• 知乎专栏

data-id="" iid="">知乎专栏https://zhuanlan.zhihu.com/p/679181863知乎专栏网页由于此网站的设置，我们无法提供该页面的具体描述。  

发布时间：2024-07-11

• Transformer guided self

data-id="" iid="">ScienceDirecthttps://www.sciencedirect.com/science/article/pii/S0010482523013112Transformer guided self-adaptive network for multi-scale skin …网页2024年2月1日 · SapFormer designs multiple hybrid transformers for multi-scale feature encoding of skin images and multi-scale positional feature sensing of the encoded features using a transformer decoder to obtain fine-grained features of the lesion area and optimize the regional feature distribution. The self-adaptive feature framework, built upon the ...

发布时间：2024-07-11

• A Web

发布时间：2024-07-11

• ISIC International Skin Imaging Collaboration

发布时间：2024-07-11

• A survey on deep learning for skin lesion segmentation

data-id="" iid="">PubMedhttps://pubmed.ncbi.nlm.nih.gov/37343323A survey on deep learning for skin lesion segmentation网页Skin cancer is a major public health problem that could benefit from computer-aided diagnosis to reduce the burden of this common disease. Skin lesion segmentation from images is an important step toward achieving this goal. However, the presence of natural and artificial artifacts (e.g., hair and a …

发布时间：2024-07-11

• Transformation

data-id="" iid="">IEEE Xplorehttps://ieeexplore.ieee.org/document/9104928Transformation-Consistent Self-Ensembling Model for …网页2020年6月1日 · A common shortfall of supervised deep learning for medical imaging is the lack of labeled data, which is often expensive and time consuming to collect. This article presents a new semisupervised method for medical image segmentation, where the network is optimized by a weighted combination of a common supervised loss only for the labeled …

发布时间：2024-07-11

• background

发布时间：2024-07-11

• ISIC 2018 Task 1 Dataset Papers With Code

发布时间：2024-07-11

• ISIC 2017 Task 3 Dataset Papers With Code

发布时间：2024-07-11