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Can texture features computed from the joint intensity distribution of different MRI sequences accurately predict prostate cancer grade?
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@article{{JMAI}{4593}, author = {Stavrinides, V., Echeverria, L., Whitaker, H.}, title = {Can texture features computed from the joint intensity distribution of different MRI sequences accurately predict prostate cancer grade?}, journal = {Journal of Medical Artificial Intelligence}, volume = {1}, number = {0}, year = {2018}, url = {https://jmai.amegroups.org/article/view/4593} }