Neural network diagnosis of malignant melanoma from color images
- 1 January 1994
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Biomedical Engineering
- Vol. 41 (9) , 837-845
- https://doi.org/10.1109/10.312091
Abstract
Malignant melanoma is the deadliest form of all skin cancers. Approximately 32,000 new cases of malignant melanoma were diagnosed in 1991 in the United States, with approximately 80% of patients expected to survive five years [1]. Fortunately, if detected early, even malignant melanoma may be treated successfully. Thus, in recent years, there has been rising interest in the automated detection and diagnosis of skin cancer, particularly malignant melanoma [2]. In this paper, we present a novel neural network approach for the automated separation of melanoma from three benign categories of tumors which exhibit melanoma-like characteristics. Our approach uses discriminant features, based on tumor shape and relative tumor color, that are supplied to an artificial neural network for classification of tumor images as malignant or benign. With this approach, for reasonably balanced training/testing sets, we are able to obtain above 80% correct classification of the malignant and benign tumors on real skin tumor images.Keywords
This publication has 14 references indexed in Scilit:
- Detection of skin tumor boundaries in color imagesIEEE Transactions on Medical Imaging, 1993
- Automatic detection of asymmetry in skin tumorsComputerized Medical Imaging and Graphics, 1992
- Editorial: digital imaging in dermatologyComputerized Medical Imaging and Graphics, 1992
- Texture in skin images: Comparison of three methods to determine smoothnessComputerized Medical Imaging and Graphics, 1992
- Malignant melanoma in the 1990s: the continued importance of early detection and the role of physician examination and self-examination of the skinCA: A Cancer Journal for Clinicians, 1991
- A color clustering technique for image segmentationComputer Vision, Graphics, and Image Processing, 1990
- A neural network approach for bone fracture healing assessmentIEEE Engineering in Medicine and Biology Magazine, 1990
- Boundary detection in skin tumor images: An overall approach and a radial search algorithmPattern Recognition, 1990
- Review of Neural Networks for Speech RecognitionNeural Computation, 1989
- Early Detection of Malignant Melanoma: The Role of Physician Examination and Self-Examination of the SkinCA: A Cancer Journal for Clinicians, 1985