Skin Melanoma Classification System Using Deep Learning
Source abstract
Abstract
The deadliest type of skin cancer is malignant melanoma. The diagnosis requires at the earliest to reduce the mortality rate. In this study, an efficient Skin Melanoma Classification (SMC) system is presented using dermoscopi... | Find, read and cite all the research you need on Tech Science Press
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Cutaneous Melanoma Detection and Management · AI in cancer detection · Digital Imaging for Blood Diseases
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (30)
Show source-provided references
1. ABCD rule of dermatoscopy: A new practical method for early recognition of malignant melanoma
2. Epiluminescence microscopy for the diagnosis of doubtful melanocytic skin lesions: Comparison of the ABCD rule of dermatoscopy and a new 7-point checklist based on pattern analysis
3. In vivo epiluminescence microscopy of pigmented skin lesions—I: Pattern analysis of pigmented skin lesions10.1016/S0190-9622(87)70239-4 ↗
4. Automated skin lesion analysis based on color and shape geometry feature set for melanoma early detection and prevention
5. Overview of advanced computer vision systems for skin lesions characterization10.1109/TITB.2009.2017529 ↗
6. A methodological approach to the classification of dermoscopy images10.1016/j.compmedimag.2007.01.003 ↗
7. Statistical and structural approaches to texture10.1109/PROC.1979.11328 ↗
8. Rapid texture identification10.1117/12.959169 ↗
9. A comparative study of texture measures with classification based on feature distributions10.1016/0031-3203(95)00067-4 ↗
10. Classification of melanoma using wavelet-transform-based optimal feature set10.1117/12.536013 ↗
11. Melanoma classification using multiwavelet transform and support vector machine
12. Melanoma image classification system by NSCT features and Bayes classification10.29284/IJASIS.2.2.2016.27-33 ↗
13. Continuous curvelet transform: II Discretization and frames10.1016/j.acha.2005.02.004 ↗
14. Sparse directional image representations using the discrete shearlet transform10.1016/j.acha.2007.09.003 ↗
15. Generalized autoregressive conditional heteroskedasticity10.1016/0304-4076(86)90063-1 ↗
16. Automated melanoma recognition10.1109/42.918473 ↗
17. Tissue counter analysis of benign common nevi and malignant melanoma10.1016/S1386-5056(02)00049-7 ↗
18. Skin lesion classification using hybrid deep neural networks
19. Skin lesion classification using convolutional neural network with novel regularizer10.1109/ACCESS.2019.2906241 ↗
20. Transfer learning based method for two-step skin cancer images classification
21. k-means++: The advantages of careful seeding
22. Multi-scale classification of disease using structural MRI and wavelet transform10.1016/j.neuroimage.2012.05.022 ↗
23. Robust algorithm for brain magnetic resonance image (MRI) classification based on GARCH variances series10.1016/j.bspc.2013.09.001 ↗
24. Dominant rotated local binary patterns (DRLBP) for texture classification10.1016/j.patrec.2015.11.019 ↗
25. Complex texture features for glaucoma diagnosis using support vector machine10.20894/IJMSR.117.007.001.009 ↗
26. Object recognition based on empirical wavelet transform10.20894/IJMSR.117.007.001.008 ↗
27. Detection of cancer-specific markers amid massive mass spectral data10.1073/pnas.2532248100 ↗
28. Goodfellow · Deep Learning · 2016
29. Mendonça · 2013 · 5437
30. PH2 Database Link: [Online]. Available: https://www.fc.up.pt/addi/ph2%20database.html.