Premaladha Jayaraman, Nirmala Veeramani, Raghunathan Krishankumar, Kattur Soundarapandian Ravichandran,Fausto Cavallaro, Pratibha Rani and Abbas Mardani
In recent years, skin cancer diagnosis has been aided by the most sophisticated and advanced machine learning algorithms, primarily implemented in the spatial domain. In this research work, we concentrated on two crucial phases of a computer-aided diagnosis system: (i) image enhancement through enhanced median filtering algorithms based on the range method, fuzzy relational method, and similarity coefficient, and (ii) wavelet decomposition using DB4, Symlet, RBIO, and extracting seven unique entropy features and eight statistical features from the segmented image. The extracted features were then normalized and provided for classification based on supervised and deep-learning algorithms. The proposed system is comprised of enhanced filtering algorithms, Normalized Otsu’s Segmentation, and wavelet-based entropy. Statistical feature extraction led to a classification accuracy of 93.6%, 0.71% higher than the spatial domain-based classification. With better classification accuracy, the proposed system will assist clinicians and dermatology specialists in identifying skin cancer early in its stages.
Melanoma; preprocessing; median filter; segmentation; wavelet decomposition; feature extraction; classification
information 2022, 13(12), 583; https://doi.org/10.3390/info13120583 Received: 15 September 2022 / Revised: 30 November 2022 / Accepted: 1 December 2022 / Published: 15 December 2022 (This article belongs to the Special Issue New Trend on Fuzzy Systems and Intelligent Decision Making Theory: A Themed Issue Dedicated to Dr. Ronald R. Yager)
Jayaraman, P.; Veeramani, N.; Krishankumar, R.; Ravichandran, K.S.; Cavallaro, F.; Rani, P.; Mardani, A. Wavelet-Based Classification of Enhanced Melanoma Skin Lesions through Deep Neural Architectures. Information 2022, 13, 583. https://doi.org/10.3390/info13120583
Jayaraman P, Veeramani N, Krishankumar R, Ravichandran KS, Cavallaro F, Rani P, Mardani A. Wavelet-Based Classification of Enhanced Melanoma Skin Lesions through Deep Neural Architectures. Information. 2022; 13(12):583. https://doi.org/10.3390/info13120583
Jayaraman, Premaladha, Nirmala Veeramani, Raghunathan Krishankumar, Kattur Soundarapandian Ravichandran, Fausto Cavallaro, Pratibha Rani, and Abbas Mardani. 2022. "Wavelet-Based Classification of Enhanced Melanoma Skin Lesions through Deep Neural Architectures" Information 13, no. 12: 583. https://doi.org/10.3390/info13120583