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Titlebook: Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track; European Conference, Yuxiao Dong,Nicolas Kourtellis,Jose

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Raphael Labaca-Castro,Sebastian Franz,Gabi Dreo Rodoseke distressing to the patient. Some surgery-based renal cancer treatments like laparoscopic partial nephrectomy relys on the 3D kidney parsing on computed tomography angiography (CTA) images. Many automatic segmentation techniques have been put forward to make multi-structure segmentation of the kidn
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Paul Prasse,Jan Brabec,Jan Kohout,Martin Kopp,Lukas Bajer,Tobias Scheffere distressing to the patient. Some surgery-based renal cancer treatments like laparoscopic partial nephrectomy relys on the 3D kidney parsing on computed tomography angiography (CTA) images. Many automatic segmentation techniques have been put forward to make multi-structure segmentation of the kidn
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Jose Mathew,Meghana Negi,Rutvik Vijjali,Jairaj Sathyanarayanaalgorithms for brain tissue segmentation in iUS, especially brain tumors and resection cavity can greatly facilitate the robustness and accuracy of brain shift correction through image registration, and allow easy interpretation of the iUS. This has the potential to improve surgical outcomes and pat
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learning models have achieved remarkable success in many medical image segmentation tasks, accurate segmentation of kidney structures on computed tomography angiography (CTA) images remains challenging, due to the variable sizes of kidney tumors and the ambiguous boundaries between kidney structure
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Xin Li,Jun Liao,Li Liual sprouting under a variety of conditions. Sprouts can reoccupy abandoned synaptic sites, form new ones, or might remain or be withdrawn without forming synaptic contacts. Such abnormal outgrowth of branches, which was first described after partial denervation of a muscle (van Harreveld 1945; Weiss
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