Published on in Vol 3, No 1 (2020): Jan-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/18438, first published .
Skin Lesion Classification With Deep Convolutional Neural Network: Process Development and Validation

Skin Lesion Classification With Deep Convolutional Neural Network: Process Development and Validation

Skin Lesion Classification With Deep Convolutional Neural Network: Process Development and Validation

Authors of this article:

Arnab Ray1 Author Orcid Image ;   Aman Gupta1 Author Orcid Image ;   Amutha Al1 Author Orcid Image

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  1. Yilmaz E, Trocan M. A modified version of GoogLeNet for melanoma diagnosis. Journal of Information and Telecommunication 2021;5(3):395 View
  2. Singh L, Janghel R, Sahu S. A Deep Learning-Based Transfer Learning Framework for the Early Detection and Classification of Dermoscopic Images of Melanoma. Biomedical and Pharmacology Journal 2021;14(3):1231 View
  3. Lembhe A, Motarwar P, Patil R, Elias S. Enhancement in Skin Cancer Detection using Image Super Resolution and Convolutional Neural Network. Procedia Computer Science 2023;218:164 View
  4. Al-Azzawi W, Chenchamma G, Hamad A, Alshudukhi J, Alhamazani K, Meraf Z, Velmurugan P. Use of Radiation Circuits for Diagnosis of Melanoma Skin Cancer in Images of Skin Lesions Using Convolutional Neural Networks. Journal of Nanomaterials 2022;2022(1) View
  5. Takiddin A, Schneider J, Yang Y, Abd-Alrazaq A, Househ M. Artificial Intelligence for Skin Cancer Detection: Scoping Review. Journal of Medical Internet Research 2021;23(11):e22934 View
  6. Liu Q, Zhang J, Bai Y. Mapping the landscape of artificial intelligence in skin cancer research: a bibliometric analysis. Frontiers in Oncology 2023;13 View
  7. KESTEK E, AKTAN M, AKDOĞAN E. Skin Lesion Classification Using Convolutional Neural Network and ABCD Rule. Turkish Journal of Mathematics and Computer Science 2023;15(2):365 View
  8. Mrs. R Soundharya , Akanksha Shettigar , Ananya Prasad , Ashwith R Poojary , Deepa Naik . Skin Disease Detection. International Journal of Advanced Research in Science, Communication and Technology 2024:393 View

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  1. Zhao Q, Chen L. Wound Healing - Recent Advances and Future Opportunities. View