Projects funded by the NCN

Information on the principal investigator and host institution

Information of the project and the call

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Classification and detection of 3D DBT volumes to aid radiologists in breast cancer screening

2021/41/N/ST6/02596

Keywords:

deep learning machine learning neural networks computer vision medical imaging breast cancer detection

Descriptors:

  • ST6_011:
  • NZ5_005:

Panel:

ST6 - Computer science and informatics: informatics and information systems, computer science, scientific computing, intelligent systems

Host institution :

Uniwersytet Jagielloński, Wydział Matematyki i Informatyki

woj. małopolskie

Other projects carried out by the institution 

Principal investigator (from the host institution):

Jakub Piotr Chłędowski 

Number of co-investigators in the project: 2

Call: PRELUDIUM 20 - announced on 2021-03-15

Amount awarded: 139 573 PLN

Project start date (Y-m-d): 2022-02-14

Project end date (Y-m-d): 2026-02-13

Project duration:: 48 months (the same as in the proposal)

Project status: Pending project

Project description

Download the project description in a pdf file

Note - project descriptions were prepared by the authors of the applications themselves and placed in the system in an unchanged form.

Information in the final report

  • Publication in academic press/journals (1)
  • Articles in post-conference publications (1)
  1. An efficient deep neural network to classify large 3D images with small objects
    Authors:
    Jungkyu Park, Jakub Chłędowski, Stanisław Jastrzębski, Jan Witowski, Yanqi Xu, Linda Du, Sushma Gaddam, Eric Kim, Alana Lewin, Ujas Parikh, Anastasia Plaunova, Sardius Chen, Alexandra Millet, James Park, Kristine Pysarenko, Shalin Patel, Julia Goldberg, Melanie Wegener, Linda Moy, Laura Heacock, Beatriu Reig, Krzysztof J. Geras
    Academic press:
    IEEE Transactions on Medical Imaging (rok: 2023, tom: 43, strony: 351-365), Wydawca: IEEE Transactions on Medical Imaging
    Status:
    Published
    DOI:
    10.1109/TMI.2023.3302799 - link to the publication
  1. Exploring synthesizing 2D mammograms from 3D digital breast tomosynthesis images
    Authors:
    Jakub Chłędowski, Jungkyu Park, Krzysztof J. Geras
    Conference:
    2023 International Conference on Digital Image Computing: Techniques and Applications (DICTA) (rok: 2023, tom: 2023 International Conference on Digital Image Computing: Techniques and Applications (DICTA), strony: 562-569), Wydawca: IEEE
    Data:
    konferencja 45258
    Status:
    Published
    DOI:
    10.1109/DICTA60407.2023.00083 - link to the publication

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