most citedMedSelect: Selective Labeling for Medical Image Classification Combining Meta-Learning with Deep Reinforcement Learning

4 citations · 4 across the 3 of their papers we have counts for

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cs.CV2021★ 4 cited

MedSelect: Selective Labeling for Medical Image Classification Combining Meta-Learning with Deep Reinforcement Learning

Akshay Smit, Damir Vrabac, Yujie He +3

We propose a selective learning method using meta-learning and deep reinforcement learning for medical image interpretation in the setting of limited labeling resources. Our method…

cs.CV2020

DLBCL-Morph: Morphological features computed using deep learning for an annotated digital DLBCL image set

Damir Vrabac, Akshay Smit, Rebecca Rojansky +5

Diffuse Large B-Cell Lymphoma (DLBCL) is the most common non-Hodgkin lymphoma. Though histologically DLBCL shows varying morphologies, no morphologic features have been consistentl…