ZAP-2.5DSAM: zero additional parameters advancing 2.5D SAM adaptation to 3D tumor segmentation

Related articles

1. Segmenting Objects with Imbalanced Sizes via Smooth and Sparse Dual Optimal Transport

   This article has 5 authors:

   1. Mengqi Ding
   2. Gangxuan Zhou
   3. XueCheng Tai
   4. Li Cui
   5. Jun Liu

2. GoLoCo-Net: Global-Local guided Contextual Attention Network for Medical Images Segmentation

   This article has 3 authors:

   1. Ying He
   2. Marc E. Miquel
   3. Qianni Zhang

3. SULBA: A Task-Agnostic Data Augmentation Framework for Deep Learning in Medical Image Analysis

   This article has 2 authors:

   1. Ayomide Adeyemi Abe
   2. Mpumelelo Nyathi