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@@ -115,3 +115,36 @@ The dataset contains medical images and related metadata. While no explicit pers
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  ### Recommendations
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  Users should be aware of the inherent biases in the clinical setting of data collection and the technical limitations of the calibration process.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ### Recommendations
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  Users should be aware of the inherent biases in the clinical setting of data collection and the technical limitations of the calibration process.
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+ ## Additional Information
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+
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+ ### Citation Information
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+
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+ **Dataset paper**
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+
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+ ```bibtex
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+ @article{rodriguez2024dataset,
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+ title={Dataset of breast thermography images for the detection of benign and malignant masses},
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+ author={Rodriguez-Guerrero, Steve and Loaiza-Correa, Humberto and Restrepo-Gir{\'o}n, Andr{\'e}s-David and Reyes, Luis Alberto and Olave, Luis Alberto and Diaz, Saul and Pacheco, Robinson},
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+ journal={Data in Brief},
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+ volume={54},
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+ pages={110503},
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+ year={2024},
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+ publisher={Elsevier}
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+ }
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+ ```
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+
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+ **Our research paper**
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+
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+ ```bibtex
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+ @INPROCEEDINGS{pintobreastcatt,
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+ author={Pinto, Guillermo and León, Julián and Quintero, Brayan and Villamizar, Dana and Rueda-Chacón, Hoover},
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+ booktitle={2025 IEEE Colombian Conference on Applications of Computational Intelligence (ColCACI)},
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+ title={Multimodal Vision-Language Transformer for Thermography Breast Cancer Classification},
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+ year={2025},
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+ volume={},
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+ number={},
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+ pages={1-6},
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+ keywords={Sensitivity;Translation;Mortality;Infrared imaging;Medical services;Metadata;Transformers;Breast cancer;Standards;Periodic structures;Breast cancer;deep learning;thermography;vision-language transformer;clinical metadata;cross-attention},
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+ doi={10.1109/ColCACI67437.2025.11230909}}
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+ ```