Explainable AI for Image-Based Auxiliary Assessment of Radiation Pneumonitis on Post-Treatment CT Images Using GAN Grad-CAM and Ensemble Learning Techniques
Tsair-Fwu Lee, Guang-Zhi Lin, Wen-Ping Yun, Yi-Lun Liao, Liyun Chang, Chao-Hong Liu, Cheng-Shie Wuu, Yu-Chang Hu, Yu-Wei Lin, Pei-Ju Chao, Yang-Wei Hsieh · 2026
Read Explainable AI for Image-Based Auxiliary Assessment of Radiation Pneumonitis on Post-Treatment CT Images Using GAN Grad-CAM and Ensemble Learning Techniques by Tsair-Fwu Lee, Guang-Zhi Lin, Wen-Ping Yun, Yi-Lun Liao, Liyun Chang, Chao-Hong Liu, Cheng-Shie Wuu, Yu-Chang Hu, Yu-Wei Lin, Pei-Ju Chao, Yang-Wei Hsieh (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/PMC13514787.txt.
Description
Lee and colleagues present a 2026 study of an explainable AI framework that grades radiation pneumonitis, lung inflammation after radiotherapy, from CT scans. The data came from 46 lung cancer patients, yielding about twenty-four hundred images with and without the condition. A generative network extracted image features, and heat maps showed which areas the system attended to.
Attention maps guided the choice of feature layers, and statistical trimming cut the feature set from over twelve thousand to 730 values. A stacked ensemble, several classifiers feeding a final judge model, then made the call. The design prizes interpretability and speed alongside accuracy, so doctors can see the inflamed regions behind a grade rather than trust a black box. Early, visible grading of this side effect helps teams adjust care before breathing worsens.
Catalog record
| CREATOR | Tsair-Fwu Lee, Guang-Zhi Lin, Wen-Ping Yun, Yi-Lun Liao, Liyun Chang, Chao-Hong Liu, Cheng-Shie Wuu, Yu-Chang Hu, Yu-Wei Lin, Pei-Ju Chao, Yang-Wei Hsieh |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 60 KB |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |