chumklin, et al.
Published: (2018) -
Microcalcification detection in mammograms using interval type-2 fuzzy logic system with automatic membership function generation
by: Chumklin S., et al.
Published: (2014) -
Messages from the technical program chairs
by: Nipon Theera-Umpon, et al.
Published: (2018) -
Ulcerated yellow-brown nodules on the chest
by: Ren, Yong Kang, et al.
Published: (2022)