… skin lesion classification method is proposed. In this method, a pre-trained deep learning
network and transfer learning … data augmentation, the transfer learning is applied to AlexNet by …

… classification rate when compared to other transfer learning models. The ability of the proposed
method is to classify benign and malignant skin … for the binary classification. Moreover, …

… deep learning artificial intelligence. The work in this paper examines the applicability of raw
deep transfer learning in classifying images of skin … using 13 deep transfer learning models. …

… , binary class classification is performed by utilizing the transfer learning model on epoch 6,
7… For skin cancer classification, we calculated the output achieved from the epoch 6, 7, and 8 …

… analysis of six different transfer learning nets for multi-class skin cancer classification by
taking the … The transfer learning nets that were used in the analysis were VGG19, InceptionV3, …

… We used transfer learning utilizing multiple pre-trained models, combined with class-…
transfer learning as a technique to train neural networks to classify seven types of skin cancer…

… Model Architectures We applied transfer learning for skin lesion classification by slightly
modifying architecture and fine-tuning weights of the ResNet50 [34] models pre-trained on the …

… We found that the majority of biomedical imaging transfer learning methods used VGG
approaches to achieve the highest levels of prediction accuracy after thoroughly analyzing the …

… transfer learning driven deep IoHT framework for detection and classification of skin lesions
or cancer… In this proposed framework, automatic features are being extracted from skin lesion …

… transfer learning (TL) framework Transfer Constituent Support Vector Machine (TrCSVM)
is designed for melanoma classification … machine (SVM) and Transfer AdaBoost (TrAdaBoost). …