H-DenseFormer: An Efficient Hybrid Densely Connected Transformer for Multimodal Tumor Segmentation

分类与摘要

聚焦医学影像分割、诊断或数据选择，体现 AI 方法在临床相关任务中的应用。

引用

Jun Shi*, Hongyu Kan, Shulan Ruan, Ziqi Zhu, Minfan Zhao, Liang Qiao, Zhaohui Wang, Hong An，Xudong Xue . H-DenseFormer: An Efficient Hybrid Densely Connected Transformer for Multimodal Tumor Segmentation, In proceeding of 2023 Medical Image Computing and Computer Assisted Intervention (MICCAI 2023), Lecture Notes in Computer Science, vol 14223. Springer, 01 October 2023.（CCF B, 医学影像分析顶会）

@article{acsa2023_39,
  title = {H-DenseFormer: An Efficient Hybrid Densely Connected Transformer for Multimodal Tumor Segmentation},
  year = {2023},
  doi = {10.1007/978-3-031-43901-8_66}
}