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The interpretability of medical image analysis models is considered a key research field. We use a dataset of eye-tracking data from five radiologists to compare the outputs of interpretability methods and the heatmaps representing where radiologists
Externí odkaz:
http://arxiv.org/abs/2112.11716
Publikováno v:
In Cortex August 2024 177:170-179
Autor:
Lanfredi, Ricardo Bigolin, Zhang, Mingyuan, Auffermann, William F., Chan, Jessica, Duong, Phuong-Anh T., Srikumar, Vivek, Drew, Trafton, Schroeder, Joyce D., Tasdizen, Tolga
Deep learning has shown recent success in classifying anomalies in chest x-rays, but datasets are still small compared to natural image datasets. Supervision of abnormality localization has been shown to improve trained models, partially compensating
Externí odkaz:
http://arxiv.org/abs/2109.14187
Autor:
Brunyé, Tad T., Balla, Agnes, Drew, Trafton, Elmore, Joann G., Kerr, Kathleen F., Shucard, Hannah, Weaver, Donald L.
Publikováno v:
In Modern Pathology July 2023 36(7)
Autor:
Ghezloo, Fatemeh, Wang, Pin-Chieh, Kerr, Kathleen F., Brunyé, Tad T., Drew, Trafton, Chang, Oliver H., Reisch, Lisa M., Shapiro, Linda G., Elmore, Joann G.
Publikováno v:
In Journal of Pathology Informatics 2022 13
Autor:
Brunyé, Tad T.1 (AUTHOR) tbruny01@tufts.edu, Drew, Trafton2 (AUTHOR), Kerr, Kathleen F.3 (AUTHOR), Shucard, Hannah3 (AUTHOR), Powell, Kate1 (AUTHOR), Weaver, Donald L.4 (AUTHOR), Elmore, Joann G.5 (AUTHOR)
Publikováno v:
PLoS ONE. 3/9/2023, Vol. 17 Issue 3, p1-20. 20p.
Autor:
Brunyé, Tad T, Konold, Catherine E, Wang, Jason, Kerr, Kathleen F, Drew, Trafton, Shucard, Hannah, Soroka, Kim, Weaver, Donald L, Elmore, Joann G
Publikováno v:
Research Methods in Medicine & Health Sciences; July 2024, Vol. 5 Issue: 3 p76-82, 7p
Autor:
Drew, Trafton, 1980
xiii, 155 p. : ill. A print copy of this thesis is available through the UO Libraries. Search the library catalog for the location and call number.
In the multiple object tracking (MOT) task, observers are presented with multiple identical objec
In the multiple object tracking (MOT) task, observers are presented with multiple identical objec
Externí odkaz:
http://hdl.handle.net/1794/10198
Autor:
Elmore, Joann G. *, Shucard, Hannah, Lee, Annie C., Wang, Pin-Chieh, Kerr, Kathleen F., Carney, Patricia A., Drew, Trafton, Brunyé, Tad T., Weaver, Donald L.
Publikováno v:
In Academic Pathology January-December 2020 7
Akademický článek
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