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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Object segmentation in cytological microscopic images using stochastic geometry

2015/17/B/ST7/03704

Keywords:

image recognition image segmentation cytodiagnosis image classification stochastic geometry computation intelligence systems

Descriptors:

  • ST7_11: Electronic, optoelectronic and photonic components and systems for applications (e.g. in biomedical engineering)
  • ST6_11: Machine learning, statistical data processing and applications using signal processing (e.g. speech, image, video)
  • NZ5_5: Diagnostics in human diseases

Panel:

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

Host institution :

Uniwersytet Zielonogórski, Wydział Informatyki, Elektrotechniki i Automatyki

woj. lubuskie

Other projects carried out by the institution 

Principal investigator (from the host institution):

prof. Józef Korbicz 

Number of co-investigators in the project: 9

Call: OPUS 9 - announced on 2015-03-16

Amount awarded: 704 200 PLN

Project start date (Y-m-d): 2016-02-12

Project end date (Y-m-d): 2019-08-11

Project duration:: 42 months (the same as in the proposal)

Project status: Project settled

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.

Equipment purchased [PL]

  1. Karta graficzna GeForce GTX 1080Ti 11GB.
  2. Laptop: Proc: i7, RAM: 4GB, HDD: 500, VGA: K610, Ekran 15: FullHD, WIN8P (5 000 PLN)
  3. Monitor full HD 21.5'' (3 szt.) (1 200 PLN)
  4. Laptop : Proc: i7, RAM: 8GB, HDD: 500, VGA: NVIDIA Quadro K1100M, Ekran 15": FullHD, WIN8P lub 7 (2 szt.) (11 000 PLN)

