Automated hair removal in dermoscopy images using shallow and deep learning neural architectures
Removing hair from digital dermoscopy images is occasionally a necessary step before further analysis is applied to the images. This work considers two machine learning approaches that segment the hair pixels from dermoscopy images. Subsequently, morphological post-processing is applied to refine th...
Main Authors: | Konstantinos Delibasis, Konstantinos Moutselos, Eleftheria Vorgiazidou, Ilias Maglogiannis |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2023-01-01
|
Series: | Computer Methods and Programs in Biomedicine Update |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2666990023000186 |
Similar Items
-
Cascaded Hough Transform-Based Hair Mask Generation and Harmonic Inpainting for Automated Hair Removal from Dermoscopy Images
by: Amira S. Ashour, et al.
Published: (2022-12-01) -
Monilethrix: A report of three cases in children confirmed with dermoscopy
by: Remya R Rajamohanan, et al.
Published: (2020-01-01) -
Monilethrix: A rare case diagnosed by dermoscopy
by: Aditya Rajendra Holani, et al.
Published: (2020-01-01) -
Dermoscopy of annular elastolytic giant cell granuloma
by: Tiago Fernandes Gomes, et al.
Published: (2022-11-01) -
Can dermoscopy serve as a diagnostic tool in dermatophytosis? A pilot study
by: Yasmeen Jabeen Bhat, et al.
Published: (2019-01-01)