Breast cancer detection using infrared thermal imaging and a deep learning model
Women’s breasts are susceptible to developing cancer; this is supported by a recent study from 2016 showing that 2.8 million women worldwide had already been diagnosed with breast cancer that year. The medical care of a patient with breast cancer is costly and, given the cost and value of the preser...
Saved in:
Main Authors: | Mambou, Sebastien Jean, Maresova, Petra, Krejcar, Ondrej, Selamat, Ali, Kuca, Kamil |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2018
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/86379/1/AliSelamat2018_BreastCancerDetectionUsingInfrared.pdf http://eprints.utm.my/id/eprint/86379/ http://dx.doi.org/10.3390/s18092799 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Breast cancer detection using modern visual IT techniques
by: Mambou, Sebastien, et al.
Published: (2018) -
Novel thermal image classification based on techniques derived from mathematical morphology: case of breast cancer
by: Mambou, Sebastien, et al.
Published: (2020) -
Novel human action recognition in RGB-D videos based on powerful view invariant features technique
by: Mambou, Sebastien, et al.
Published: (2018) -
Novel cross-view human action model recognition based on the powerful view-invariant features technique
by: Mambou, Sebastien, et al.
Published: (2018) -
Self-detection of early breast cancer application with infrared
camera and deep learning
by: Husaini, Mohammed Abdulla Salim Al, et al.
Published: (2021)