Information in the final report

  • Publication in academic press/journals (2)
  • Articles in post-conference publications (13)
  • Book publications / chapters in book publications (1)
  1. The feature selection problem in computer-assisted cytology
    Authors:
    Marek Kowal, Marcin Skobel, Norbert Nowicki
    Academic press:
    International Journal of Applied Mathematics and Computer Science (rok: 2018, tom: 28, strony: 759-770), Wydawca: University of Zielona Góra
    Status:
    Published
    DOI:
    10.2478/amcs-2018-0058 - link to the publication
  2. Cell nuclei segmentation in cytological images using convolutional neural network and seeded watershed algorithm
    Authors:
    Marek Kowal, Michał Żejmo, Marcin Skobel, Józef Korbicz, Roman Monczak
    Academic press:
    Journal of Digital Imaging (rok: 2019, tom: w wersji online, strony: 45303), Wydawca: Springer
    Status:
    Published
    DOI:
    10.1007/s10278-019-00200-8 - link to the publication
  1. Classification of breast cancer cytological specimen using convolutional neural network
    Authors:
    Michał Żejmo, Marek Kowal, Józef Korbicz, Roman Monczak
    Conference:
    13th European Workshop on Advanced Control and Diagnosis (rok: 2016, ), Wydawca: IOP Publishing
    Data:
    konferencja 17.11-18.11
    Status:
    Published
  2. Combining image thresholding and fast marching for nuclei extraction in microscopic images
    Authors:
    Marek Kowal, Przemysław Jacewicz, Józef Korbicz
    Conference:
    7th International Conference on Image Processing and Communications, IPC (rok: 2016, ), Wydawca: Springer International Publishing
    Data:
    konferencja 07.09-09.09
    Status:
    Published
  3. Nuclei Detection in Cytological Images Using Convolutional Neural Network and Ellipse Fitting Algorithm
    Authors:
    Marek Kowal, Michał Żejmo, Józef Korbicz
    Conference:
    17th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2018 (rok: 2018, ), Wydawca: Springer International Publishing
    Data:
    konferencja 3.06-7.06
    Status:
    Published
  4. Stochastic geometry approach for segmenting complex nuclei structures in cytological images
    Authors:
    Marcin Skobel, Marek Kowal, Józef Korbicz
    Conference:
    14th European Workshop on Advanced Control and Diagnosis, ACD 2017 (rok: 2017, ), Wydawca: IEEE Explore
    Data:
    konferencja 17.11-18.11
    Status:
    Published
  5. Stochastic geometry for automatic assessment of Ki-67 index in breast cancer preparations
    Authors:
    Marek Kowal, Marcin Skobel, Józef Korbicz, Roman Monczak
    Conference:
    International Conference on Bioinformatics and Biomedical Engineering, IWBBIO 2018 (rok: 2018, ), Wydawca: Springer International Publishing
    Data:
    konferencja 25.04-27.04
    Status:
    Published
  6. Breast Cancer Computer-Aided Diagnosis System Using k-NN Algorithm Based on Hausdorff Distance
    Authors:
    Marcin Skobel, Marek Kowal, Józef Korbicz
    Conference:
    21st Polish Conference on Biocybernetics and Biomedical Engineering, PCBBE (rok: 2019, ), Wydawca: Springer
    Data:
    konferencja 25.09-27.09
    Status:
    Published
  7. Deep Neural Networks for Breast Cancer Diagnosis: Fine Needle Biopsy Scenario
    Authors:
    Bartosz Miselis, Thomas Fevens, Adam Krzyżak, Marek Kowal, Roman Monczak
    Conference:
    21st Polish Conference on Biocybernetics and Biomedical Engineering (rok: 2019, ), Wydawca: Springer
    Data:
    konferencja 25.09-27.09
    Status:
    Published
  8. Using Toboggan Segmentation in Detection of Centers and Radius of Cell Nuclei
    Authors:
    Przemysław Jacewicz, Józef Korbicz
    Conference:
    International Conference on Image Processing & Communications, IP&C 2017 (rok: 2017, ), Wydawca: Springer International Publishing
    Data:
    konferencja 13.09-15.09
    Status:
    Published
  9. Cell nuclei segmentation using marker-controlled watershed and Bayesian object recognition
    Authors:
    Marcin Skobel, Marek Kowal, Józef Korbicz, Andrzej Obuchowicz
    Conference:
    6th International Conference on Information Technologies in Biomedicine, ITIB 2018 (rok: 2018, ), Wydawca: Springer International Publishing
    Data:
    konferencja 18.06-20.06
    Status:
    Published
  10. Marked point process for nuclei detection in breast cancer microscopic images
    Authors:
    Marek Kowal, Józef Korbicz
    Conference:
    20th Polish Conference on Biocybernetics and Biomedical Engineering, PCBBE (rok: 2017, ), Wydawca: Springer International Publishing
    Data:
    konferencja 20.09-22.09
    Status:
    Published
  11. Nuclei recognition using Convolutional Neural Network and Hough Transform
    Authors:
    Michał Żejmo, Marek Kowal, Józef Korbicz, Roman Monczak
    Conference:
    13th International Science Conference on Diagnostics of Processes and Systems, DPS (rok: 2017, ), Wydawca: Springer International Publishing
    Data:
    konferencja 10.09-13.09
    Status:
    Published
  12. Nuclei recognition using Iterated Conditional Modes approach
    Authors:
    Marcin Skobel, Marek Kowal, Józef Korbicz
    Conference:
    10th International Conference on Computer Recognition Systems, CORES (rok: 2017, ), Wydawca: Springer International Publishing
    Data:
    konferencja 22.05-24.05
    Status:
    Published
  13. Refinement of Convolutional Neural Network Based Cell Nuclei Detection Using Bayesian Inference
    Authors:
    Marek Kowal, Józef Korbicz
    Conference:
    41st International Engineering in Medicine and Biology Conference, EMBC 2019 (rok: 2019, ), Wydawca: IEEE
    Data:
    konferencja 43669
    Status:
    Published
  1. n.d.
    Authors:
    Andrzej Obuchowicz
    Book:
    Stable Mutations for Evolutionary Algorithms (rok: 2019, tom: 797, strony: n.d.), Wydawca: Springer International Publishing
    Status:
    Published

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