most citedAn Inductive Transfer Learning Approach using Cycle-consistent Adversarial Domain Adaptation with Application to Brain Tumor Segmentation

19 citations · 19 across the 1 of their papers we have counts for

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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…