Kimi-K3
Kimi K3 is an open-weight, 2.8T-parameter native multimodal agentic model with a 1M-token context window, designed for frontier coding, knowledge work, and reasoning tasks.
它扩展了 Merlin CT 基础模型,通过发布去标识化的纵向元数据和器官掩膜,使得时间序列分析和分割模型的训练成为可能,从而助力多肿瘤检测。
[MICCAI 2026] Merlin Plus
Planned release:
Coming soon!
If you use the code, data or methods in this repository, please cite all papers below:
@article{bassi2025scaling,
title={Scaling Artificial Intelligence for Multi-Tumor Early Detection with More Reports, Fewer Masks},
author={Bassi, Pedro RAS and Zhou, Xinze and Li, Wenxuan and P{\l}otka, Szymon and Chen, Jieneng and Chen, Qi and Zhu, Zheren and Prz{\k{a}}do, Jakub and Hamac{\i}, Ibrahim E and Er, Sezgin and others},
journal={arXiv preprint arXiv:2510.14803},
year={2025}
}
@article{blankemeier_kumar2026merlin,
author = {Blankemeier, Louis and Kumar, Ashwin and Cohen, Joseph Paul and Liu, Jiaming and Liu, Longchao and Van Veen, Dave and Gardezi, Syed Jamal Safdar and Yu, Hongkun and Paschali, Magdalini and Chen, Zhihong and Delbrouck, Jean-Benoit and Reis, Eduardo and Holland, Robbie and Truyts, Cesar and Bluethgen, Christian and Wu, Yufu and Lian, Long and Jensen, Malte Engmann Kjeldskov and Ostmeier, Sophie and Varma, Maya and Valanarasu, Jeya Maria Jose and Fang, Zhongnan and Huo, Zepeng and Nabulsi, Zaid and Ardila, Diego and Weng, Wei-Hung and Amaro Junior, Edson and Ahuja, Neera and Fries, Jason and Shah, Nigam H. and Zaharchuk, Greg and Willis, Marc and Yala, Adam and Johnston, Andrew and Boutin, Robert D. and Wentland, Andrew and Langlotz, Curtis P. and Hom, Jason and Gatidis, Sergios and Chaudhari, Akshay S.},
title = {Merlin: a computed tomography vision-language foundation model and dataset},
journal = {Nature},
year = {2026},
doi = {10.1038/s41586-026-10181-8},
url = {https://doi.o
[MICCAI 2026] Merlin Plus is the first large-scale public CT dataset with radiologist-created tumor masks across 9 organs (spleen, bladder, gallbladder, stomach, duodenum, prostate, adrenal glands, esophagus, and uterus), adding 1,153 per-voxel tumor masks to the Stanford Merlin dataset.
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