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Implementing DEWA Framework for Early
Diagnosis of MelanomaSetiawan Hadi, Bernard Y Tumbelaka, Budi Irawan, Rudi Rosadi
Universitas Padjadjaran
Implementing DEWA Framework for Early Diagnosis of Melanoma, presented at ICCSCI 2015
AGENDA• Overview• DEWA Framework• Experiment• Result• Conclusion and future works
Implementing DEWA Framework for Early Diagnosis of Melanoma, presented at ICCSCI 2015
Overview• As one type of skin cancer, Melanoma can be considered as a deadliest
type of skin cancer. The number of people infected are increasing year by year and are geographically distributed world wide. • Computer vision researchers are interested in the automatic, vision-
based, early diagnostic system of skin cancer. By developing a such system which is easily used by non-paramedic educated person, the people can visually check their skin as initial diagnosis without supporting of formal trained or skillful people.• In this paper, a lightweight, lowcost application has been designed, based
on the previous developed, integrated computer vision and image processing algorithms, called DEWA.
Implementing DEWA Framework for Early Diagnosis of Melanoma, presented at ICCSCI 2015
Implementing DEWA Framework for Early Diagnosis of Melanoma, presented at ICCSCI 2015
Overview• As one type of skin cancer, Melanoma can be considered as a deadliest
type of skin cancer. The number of people infected are increasing year by year and are geographically distributed world wide. • Computer vision researchers are interested in the automatic, vision-
based, early diagnostic system of skin cancer. By developing a such system which is easily used by non-paramedic educated person, the people can visually check their skin as initial diagnosis without supporting of formal trained or skillful people.• In this paper, a lightweight, lowcost application has been designed, based
on the previous developed, integrated computer vision and image processing algorithms, called DEWA.
Implementing DEWA Framework for Early Diagnosis of Melanoma, presented at ICCSCI 2015
Implementing DEWA Framework for Early Diagnosis of Melanoma, presented at ICCSCI 2015
Overview• As one type of skin cancer, Melanoma can be considered as a deadliest
type of skin cancer. The number of people infected are increasing year by year and are geographically distributed world wide. • Computer vision researchers are interested in the automatic, vision-
based, early diagnostic system of skin cancer. By developing a such system which is easily used by non-paramedic educated person, the people can visually check their skin as initial diagnosis without supporting of formal trained or skillful people.• In this paper, a lightweight, lowcost application has been designed, based
on the previous developed, integrated computer vision and image processing algorithms, called DEWA.
Implementing DEWA Framework for Early Diagnosis of Melanoma, presented at ICCSCI 2015
METHODS
Implementing DEWA Framework for Early Diagnosis of Melanoma, presented at ICCSCI 2015
DEWA• Image Segmentation• Color Transformation• Morphological Filter
• Image Filtering• K-Means/Improved K-Means• Connected Component Labeling
• Object Classification • Ellips detection
Implementing DEWA Framework for Early Diagnosis of Melanoma, presented at ICCSCI 2015
ABCD Rule• Assymetric • Border• Color• Diameter
• TDS Index
Implementing DEWA Framework for Early Diagnosis of Melanoma, presented at ICCSCI 2015
Illustration
Implementing DEWA Framework for Early Diagnosis of Melanoma, presented at ICCSCI 2015
Simple AlgorithmLoad skin cancer imageApply DEWA algorithm to obtain noise-free imageImage analysis based on ABCD Rule• Determine the asymmetric value (A)• Calculate the border irregularity (B)• Get the color distribution (C) of skin image• Compute the diameter (D)Computer TDS Index
Implementing DEWA Framework for Early Diagnosis of Melanoma, presented at ICCSCI 2015
Data for Experiment
Implementing DEWA Framework for Early Diagnosis of Melanoma, presented at ICCSCI 2015
Implementing DEWA Framework for Early Diagnosis of Melanoma, presented at ICCSCI 2015
Result
Implementing DEWA Framework for Early Diagnosis of Melanoma, presented at ICCSCI 2015
SISIK
Implementing DEWA Framework for Early Diagnosis of Melanoma, presented at ICCSCI 2015
Conclusion• Early diagnosis of melanoma is important step that can be useful to
decrease the danger of skin cancer. By using public device such as smart phone, the diagnosis mechanism can be done by common people. • DEWA as framework, utilized three multi aspects and can be considered
as light framework because it has been deployed on small portable device successfully. • The integrated methods that have been applied, even though it has been
tested, and give promising result (83%). Some problems still found in the methods, such as inaccuracy in detection especially in color aspect need to be corrected.
Implementing DEWA Framework for Early Diagnosis of Melanoma, presented at ICCSCI 2015
Thank you for your attention.