167 citations · 252 across the 9 of their papers we have counts for
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eess.IV2022★ 28 cited
Slice-by-slice deep learning aided oropharyngeal cancer segmentation with adaptive thresholding for spatial uncertainty on FDG PET and CT images
Alessia De Biase, Nanna Maria Sijtsema, Lisanne van Dijk +2
Tumor segmentation is a fundamental step for radiotherapy treatment planning. To define an accurate segmentation of the primary tumor (GTVp) of oropharyngeal cancer patients (OPC),…
eess.IV2020★ 49 cited
Deep convolutional neural networks for multi-planar lung nodule detection: improvement in small nodule identification
Sunyi Zheng, Ludo J. Cornelissen, Xiaonan Cui +4
Objective: In clinical practice, small lung nodules can be easily overlooked by radiologists. The paper aims to provide an efficient and accurate detection system for small lung no…