2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CV2023
Few Shot Learning for the Classification of Confocal Laser Endomicroscopy Images of Head and Neck Tumors
Marc Aubreville, Zhaoya Pan, Matti Sievert +7
The surgical removal of head and neck tumors requires safe margins, which are usually confirmed intraoperatively by means of frozen sections. This method is, in itself, an oversamp…
cs.CV2022
ConFUDA: Contrastive Fewshot Unsupervised Domain Adaptation for Medical Image Segmentation
Mingxuan Gu, Sulaiman Vesal, Mareike Thies +5
Unsupervised domain adaptation (UDA) aims to transfer knowledge learned from a labeled source domain to an unlabeled target domain. Contrastive learning (CL) in the context of UDA…
eess.IV2019★ 2 cited
What Do We Really Need? Degenerating U-Net on Retinal Vessel Segmentation
Weilin Fu, Katharina Breininger, Zhaoya Pan +1
Retinal vessel segmentation is an essential step for fundus image analysis. With the recent advances of deep learning technologies, many convolutional neural networks have been app…