Cita APA (7a ed.)
Amir, S., Das, T. R. C., Bappy, S. P., Md, A., Marouf, A. A., George, R. J., & Reda, A. (2025). SkinVisualNet: A Hybrid Deep Learning Approach Leveraging Explainable Models for Identifying Lyme Disease from Skin Rash Images. Machine Learning and Knowledge Extraction. https://doi.org/10.3390/make7040157
Cita Chicago Style (17a ed.)
Amir, Sohel, Turjy Rittik Chandra Das, Sarbajit Paul Bappy, Assaduzzaman Md, Ahmed Al Marouf, Rokne Jon George, y Alhajj Reda. "SkinVisualNet: A Hybrid Deep Learning Approach Leveraging Explainable Models for Identifying Lyme Disease from Skin Rash Images." Machine Learning and Knowledge Extraction 2025. https://doi.org/10.3390/make7040157.
Cita MLA (9a ed.)
Amir, Sohel, et al. "SkinVisualNet: A Hybrid Deep Learning Approach Leveraging Explainable Models for Identifying Lyme Disease from Skin Rash Images." Machine Learning and Knowledge Extraction, 2025, https://doi.org/10.3390/make7040157.
Precaución: Estas citas no son 100% exactas.