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The utility of the image analytics tool developed within the Orange Data Mining suite

Version 2 2019-12-16, 09:48
Version 1 2019-08-15, 11:22
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posted on 2019-12-16, 09:48 authored by Dongsu Park, Maurizio Zuccotti, Silvia Garagna, Riccardo Bellazzi, Uroš Petrovič, Gad Shaulsky, Blaž ZupanBlaž Zupan
The data in this repository comprises four different image sets to showcase the transfer learning approach and illustrate the utility of the image analytics tool developed within the Orange Data Mining suite (http://orange.biolab.si). Each of the four image sets is available in a separate zip file. List of images with additional annotations and information on the image classification is also available in the four Excel files. The images include progenitor cells in mouse bone healing, identification of developmental competence in mouse oocytes, sub-cellular protein localization in yeast, and developmental morphology of social amoebae.

Funding

Italian Ministry of Education, University and Research (MIUR), Dipartimenti di Eccellenza Program (2018–2022) to the Department of Biology and Biotechnology ‘L. Spallanzani’, University of Pavia.

P2-0209, BI-US/17-18-014, P1-0207, and N1-0034 from Slovenian Research Agency.

Defining periosteal skeletal stem cells and novel migration mechanisms in bone regeneration and repair in vivo

National Institute of Arthritis and Musculoskeletal and Skin Diseases

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The molecular basis of allorecognition and its roles in development and evolution of the social amoeba D. discoideum

National Institute of General Medical Sciences

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