Items where Division is "Faculties (pre 2018 reorg) > Faculty of Physical Sciences and Engineering (pre 2018 reorg) > Electronics & Computer Science (pre 2018 reorg) > Vision, Learning and Control (pre 2018 reorg)
Current Faculties > Faculty of Engineering and Physical Sciences > School of Electronics and Computer Science > Electronics & Computer Science (pre 2018 reorg) > Vision, Learning and Control (pre 2018 reorg)
School of Electronics and Computer Science > Electronics & Computer Science (pre 2018 reorg) > Vision, Learning and Control (pre 2018 reorg)
Current Faculties > Faculty of Engineering and Physical Sciences > School of Electronics and Computer Science > Vision, Learning and Control > Vision, Learning and Control (pre 2018 reorg)
School of Electronics and Computer Science > Vision, Learning and Control > Vision, Learning and Control (pre 2018 reorg)" and Year is 2022
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Number of items: 4.
Type: Conference or Workshop Item
| 2022
Machine learning and computer vision of bone microarchitecture can improve the fracture risk prediction provided by DXA and clinical risk factors - N.R. Fuggle, Shengyu Lu, Micheal O. Breasail, Leo Westbury, Kate Ward, Elaine Dennison, Sasan Mahmoodi, Mahesan Niranjan and Cyrus Cooper
Type: Article
| 2022
| Item availability restricted.
Type: Dataset
| 2022
| University of Southampton
Scale-equivariant UNet for histopathology image segmentation - Yilong Yang, Srinandan Dasmahapatra and Sasan Mahmoodi
Type: Conference or Workshop Item
| 2022
| OpenReview.net