arXiv · cs.AI · Abdullah Al Shafi, Md Kawsar Mahmud Khan Zunayed, Safin Ahmmed, Sk Imran Hossain, Engelbert Mephu Nguifo · 8 小时前模型评分30
自适应双向任务交互用于乳腺超声分割与分类联合建模
Adaptive Bidirectional Task Interaction for Joint Segmentation and Classification of Breast Ultrasound
导读
一项研究提出带任务交互模块（TIM，Task Interaction Module）的解码器，在四个层级上让分割与分类分支交换潜在特征，并用自适应交互加权（AIW，Adaptive Interaction Weighting）单元按图像和层级设定共享的 softmax 预算。
分类置信度
中 · 待人工复核
- 只有单一媒体来源，需要人工复核。
来源级别：媒体与个人
应用领域：医疗与生命科学
事件类型：研究发布
证据摘录
- “This paper introduces a decoder in which a Task Interaction Module (TIM) exchanges latent features between the segmentation and classification branches at each of four levels, and an Adaptive Interaction Weighting (AIW) unit uses activation dispersion to set, per image and level, one softmax budget that the two directions share.”
- “On BUSI and BUSI-WHU, split so that duplicate images and, for BUSI-WHU, images of one patient stay within one partition, the model exceeds the mean IoU of CNN, transformer, multi-task and same-backbone baselines, reaching 72.9% and 85.4%”
- “Code and data partitions: this https URL”
来源：arXiv · cs.AI · arxiv.org