… the world is skin cancer, skin cancer can … Skin cancer influences the skin cells in any region
of the skin body. Depend on the abnormal growth of skin cells, skin cancer is classified into …

… However, these skin cancers are easily curable if detected in the early stages which have …
We leverage on transfer learning to extract features and perform classification. The training of …

… skin cancer dataset is used in the study [… skin cancer classification. Following the training
of each model, its performance is compared and assessed for parameters such as classification …

… Our proposed deep learning model is lightweight and employs transfer learning to classify
seven different forms of skin cancer with good accuracy, aiding in early detection. The model …

… factor for invasive skin cancer, melanoma, and other keratinocyte cancers. The incidence …
learning-based scheme to segment skin lesions and classify cancer type with transfer learning…

… The use of transfer learning to boost skin cancer classification model precision is a … CNN
with a transfer learning model and a random forest classifier for skin cancer disease detection. …

… skin. Therefore, early identification is essential for minimizing the harm. This study uses transfer
learning … necessary fine tuning to classify eight types of skin cancers. During the training …

… v3 classified 132,824 skin cancer images including both clinical and Dermoscopy images
of skin cancer. A … for multi-class classification of seven different skin lesions using transfer …

… performance of the four models (VGG16, Xception, ResNet50, and MobileNetV2) using
Scenario1 and Scenario2 on the testing set of the target dataset for the skin cancer classification …

… a transfer learning based approach, for the task of breast histology image classification into
… and fine-tuned using images of skin lesions, achieved very high accuracy for skin cancer …