Leveraging Spatial and Semantic Feature Extraction for Skin Cancer Diagnosis with Capsule Networks and Graph Neural Networks

arXiv:2403.12009v1 Announce Type: new
Abstract: In the realm of skin lesion image classification, the intricate spatial and semantic features pose significant challenges for conventional Convolutional Neural Network (CNN)-based methodologies. These challenges are compounded by the imbalanced nature of skin lesion datasets, which hampers the ability of models to learn minority class features effectively. Despite augmentation strategies, such as those using Generative Adversarial Networks (GANs), previous attempts have not fully addressed these complexities. This study introduces an innovative approach by integrating …

abstract arxiv cancer cancer diagnosis capsule challenges classification cnn convolutional neural network cs.ai cs.cv datasets diagnosis extraction feature feature extraction features graph graph neural networks image nature network networks neural network neural networks semantic skin cancer spatial type