Recent advancement in the early detection of melanoma using computerized tools: An image analysis perspective.
Adult
Awareness
Dermoscopy
/ instrumentation
Diagnosis, Computer-Assisted
/ economics
Early Detection of Cancer
/ methods
Female
Humans
Image Processing, Computer-Assisted
/ economics
Male
Melanoma
/ classification
Neoplasm Staging
/ methods
Skin
/ pathology
Skin Neoplasms
/ diagnostic imaging
Smartphone
/ instrumentation
Surveys and Questionnaires
/ standards
United Kingdom
/ epidemiology
computer-aided diagnosis
dermoscopy
lesion
melanoma
skin cancer
Journal
Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI)
ISSN: 1600-0846
Titre abrégé: Skin Res Technol
Pays: England
ID NLM: 9504453
Informations de publication
Date de publication:
Mar 2019
Mar 2019
Historique:
accepted:
23
06
2018
pubmed:
22
7
2018
medline:
14
8
2019
entrez:
22
7
2018
Statut:
ppublish
Résumé
The paper reviews the advancement of tools and current technologies for the detection of melanoma. We discussed several computational strategies from pre- to postprocessing image operations, descriptors, and popular classifiers to diagnose a suspected skin lesion based on its virtual similarity to the malignant lesion with known histopathology. We reviewed the current state of smart phone-based apps as diagnostic tools for screening. A literature survey was conducted using a combination of keywords in the bibliographic databases: PubMed, AJCC, PH2, EDRA, and ISIC melanoma project. A number of melanoma detection apps were downloaded for two major mobile operating systems, iOS and Android; their important uses, key challenges, and various expert opinions were evaluated and also discussed. We have provided an overview of research on the computer-aided diagnosis methods to estimate melanoma risk and early screening. Dermoscopic images are the most viable option for the advent of new image processing technologies based on which many of the skin cancer detection apps are being developed recently. We have categorized and explored their potential uses, evaluation criteria, limitations, and other details. Such advancements are helpful in the sense they are raising awareness. Diagnostic accuracy is the major issue of smart phone-based apps and it cannot replace an adequate clinical experience and biopsy procedures.
Sections du résumé
BACKGROUND
BACKGROUND
The paper reviews the advancement of tools and current technologies for the detection of melanoma. We discussed several computational strategies from pre- to postprocessing image operations, descriptors, and popular classifiers to diagnose a suspected skin lesion based on its virtual similarity to the malignant lesion with known histopathology. We reviewed the current state of smart phone-based apps as diagnostic tools for screening.
METHODS
METHODS
A literature survey was conducted using a combination of keywords in the bibliographic databases: PubMed, AJCC, PH2, EDRA, and ISIC melanoma project. A number of melanoma detection apps were downloaded for two major mobile operating systems, iOS and Android; their important uses, key challenges, and various expert opinions were evaluated and also discussed.
RESULTS
RESULTS
We have provided an overview of research on the computer-aided diagnosis methods to estimate melanoma risk and early screening. Dermoscopic images are the most viable option for the advent of new image processing technologies based on which many of the skin cancer detection apps are being developed recently. We have categorized and explored their potential uses, evaluation criteria, limitations, and other details.
CONCLUSION
CONCLUSIONS
Such advancements are helpful in the sense they are raising awareness. Diagnostic accuracy is the major issue of smart phone-based apps and it cannot replace an adequate clinical experience and biopsy procedures.
Types de publication
Journal Article
Review
Langues
eng
Pagination
129-141Informations de copyright
© 2018 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.