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pro vyhledávání: '"Stacke, Karin"'
Autor:
Stacke, Karin, Bhattacharya, Indrani, Tse, Justin R., Brooks, James D., Sonn, Geoffrey A., Rusu, Mirabela
Renal cell carcinoma (RCC) is a common cancer that varies in clinical behavior. Indolent RCC is often low-grade without necrosis and can be monitored without treatment. Aggressive RCC is often high-grade and can cause metastasis and death if not prom
Externí odkaz:
http://arxiv.org/abs/2209.14657
Unsupervised learning has made substantial progress over the last few years, especially by means of contrastive self-supervised learning. The dominating dataset for benchmarking self-supervised learning has been ImageNet, for which recent methods are
Externí odkaz:
http://arxiv.org/abs/2112.05760
The scarcity of labeled data is a major bottleneck for developing accurate and robust deep learning-based models for histopathology applications. The problem is notably prominent for the task of metastasis detection in lymph nodes, due to the tissue'
Externí odkaz:
http://arxiv.org/abs/2109.09518
Digitization of histopathology slides has led to several advances, from easy data sharing and collaborations to the development of digital diagnostic tools. Deep learning (DL) methods for classification and detection have shown great potential, but o
Externí odkaz:
http://arxiv.org/abs/2005.10326
Domain shift is a significant problem in histopathology. There can be large differences in data characteristics of whole-slide images between medical centers and scanners, making generalization of deep learning to unseen data difficult. To gain a bet
Externí odkaz:
http://arxiv.org/abs/1909.11575
Autor:
Stacke, Karin
Segmentation of the brain into sub-volumes has many clinical applications. Manyneurological diseases are connected with brain atrophy (tissue loss). By dividingthe brain into smaller compartments, volume comparison between the compartmentscan be made
Externí odkaz:
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-128900
Autor:
Bhattacharya, Indrani1 (AUTHOR) indrani.electrical@gmail.com, Stacke, Karin2,3 (AUTHOR), Chan, Emily4 (AUTHOR), Lee, Jeong Hoon1 (AUTHOR), Tse, Justin R.1 (AUTHOR), Liang, Tie1 (AUTHOR), Brooks, James D.5 (AUTHOR), Sonn, Geoffrey A.1,5 (AUTHOR), Rusu, Mirabela1,5 (AUTHOR) mirabela.rusu@stanford.edu
Publikováno v:
Medical Physics. Oct2024, p1. 21p. 9 Illustrations, 7 Charts.
Autor:
Stacke, Karin
The impressive technical advances seen for machine learning algorithms in combination with the digitalization of medical images in the radiology and pathology departments show great promise in introducing powerful image analysis tools for image diagn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______261::b499af2ab2b30e726a653ba3be627e00
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-189009
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-189009
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