19 citations · 25 across the 7 of their papers we have counts for
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cs.CV2020
Label-Efficient Multi-Task Segmentation using Contrastive Learning
Junichiro Iwasawa, Yuichiro Hirano, Yohei Sugawara
Obtaining annotations for 3D medical images is expensive and time-consuming, despite its importance for automating segmentation tasks. Although multi-task learning is considered an…
cs.CV2020★ 19 cited
An Inductive Transfer Learning Approach using Cycle-consistent Adversarial Domain Adaptation with Application to Brain Tumor Segmentation
Yuta Tokuoka, Shuji Suzuki, Yohei Sugawara
With recent advances in supervised machine learning for medical image analysis applications, the annotated medical image datasets of various domains are being shared extensively. G…