Transfer learning approach based for skin cancer detection

Med Anouar Naoui

Resumen


Nowadays skin cancer are increased due to several factors. Cancer detection become an important research field. Several research proposed models, algorithm to detect cancer from image. Image  classification is an effective tools to solve cancer classification problem.

This paper proposed a transfer learning approach based for cancer detection. Authors used different transfer learning model Resnet50, Vgg16, Vgg19 InceptionV3, MobileNetV2 and CNN model. After trained these models. The result obtained by Resnet50 is the best result compared to other model with an accuracy of 81.2% this indicates the importance of transfer learning.


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La Universidad de las Ciencias Informáticas (UCI), a través del sello editorial Ediciones Futuro, publica los contenidos de la Revista Cubana de Ciencias Informáticas (RCCI) bajo licencia Creative Commons de tipo Atribución 4.0 Internacional (CC BY 4.0). Esta licencia permite a otros distribuir, mezclar, ajustar y construir a partir de su obra, incluso con fines comerciales, siempre que le sea reconocida la autoría de la creación original.
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