Projects funded by the NCN

Information on the principal investigator and host institution

Information of the project and the call

Keywords

Equipment

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Supporting software to assist pathologist in evaluation of immunohistochemically stained tissue samples of breast cancer stained with DAB&H

2013/11/N/ST7/02797

Keywords:

Pathology Breast Cancer Immunohistochemistry IHC tissue microarray TMA Histological image processing Image processing Image segmentation Colour deconvolution Neural network

Descriptors:

  • ST7_11: Electronic, optoelectronic and photonic components and systems for applications (e.g. in biomedical engineering)
  • ST6_8: Computer graphics, image processing, computer vision, multimedia, computer games
  • NZ4_5: Anatomical pathology

Panel:

ST7 - Systems and communication engineering: electronics, communication, optoelectronics

Host institution :

Instytut Biocybernetyki i Inżynierii Biomedycznej im. Macieja Nałęcza PAN

woj. mazowieckie

Other projects carried out by the institution 

Principal investigator (from the host institution):

Łukasz Roszkowiak 

Number of co-investigators in the project: 3

Call: PRELUDIUM 6 - announced on 2013-09-16

Amount awarded: 150 000 PLN

Project start date (Y-m-d): 2014-09-11

Project end date (Y-m-d): 2019-09-10

Project duration:: 60 months (the same as in the proposal)

Project status: Project settled

Equipment purchased [PL]

  1. Laptop (5 200 PLN)
  2. Oprogramowanie (6 300 PLN)
  3. Zewnętrzny dysk twardy (500 PLN)

Information in the final report

  • Publication in academic press/journals (2)
  • Articles in post-conference publications (4)
  1. Clustered nuclei splitting based on recurrent distance transform in digital pathology images
    Authors:
    Lukasz Roszkowiak, Anna Korzynska, Dorota Pijanowska, Ramon Bosch, Marylene Lejeune, Carlos Lopez
    Academic press:
    EURASIP Journal on Image and Video Processing (rok: 2020, tom: 26, strony: 16), Wydawca: Springer
    Status:
    Published
    DOI:
    10.1186/s13640-020-00514-6 - link to the publication
  2. CHISEL: System for quantitative evaluation of DAB\&H-stained breast cancer biopsy digital images
    Authors:
    Łukasz Roszkowiak, Anna Korzyńska, Krzysztof Siemion, Jakub Żak, Dorota Pijanowska, Ramon Bosch, Marylene Lejeune, Carlos Lopez
    Academic press:
    Medical Image Analysis , Wydawca: Elsevier
    Status:
    Submitted
    DOI:
    brak - link to the publication
  1. The Influence of Object Refining in Digital Pathology
    Authors:
    Łukasz Roszkowiak, Anna Korzynska, Krzysztof Siemion, Dorota Pijanowska
    Conference:
    10th International Conference on Image Processing and Communications (rok: 2018, ), Wydawca: Springer
    Data:
    konferencja 14-16 listopada
    Status:
    Published
    DOI:
    link to the publication
  2. Nuclei Detection with Local Threshold Processing in DAB&H Stained Breast Cancer Biopsy Images
    Authors:
    Łukasz Roszkowiak, Jakub Żak, Krzysztof Siemion, Dorota Pijanowska, Anna Korzyńska
    Conference:
    International Conference on Computer Vision and Graphics 2020 (ICCVG 2020) (rok: 2020, ), Wydawca: Springer
    Data:
    konferencja 14-16 Września 2020
    Status:
    Published
  3. Segmentacja immunonegatywnych jąder komórkowych w obrazach barwionych preparatów immunohistochemicznych raka sutka z użyciem DAB&H – analiza wstępna
    Authors:
    Łukasz Roszkowiak, Anna Korzyńska, Dorota Pijanowska
    Conference:
    XIX Krajowa Konferencja Naukowa Biocybernetyka i Inżynieria Biomedyczna (rok: 2015, ), Wydawca: IBIB PAN
    Data:
    konferencja 14-16 października 2015
    Status:
    Published
  4. Short survey: adaptive threshold methods used to segment immunonegative cells from simulated images of follicular lymphoma stained with 3,3'-Diaminobenzidine&Haematoxylin
    Authors:
    Łukasz Roszkowiak, Anna Korzynska, Dorota Pijanowska
    Conference:
    2015 Federated Conference on Computer Science and Information Systems, FedCSIS 2015 (rok: 2015, ), Wydawca: IEEE
    Data:
    konferencja 13-16 Września 2015
    Status:
    Published
    DOI:
    link to the publication

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