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Skin lesion image classification using sparse representation in quaternion wavelet domain.

, , , , and . Signal Image Video Process., 16 (7): 1721-1729 (2022)

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Predicting sample size required for classification performance., , , and . BMC Medical Informatics Decis. Mak., (2012)Classification using sparse representation and applications to skin lesion diagnosis. (Classification basée sur la représentation parcimonieuse et application au diagnostic des lésions cutanées).. Université Sorbonne Paris Nord, France, (2021)Convolution Autoencoder-Based Sparse Representation Wavelet for Image Classification., , , , and . MMSP, page 1-6. IEEE, (2020)Patients learning to read their doctors' notes: the importance of reminders., , , , , , , and . JAMIA, 23 (5): 951-955 (2016)Relationships among Different Subjective Measurements of Consumer Health Information Retrieval Performance., , , and . MedInfo, volume 107 of Studies in Health Technology and Informatics, page 1328-1332. IOS Press, (2004)Palindrome.js: 3D monitoring for distributed systems visual analysis., , , and . ISCC, page 1-6. IEEE, (2024)Skin lesion image classification using sparse representation in quaternion wavelet domain., , , , and . Signal Image Video Process., 16 (7): 1721-1729 (2022)Sparse Representation Wavelet Based Classification., , , , , and . ICIP, page 2974-2978. IEEE, (2018)The Effect of User Factors on Consumer Familiarity with Health Terms: Using Gender as a Proxy for Background Knowledge About Gender-Specific Illnesses., , , , and . ISBMDA, volume 4345 of Lecture Notes in Computer Science, page 472-481. Springer, (2006)Relating Consumer Knowledge of Health Terms and Health Concepts., , , , , and . AMIA, AMIA, (2006)