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- Vol. 4 Issue 3
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Melanoma Detection by Automated Reconfiguration System Using Local Binary Pattern
Authors
12Assistant Professor, Department of Electronics and Communication Engineering, PPG Institute of Technology,Coimbatore, Tamil Nadu, India. 3Assistant Professor, Department of Electronics and Communication Engineering, Suguna College of Engineering,Coimbatore, Tamil Nadu, India.
Article Information
- DOI
- No DOI
- Published In
- Volume 4, Issue 3 (2023)
- Published Online
- May-June 2023
- Pages
- 617-626
- Article Type
- Research Article
- Check for updates
- No DOI available for cross-reference
References
[1]. Adegun, Adekanmi, and Serestina Viriri. "An Enhanced Deep Learning Framework for Skin Lesions Segmentation." In International
Conference on Computational Collective Intelligence, pp. 414-425. Springer, Cham, 2019.
[2]. Celebi, M. Emre, Hassan A. Kingravi, Bakhtiyar Uddin, Hitoshi Iyatomi, Y.Alp Aslandogan, William V. Stoecker, and Randy H.
Moss. "A methodological approach to the classification of dermoscopy images." Computerized Medical imaging and graphics 31, no. 6
(2012): 362-373.
[3]. Capdehourat, German, Andres Corez, Anabella Bazzano, Rodrigo Alonso, and Pablo Muse. "Toward a combined tool to assist
dermatologists in melanoma detection from dermoscopic images of pigmented skin lesions." Pattern Recognition Letters 32, no. 16
(2015): 2187-2196
[4]. Celebi, M. Emre, Hitoshi Iyatomi, William V. Stoecker, Randy H. Moss, Harold S. Rabinovitz, Giuseppe Argenziano, and H. Peter
Soyer. "Automatic detection of blue-white veil and related structures in dermoscopy images." Computerized Medical Imaging and
Graphics 32, no. 8 (2014): 670-677 .
[5]. Abbas, Qaisar, M. Emre Celebi, Carmen Serrano, Irene FondoN GarciA, And Guangzhi Ma. "Pattern classification of dermoscopy
images: A perceptually uniform model." Pattern Recognition 46, no. 1 (2013): 86-97. 10 VOLUME 4,
2016.
[6]. Adegun, Adekanmi, and Serestina Viriri. "An Enhanced Deep Learning Framework for Skin Lesions Segmentation." In International
Conference on computational Collective Intelligence, pp. 414-425. Springer, Cham,2019.
[7]. Pratavieira, S., C. T. Andrade, A. G. Salvio, Vanderlei Salvador Bagnato, and Cristina Kurachi. "Optical imaging as auxiliary tool
in skin cancer diagnosis.― Skin Cancers–Risk Factors, Prevention and Therapy (2015): 159-173.
[8]. Marcon, N. E., R. S. DaCosta, and B. C. Wilson. Fluorescence and Spectral Imaging.The scientific world journal, 7 (2016): 2046-71.
[9]. Ramanujam, N. Fluorescence Spectroscopy of Neoplastic and Non Neoplastic Tissues. Neoplasia, 2, no. 1-2 (Jan-Apr 2015): 89-117.
[10]. Marghoob, A. A., L. D. Swindle, C. Z. Moricz, F. A. Sanchez Negron, B.Slue A. C. Halpern, and A. W. Kopf. Instruments and New
Technologies for the Vivo Diagnosis of Melanoma. J Am Acad Dermatol, 49, no. 5 (Nov 2017): 777-97; quiz 98-9
Conference on Computational Collective Intelligence, pp. 414-425. Springer, Cham, 2019.
[2]. Celebi, M. Emre, Hassan A. Kingravi, Bakhtiyar Uddin, Hitoshi Iyatomi, Y.Alp Aslandogan, William V. Stoecker, and Randy H.
Moss. "A methodological approach to the classification of dermoscopy images." Computerized Medical imaging and graphics 31, no. 6
(2012): 362-373.
[3]. Capdehourat, German, Andres Corez, Anabella Bazzano, Rodrigo Alonso, and Pablo Muse. "Toward a combined tool to assist
dermatologists in melanoma detection from dermoscopic images of pigmented skin lesions." Pattern Recognition Letters 32, no. 16
(2015): 2187-2196
[4]. Celebi, M. Emre, Hitoshi Iyatomi, William V. Stoecker, Randy H. Moss, Harold S. Rabinovitz, Giuseppe Argenziano, and H. Peter
Soyer. "Automatic detection of blue-white veil and related structures in dermoscopy images." Computerized Medical Imaging and
Graphics 32, no. 8 (2014): 670-677 .
[5]. Abbas, Qaisar, M. Emre Celebi, Carmen Serrano, Irene FondoN GarciA, And Guangzhi Ma. "Pattern classification of dermoscopy
images: A perceptually uniform model." Pattern Recognition 46, no. 1 (2013): 86-97. 10 VOLUME 4,
2016.
[6]. Adegun, Adekanmi, and Serestina Viriri. "An Enhanced Deep Learning Framework for Skin Lesions Segmentation." In International
Conference on computational Collective Intelligence, pp. 414-425. Springer, Cham,2019.
[7]. Pratavieira, S., C. T. Andrade, A. G. Salvio, Vanderlei Salvador Bagnato, and Cristina Kurachi. "Optical imaging as auxiliary tool
in skin cancer diagnosis.― Skin Cancers–Risk Factors, Prevention and Therapy (2015): 159-173.
[8]. Marcon, N. E., R. S. DaCosta, and B. C. Wilson. Fluorescence and Spectral Imaging.The scientific world journal, 7 (2016): 2046-71.
[9]. Ramanujam, N. Fluorescence Spectroscopy of Neoplastic and Non Neoplastic Tissues. Neoplasia, 2, no. 1-2 (Jan-Apr 2015): 89-117.
[10]. Marghoob, A. A., L. D. Swindle, C. Z. Moricz, F. A. Sanchez Negron, B.Slue A. C. Halpern, and A. W. Kopf. Instruments and New
Technologies for the Vivo Diagnosis of Melanoma. J Am Acad Dermatol, 49, no. 5 (Nov 2017): 777-97; quiz 98-9
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