Published on in Vol 5, No 3 (2022): Jul-Sep
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/39143, first published
.
![Improving Skin Color Diversity in Cancer Detection: Deep Learning Approach Improving Skin Color Diversity in Cancer Detection: Deep Learning Approach](https://asset.jmir.pub/assets/27664bbeea13cc3b3ba206d9d5e495d2.png 480w,https://asset.jmir.pub/assets/27664bbeea13cc3b3ba206d9d5e495d2.png 960w,https://asset.jmir.pub/assets/27664bbeea13cc3b3ba206d9d5e495d2.png 1920w,https://asset.jmir.pub/assets/27664bbeea13cc3b3ba206d9d5e495d2.png 2500w)
Journals
- Grignaffini F, Barbuto F, Piazzo L, Troiano M, Simeoni P, Mangini F, Pellacani G, Cantisani C, Frezza F. Machine Learning Approaches for Skin Cancer Classification from Dermoscopic Images: A Systematic Review. Algorithms 2022;15(11):438 View
- Kushimo O, Salau A, Adeleke O, Olaoye D. Deep learning model to improve melanoma detection in people of color. Arab Journal of Basic and Applied Sciences 2023;30(1):92 View
- Plaisime M. Invited Commentary: Undiagnosed and Undertreated—the Suffocating Consequences of the Use of Racially Biased Medical Devices During the COVID-19 Pandemic. American Journal of Epidemiology 2023;192(5):714 View
- Debelee T. Skin Lesion Classification and Detection Using Machine Learning Techniques: A Systematic Review. Diagnostics 2023;13(19):3147 View
- Rezk E, Haggag M, Eltorki M, El-Dakhakhni W. A comprehensive review of artificial intelligence methods and applications in skin cancer diagnosis and treatment: Emerging trends and challenges. Healthcare Analytics 2023;4:100259 View
- Grignaffini F, Troiano M, Barbuto F, Simeoni P, Mangini F, D’Andrea G, Piazzo L, Cantisani C, Musolff N, Ricciuti C, Frezza F. Anomaly Detection for Skin Lesion Images Using Convolutional Neural Network and Injection of Handcrafted Features: A Method That Bypasses the Preprocessing of Dermoscopic Images. Algorithms 2023;16(10):466 View
- Jebeile J, Lam V, Majszak M, Räz T. Machine learning and the quest for objectivity in climate model parameterization. Climatic Change 2023;176(8) View
- Nguyen A, Ha S. CNN-BiLSTM and Time Delay Embedding: A Single-Step Hybrid Deep Learning Model for Stock Price Forecasting. SSRN Electronic Journal 2024 View
- Wen D, Soltan A, Trucco E, Matin R. From data to diagnosis: skin cancer image datasets for artificial intelligence. Clinical and Experimental Dermatology 2024;49(7):675 View
- Khatun N, Spinelli G, Colecchia F. Technology innovation to reduce health inequality in skin diagnosis and to improve patient outcomes for people of color: a thematic literature review and future research agenda. Frontiers in Artificial Intelligence 2024;7 View
Books/Policy Documents
- Barros L, Chaves L, Avila S. Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. View