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Skin lesion analysis towards melanoma detection using optimized deep learning network

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Abstract

The deadliest form of skin lesion is known as melanoma. Detection of melanoma at earlier stages significantly raises the rate of survival. Nevertheless, the precise detection of melanoma is very challenging for reasons like lower contrast among skin and lesion, visual similarity among non-melanoma and melanoma lesions, etc. This work presents a new melanoma detection approach, which is comprised of 3 foremost stages like: segmentation, feature extraction and detection. Beginning with segmentation, a new algorithm called the Self Adaptive Sea Lion Algorithm (SA-SLnO) is used to improve the K-means clustering model’s initial centroids in a way that maximizes performance. Here, the multi-objective considerations of intensity diverse centroid, geographical map, and frequency of occurrence, respectively, are used to carry out the best selection. Further, from the segmented images, the texture features were extracted, and they are subjected to “Deep Belief Network (DBN)” for melanoma detection. Eventually, the supremacy of the presented model is confirmed over existing models in terms of various measures.

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No new data were generated or analysed in support of this research.

Abbreviations

CNN:

Convolutional Neural Network

DCNN:

Deep Convolutional Neural Network

DBN:

Deep Belief Network

FDR:

False Discovery Rate

FNR:

False Negative Rate

FPR:

False Positive Rate

GLRM:

Gray Level Run-Length Matrix

GLCM:

Gray-Level Co-Occurrence Matrix

HoG:

Histogram of Gradients

HoL:

Histogram of Lines

LANM:

Lion Algorithm with New Mating Process

LVP:

Local Vector Pattern

LBP:

Local Binary Pattern

MLP:

Multi-Layer Perceptron

MCC:

Matthews Correlation Coefficient

MI:

Mutual Information

NN:

Neural Network

NPV:

Negative Predictive Value

NVLVP:

Neighborhood variant LVP

PA-MSA:

Particle Assisted- Moth Search Algorithm

PSO:

Particle Swarm Optimization

SRM:

Statistical Region Merging

SD:

Standard Deviation

SVM:

Support Vector Machine

SA-SLnO:

Self Adaptive Sea Lion Algorithm

SMP:

Skin Magnifier with Polarized light

WOA:

Whale Optimization Algorithm

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Authors and Affiliations

  1. Noorul Islam Centre for Higher Education, Kumaracoil, Thuckalay, Tamil Nadu, 629180, India

    S. T. Sukanya & S. Jerine

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  1. S. T. Sukanya
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Sukanya, S.T., Jerine, S. Skin lesion analysis towards melanoma detection using optimized deep learning network. Multimed Tools Appl 82, 27795–27817 (2023). https://doi.org/10.1007/s11042-023-14454-6

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