no code implementations • 13 Apr 2024 • Weidong Guo, Hantao Zhang, Shouhong Wan, Bingbing Zou, Wanqin Wang, Chenyang Qiu, Jun Li, Peiquan Jin
The CoSAM utilizes sequence-based detection to guide the segmentation of metastatic lymph nodes in rectal cancer, contributing to improved localization performance for the segmentation model.
1 code implementation • 21 Mar 2024 • Hantao Zhang, Jiancheng Yang, Shouhong Wan, Pascal Fua
By redesigning the diffusion learning objectives to concentrate on lesion areas, it simplifies the model learning process and enhance the controllability of the synthetic output, while preserving background by integrating forward-diffused background contexts into the reverse diffusion process.
no code implementations • 16 Aug 2023 • Hantao Zhang, Weidong Guo, Chenyang Qiu, Shouhong Wan, Bingbing Zou, Wanqin Wang, Peiquan Jin
The generalization of the model is further verified on the WORD dataset.