Diagnosis of melanomas by check-list method

Author

Raikar, Apoorva ; Sangani, S.P. ; Hanabaratti, K.D.

Author_Institution

Dept. of Comput. Sci. & Eng., KLS Gogte Inst. of Technol., Belgaum, India

fYear

2013

fDate

4-6 July 2013

Firstpage

1

Lastpage

6

Abstract

An image based system implementing diagnostic method is discussed for the automatic detection of melanomas as support to clinicians. Early detection of melanoma is one of the greatest challenges of dermatologic practice today. A new diagnostic method, the “ELM 7 point checklist”, defines a set of seven features, based on color and texture parameters, which describe the malignancy of a lesion. As Dermoscopy is an in vivo method for the early diagnosis of malignant melanoma and the differential diagnosis of pigmented lesions of the skin, it has been shown to increase diagnostic accuracy over clinical visual inspection in the hands of experienced physicians.

Keywords

cancer; image colour analysis; image texture; medical image processing; object detection; skin; tumours; ELM 7 point checklist; automatic detection; clinical visual inspection; color parameter; dermoscopy; image based system; lesion malignancy; melanoma detection; melanoma diagnosis; pigmented lesion; texture parameter; Accuracy; Feature extraction; Image color analysis; Image segmentation; Lesions; Malignant tumors; Skin; Dermoscopy; Epiluminescence Microscopy; Melanoma;

fLanguage

English

Publisher

ieee

Conference_Titel

Computing, Communications and Networking Technologies (ICCCNT),2013 Fourth International Conference on

Conference_Location

Tiruchengode

Print_ISBN

978-1-4799-3925-1

Type

conf

DOI

10.1109/ICCCNT.2013.6726775

Filename

6726775