We empirically examine the impact of supervising models with increased spatial specificity on two medical image datasets known to have spurious features: ...
Feb 5, 2023 · We find that two properties of the data are impacted when we increase spatial specificity: the variance of the positively-labeled input pixels ...
Reducing reliance on spurious features in medical image classification with spatial specificity. K Saab, S Hooper, M Chen, M Zhang, D Rubin, C Re. Machine ...
Ré. Reducing Reliance on Spurious Features in Medical Image Classification with Spatial Specificity. Machine Learning for Healthcare, 2022. 6. S. M. Hooper, M.
Duration: 3:09
Posted: Aug 1, 2022
Posted: Aug 1, 2022
Reducing Reliance on Spurious Features in Medical Image Classification with Spatial Specificity Khaled Saab, Sarah Hooper, Mayee Chen, Michael Zhang, ...
Reducing reliance on spurious features in medical image classification with spatial specificity. ... objectives (e.g., methods for reducing reliance on spurious ...
A case for reframing automated medical image classification ... Reducing Reliance on Spurious Features in Medical Image Classification with Spatial Specificity.
People also ask
Which deep learning model is best for medical image classification?
What is medical image classification research?
Co-authors ; Reducing reliance on spurious features in medical image classification with spatial specificity. K Saab, S Hooper, M Chen, M Zhang, D Rubin, C Re.
May 30, 2024 · Reducing reliance on spurious features in medical image classification with spatial specificity. 2022.Google Scholar Google Scholar; Peter L ...