766 citations · 790 across the 4 of their papers we have counts for
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cs.CV2019★ 23 cited
Learning to segment images with classification labels
Ozan Ciga, Anne L. Martel
Two of the most common tasks in medical imaging are classification and segmentation. Either task requires labeled data annotated by experts, which is scarce and expensive to collec…
eess.IV2019★ 766 cited
Deep neural network models for computational histopathology: A survey
Chetan L. Srinidhi, Ozan Ciga, Anne L. Martel
Histopathological images contain rich phenotypic information that can be used to monitor underlying mechanisms contributing to diseases progression and patient survival outcomes. R…
cs.CV2019
Multi-layer Domain Adaptation for Deep Convolutional Networks
Ozan Ciga, Jianan Chen, Anne Martel
Despite their success in many computer vision tasks, convolutional networks tend to require large amounts of labeled data to achieve generalization. Furthermore, the performance is…