1 code implementation • 12 Apr 2024 • Xin Tie, Muheon Shin, Changhee Lee, Scott B. Perlman, Zachary Huemann, Amy J. Weisman, Sharon M. Castellino, Kara M. Kelly, Kathleen M. McCarten, Adina L. Alazraki, Junjie Hu, Steve Y. Cho, Tyler J. Bradshaw
For baseline segmentation, LAS-Net achieved a mean Dice score of 0. 772.
2 code implementations • 18 Sep 2023 • Xin Tie, Muheon Shin, Ali Pirasteh, Nevein Ibrahim, Zachary Huemann, Sharon M. Castellino, Kara M. Kelly, John Garrett, Junjie Hu, Steve Y. Cho, Tyler J. Bradshaw
Twelve language models were trained on a corpus of PET reports using the teacher-forcing algorithm, with the report findings as input and the clinical impressions as reference.
1 code implementation • 2 Mar 2023 • Zachary Huemann, Xin Tie, Junjie Hu, Tyler J. Bradshaw
ConTEXTual Net was trained on the CANDID-PTX dataset consisting of 3, 196 positive cases of pneumothorax with segmentation annotations from 6 different physicians as well as clinical radiology reports.
no code implementations • 4 Oct 2022 • Ran Zhang, Xin Tie, John W. Garrett, Dalton Griner, Zhihua Qi, Nicholas B. Bevins, Scott B. Reeder, Guang-Hong Chen
When applied to datasets from two external clinical sites, an AUC of 0. 81 (95% CI: 0. 80, 0. 82) and 0. 82 (95% CI: 0. 80, 0. 84) were achieved.