Title :
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
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;
Conference_Titel :
Computing, Communications and Networking Technologies (ICCCNT),2013 Fourth International Conference on
Conference_Location :
Tiruchengode
Print_ISBN :
978-1-4799-3925-1
DOI :
10.1109/ICCCNT.2013.6726775
