Automatic classification of pulmonary peri-fissural nodules in computed tomography using an ensemble of 2D views and a convolutional neural network out-of-the-box
Publication year
2015Source
Medical Image Analysis, 26, 1, (2015), pp. 195-202ISSN
Publication type
Article / Letter to editor
![https://hdl.handle.net/2066/154608](https://cdn.statically.io/img/repository.ubn.ru.nl/themes/Mirage2//images/copy.png)
Display more detailsDisplay less details
Organization
Medical Imaging
Journal title
Medical Image Analysis
Volume
vol. 26
Issue
iss. 1
Page start
p. 195
Page end
p. 202
Subject
Radboudumc 14: Tumours of the digestive tract RIHS: Radboud Institute for Health Sciences; Radboudumc 16: Vascular damage RIHS: Radboud Institute for Health Sciences; Radboudumc 9: Rare cancers RIHS: Radboud Institute for Health SciencesThis item appears in the following Collection(s)
- Academic publications [242014]
- Electronic publications [127395]
- Faculty of Medical Sciences [92011]
- Open Access publications [102142]
Upload full text
Use your RU credentials (u/z-number and password) to log in with SURFconext to upload a file for processing by the repository team.