It's more important that anyone looking to apply the model is able to ascertain that the exact inputs (eg type of images, at which resolution, what kind of preprocessing etc) and materials required are available in their setting. If not they are better off creating a bespoke alg
At a minimum, a #machinelearning model should be reproduced, and ideally replicated, before it is deployed in a clinical settinghttps://ja.ma/35m6Aqj
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Replication on its own is meaningless. Reproducibility worse still. One has to think about what makes a model implementable in practice without relying on these overhyped crutches
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