Open Access
| Issue |
E3S Web Conf.
Volume 491, 2024
International Conference on Environmental Development Using Computer Science (ICECS’24)
|
|
|---|---|---|
| Article Number | 02037 | |
| Number of page(s) | 10 | |
| Section | Smart Systems for Environmental Development | |
| DOI | https://doi.org/10.1051/e3sconf/202449102037 | |
| Published online | 21 February 2024 | |
- “Segmentation And Classification Of Skin Lesions For Disease Diagnosis”, DOI: 10.1016/J.Procs.2015.03.090, 2015; Sumithra Ra, Mahamad Suhilb, D.S. Guruc. [Google Scholar]
- Extraction of Skin Lesions from Non-Dermoscopic Pictures Using Deep Learning, Mohammad H. Jafari, Ebrahim Nasr-Esfahani, Nader Karimi, S.M. Reza Soroushmehr, Shadrokh Samavi, and Kayvan Najarian, ResearchGate, September 2016. [Google Scholar]
- “AN INTELLIGENT SYSTEM TO DIAGNOSIS THE SKIN DISEASE”, Vol. 11, No. 19, October 2016, Manish Kumar and Rajiv Kumar. [Google Scholar]
- Automatic segmentation of skin tumours from dermatological photographs, Waterloo, Ontario, Canada, Jerrey Glaister, 2013. [Google Scholar]
- K. INDUPRIYA et al., Volume 3 Issue 5, “A SURVEY ON SKIN TEXTURE ANALYSIS FOR MEDICAL DIAGNOSIS USING IMAGE PROCESSING TECHNIQUES”, Dr. G. P. RAMESH KUMAR, K. INDUPRIYA, and others [Google Scholar]
- Doi, K. Computer-aided diagnosis in medical imaging: Historical review, current status and future potential. Comput. Med. Imaging Graph. 31, 198–211. [Google Scholar]
- Trabelsi, O., Tlig, L., Sayadi, M. & Fnaiech, F., Skin disease analysis and tracking based on image segmentation. 2013 International Conference on Electrical Engineering and Sofware Applications, Hammamet, 1–7. https://doi.org/10.1109/ICEESA.2013.6578486. [Google Scholar]
- Rajab, M. I., Woolfson, M. S. & Morgan, S. P. Application of region-based segmentation and neural network edge detection to skin lesions. Comput. Med. Imaging Graph. 28, 61–68. https://doi.org/10.1016/S0895-6111(03)00054-5. [Google Scholar]
- Lu, J., Manton, J. H., Kazmierczak E. & Sinclair, R., Erythema detection in digital skin images. In 2010 IEEE International Conference on image processing. [Google Scholar]
- Sumithra, R., Suhil, M. & Guru, D. S. Segmentation and classifcation of skin lesions for disease diagnosis. Proced.Comput. Sci. 45, 76–85. https://doi.org/10.1016/j.procs.2015.03.090 (2015). [CrossRef] [Google Scholar]
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