… notably transformer-based networks. We explore and evaluate advances in computer vision
… maps extracted from an image for skin cancer classification. This method main limitation is …

… 随后Dosovitskiy等 [20] 将Transformer引入计算机视觉领域中,提出了视觉变换网络(vision
transformer network,ViT)并取得了较好的效果.该网络能够较好地提取全局特征信息,但在细节特征…

… to classify skin cancer [… networks to identify skin cancer [19]. Aladhadh et al. presented an
approach that uses data augmentation and Medical Vision Transformer to classify skin cancer […

… and transformer network, called bottleneck transformer network, … to enhance the bottleneck
transformer’s position modeling … However, different skin cancers have very similar visual …

… Convolutional blocks are used to tokenize the vision transformer, lowering model training …
Transformer networks are infrequently used as a classifier of skin cancer. The SkinTrans model …

… Focusing on the intricate task of eight-class skin cancer classification, the research delves
… and Vision Transformer models. To counteract the inherent class imbalance in skin cancer …

… a multiclass tissue classification of colorectal cancer using Vision Transformers. We will use
Kather colorectal cancer histology dataset " textures Collection of colorectal cancer histology"…

… of Vision Transformers (ViTs) in diagnosing skin lesions, capitalizing on their attention
mechanisms and global contextual insights. Utilizing the fictional Dermatological Vision Dataset (…

… skin cancers. After that, we review the successful applications of typical convolutional neural
networks for skin cancer classification… MFTL consisted primarily of two modules: a multi-view-…

… , such as vision transformers. This is of … classification problems vision transformers can
outperform CNNs, when both are pre-trained on ImageNet [1]. Moreover, vision transformers …