Skin lesions have a high misdiagnosis rate due to a
wide variety of forms. Recently, a deep learning
based skin lesion classification method is difficult to
classify due to hair and fuzzy boundaries of skin
lesions. In this paper, we propose a network for
classifying skin lesions and segmenting skin lesion
regions using a multitask learning method.
Experimentally, the result shows that the
performance of our method has been improved by
2.48 % over the previous method.