Design a System to Automatically Detect Common Skin Diseases Using Deep Learning and Web Application
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-44630-6_41
Reference21 articles.
1. Hoffman, M.: WebMD (2021). Retrieved from https://www.webmd.com/skin-problems-and-treatments/picture-of-the-skin
2. Liu, Y.: A deep learning system for differential diagnosis of skin diseases. Nat. Med. 900–908 (2020)
3. Yang, J.: Classification for dermoscopy images using convolutional neural networks based on region average pooling. IEEE Access 65130–65138 (2018)
4. Lim, H.W.: The burden of skin disease in the United States. J. Am. Acad. Dermatol. 958–972 (2017)
5. Kharazmi, P.: Automated detection and segmentation of vascular structures of skin lesions seen in dermoscopy, with an application to basal cell carcinoma classification. Biomed. Health Inform. 1675–1684 (2017)
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