Medical Imaging
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Metrics reloaded: recommendations for image analysis validation
Maier-Hein, L., Reinke, A., Godau, P., et al. (2024). Metrics reloaded: recommendations for image analysis validation. Nature Methods, 21(2), 195-212. doi: 10.1038/s41592-023-02151-z There is growing evidence that problems with validating machine learning (ML) algorithms are a global issue that’s often overlooked. Read MoreDec. 16, 2024
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Multiplexed 3D atlas of state transitions and immune interaction in colorectal cancer
Lin, J.-R., Wang, S., Coy, S., Chen, Y.-A., Yapp, C., Tyler, M., Nariya, M. K., Heiser, C. N., Lau, K. S., Santagata, S., & Sorger, P. K. (2023). Multiplexed 3D atlas of state transitions and immune interaction in colorectal cancer. Cell, 186(2), 363-381.e13. doi: 10.1016/j.cell.2022.12.028 … Read MoreDec. 16, 2024
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Transforming medical imaging with Transformers? A comparative review of key properties, current progresses, and future perspectives
Li, J., Chen, J., Tang, Y., Wang, C., Landman, B. A., & Zhou, S. K. (2023). Transforming medical imaging with Transformers? A comparative review of key properties, current progresses, and future perspectives. Medical Image Analysis, 85, 102762. doi: 10.1016/j.media.2023.102762 Transformer, a recent advancement in deep… Read MoreDec. 16, 2024