Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | Photonics in Dermatology and Plastic Surgery 2023 |
| Herausgeber/-innen | Bernard Choi, Haishan Zeng |
| Herausgeber (Verlag) | SPIE |
| ISBN (elektronisch) | 9781510658097 |
| Publikationsstatus | Veröffentlicht - 14 März 2023 |
| Veranstaltung | Photonics in Dermatology and Plastic Surgery 2023 - San Francisco, USA / Vereinigte Staaten Dauer: 28 Jan. 2023 → 3 Feb. 2023 |
Publikationsreihe
| Name | Progress in Biomedical Optics and Imaging - Proceedings of SPIE |
|---|---|
| Band | 12352 |
| ISSN (Print) | 1605-7422 |
Abstract
We propose a method for digital hair removal from dermoscopic images that involves a new scheme for the acquisition of dermoscopic images to uncover hidden information by employing image fusion of multiple images of lesions. Classical approaches for the removal of hair from dermoscopic images are usually based on interpolation, pattern propagation or machine learning. These replace the hair pixels with calculated data aiming to reduce the impairment of the medical diagnostics. While these approaches are well established, the problem of information loss is not addressed. We show that our approach can lead to improved skin lesion assessment in dermoscopy.
ASJC Scopus Sachgebiete
- Werkstoffwissenschaften (insg.)
- Elektronische, optische und magnetische Materialien
- Physik und Astronomie (insg.)
- Atom- und Molekularphysik sowie Optik
- Werkstoffwissenschaften (insg.)
- Biomaterialien
- Medizin (insg.)
- Radiologie, Nuklearmedizin und Bildgebung
Ziele für nachhaltige Entwicklung
Zitieren
- Standard
- Harvard
- Apa
- Vancouver
- BibTex
- RIS
Photonics in Dermatology and Plastic Surgery 2023. Hrsg. / Bernard Choi; Haishan Zeng. SPIE, 2023. 1235202 (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Band 12352).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - True digital hair removal with real value inpainting for improved dermoscopy based on image fusion
AU - Jütte, Lennart
AU - Emmert, Steffen
AU - Roth, Bernhard
N1 - Funding Information: This work has been supported by iToBoS (Intelligent Total Body Scanner for Early Detection of Melanoma), project funded by the European Union’s Horizon 2020 research and innovation programme, under grant agreement No 965221. Also, financial support by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany’s Excellence Strategy within the Cluster of Excellence PhoenixD (EXC 2122, Project ID 390833453) is acknowledged.
PY - 2023/3/14
Y1 - 2023/3/14
N2 - We propose a method for digital hair removal from dermoscopic images that involves a new scheme for the acquisition of dermoscopic images to uncover hidden information by employing image fusion of multiple images of lesions. Classical approaches for the removal of hair from dermoscopic images are usually based on interpolation, pattern propagation or machine learning. These replace the hair pixels with calculated data aiming to reduce the impairment of the medical diagnostics. While these approaches are well established, the problem of information loss is not addressed. We show that our approach can lead to improved skin lesion assessment in dermoscopy.
AB - We propose a method for digital hair removal from dermoscopic images that involves a new scheme for the acquisition of dermoscopic images to uncover hidden information by employing image fusion of multiple images of lesions. Classical approaches for the removal of hair from dermoscopic images are usually based on interpolation, pattern propagation or machine learning. These replace the hair pixels with calculated data aiming to reduce the impairment of the medical diagnostics. While these approaches are well established, the problem of information loss is not addressed. We show that our approach can lead to improved skin lesion assessment in dermoscopy.
KW - digital hair removal
KW - image fusion
KW - melanoma
KW - skin cancer
UR - http://www.scopus.com/inward/record.url?scp=85159719955&partnerID=8YFLogxK
U2 - 10.1117/12.2646227
DO - 10.1117/12.2646227
M3 - Conference contribution
AN - SCOPUS:85159719955
T3 - Progress in Biomedical Optics and Imaging - Proceedings of SPIE
BT - Photonics in Dermatology and Plastic Surgery 2023
A2 - Choi, Bernard
A2 - Zeng, Haishan
PB - SPIE
T2 - Photonics in Dermatology and Plastic Surgery 2023
Y2 - 28 January 2023 through 3 February 2023
ER -