Sohel, A.; Turjy, R.C.D.; Bappy, S.P.; Assaduzzaman, M.; Marouf, A.A.; Rokne, J.G.; Alhajj, R.
SkinVisualNet: A Hybrid Deep Learning Approach Leveraging Explainable Models for Identifying Lyme Disease from Skin Rash Images. Mach. Learn. Knowl. Extr. 2025, 7, 157.
https://doi.org/10.3390/make7040157
AMA Style
Sohel A, Turjy RCD, Bappy SP, Assaduzzaman M, Marouf AA, Rokne JG, Alhajj R.
SkinVisualNet: A Hybrid Deep Learning Approach Leveraging Explainable Models for Identifying Lyme Disease from Skin Rash Images. Machine Learning and Knowledge Extraction. 2025; 7(4):157.
https://doi.org/10.3390/make7040157
Chicago/Turabian Style
Sohel, Amir, Rittik Chandra Das Turjy, Sarbajit Paul Bappy, Md Assaduzzaman, Ahmed Al Marouf, Jon George Rokne, and Reda Alhajj.
2025. "SkinVisualNet: A Hybrid Deep Learning Approach Leveraging Explainable Models for Identifying Lyme Disease from Skin Rash Images" Machine Learning and Knowledge Extraction 7, no. 4: 157.
https://doi.org/10.3390/make7040157
APA Style
Sohel, A., Turjy, R. C. D., Bappy, S. P., Assaduzzaman, M., Marouf, A. A., Rokne, J. G., & Alhajj, R.
(2025). SkinVisualNet: A Hybrid Deep Learning Approach Leveraging Explainable Models for Identifying Lyme Disease from Skin Rash Images. Machine Learning and Knowledge Extraction, 7(4), 157.
https://doi.org/10.3390/make7040157
