Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Ciga, Ozan"'
We investigate the utility of pretraining by contrastive self supervised learning on both natural-scene and medical imaging datasets when the unlabeled dataset size is small, or when the diversity within the unlabeled set does not lead to better repr
Externí odkaz:
http://arxiv.org/abs/2109.01721
Whole slide images (WSIs) pose unique challenges when training deep learning models. They are very large which makes it necessary to break each image down into smaller patches for analysis, image features have to be extracted at multiple scales in or
Externí odkaz:
http://arxiv.org/abs/2012.00617
Unsupervised learning has been a long-standing goal of machine learning and is especially important for medical image analysis, where the learning can compensate for the scarcity of labeled datasets. A promising subclass of unsupervised learning is s
Externí odkaz:
http://arxiv.org/abs/2011.13971
Autor:
Ciga, Ozan, Martel, Anne L.
Publikováno v:
Medical Image Analysis, Volume 68, 2021, 101912, ISSN 1361-8415
Two of the most common tasks in medical imaging are classification and segmentation. Either task requires labeled data annotated by experts, which is scarce and expensive to collect. Annotating data for segmentation is generally considered to be more
Externí odkaz:
http://arxiv.org/abs/1912.12533
Publikováno v:
Medical Image Analysis, Vol. 67, Jan 2021
Histopathological images contain rich phenotypic information that can be used to monitor underlying mechanisms contributing to diseases progression and patient survival outcomes. Recently, deep learning has become the mainstream methodological choice
Externí odkaz:
http://arxiv.org/abs/1912.12378
Despite their success in many computer vision tasks, convolutional networks tend to require large amounts of labeled data to achieve generalization. Furthermore, the performance is not guaranteed on a sample from an unseen domain at test time, if the
Externí odkaz:
http://arxiv.org/abs/1909.02620
Autor:
Lefebvre, Thierry L., Ciga, Ozan, Bhatnagar, Sahir Rai, Ueno, Yoshiko, Saif, Sameh, Winter-Reinhold, Eric, Dohan, Anthony, Soyer, Philippe, Forghani, Reza, Siddiqi, Kaleem, Seuntjens, Jan, Reinhold, Caroline, Savadjiev, Peter
Publikováno v:
In Diagnostic and Interventional Imaging March 2023 104(3):142-152
Publikováno v:
In Machine Learning with Applications 15 March 2022 7
Autor:
Ciga, Ozan1 ozan.ciga@mail.utoronto.ca, Xu, Tony2, Nofech-Mozes, Sharon3,4, Noy, Shawna5, Lu, Fang-I3,4, Martel, Anne L.1,5
Publikováno v:
Scientific Reports. 4/26/2021, Vol. 11 Issue 1, p1-10. 10p.