Segmentation and classification of skin lesions using hybrid deep learning method in the Internet of Medical Things.

Arslan AkramJaved RashidMuhammad Arfan JaffarMuhammad FaheemRiaz Ul Amin

Published in: Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI) (2023)

In conclusion, this paper's hybrid deep learning strategy is highly effective in skin lesion segmentation and classification. The results show that the model has the potential to improve diagnostic accuracy in the setting of IoMT, and it outperforms the current gold standards. The excellent results obtained on the ISIC 2020 Challenge dataset further confirm the viability and superiority of the suggested methodology for skin lesion analysis.

Keyphrases

deep learning
convolutional neural network
artificial intelligence
soft tissue
machine learning
wound healing
health information
risk assessment
data analysis
silver nanoparticles