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1. Breast Cancer Computer-Aided Diagnosis System Using k-NN Algorithm Based on Hausdorff Distance, 2020, Marcin Skobel , Marek Kowal , Józef Korbicz , W: Current Trends in Biomedical Engineering and Bioimages Analysis: proceedings of the 21st Polish Conference on Biocybernetics and Biomedical Engineering - PCBEE 2019, 2020 / eds. J. Korbicz, R. Maniewski, K. Patan, M. Kowal, Cham: Springer Nature Switzerland (#), (Advances in Intelligent Systems and Computing, Vol. 1033), s. 179--188, ISBN: 9783030298845
Kod: MOR-W1 BibTeX (pkt. 20) DOI: 10.1007/978-3-030-29885-2_16

2. Cell Nuclei Segmentation Using Marker-Controlled Watershed and Bayesian Object Recognition, 2019, Marcin Skobel , Marek Kowal , Józef Korbicz , Andrzej Obuchowicz , W: Information Technology in Biomedicine: Proceedings 6th International Conference, ITIB-2018, 2019 / eds. E. Pietka, P. Badura, J. Kawa, W. Wieclawek, Cham: Springer International Publishing (#), (Advances in Intelligent Systems and Computing, Vol. 762), s. 407--418, ISBN: 9783319912110
Kod: MOR-W1 BibTeX (pkt. 20) DOI: 10.1007/978-3-319-91211-0_36

3. Stochastic Geometry for Automatic Assessment of Ki-67 Index in Breast Cancer Preparations, 2018, Marek Kowal , Marcin Skobel , Józef Korbicz , Roman Monczak , W: Bioinformatics and Biomedical Engineering: 6th International Work-Conference, IWBBIO 2018, 2018 / eds. I. Rojas, F. Ortuno, Cham: Springer International Publishing (#), (Lecture Notes in Bioinformatics, 10814), s. 151--162, ISBN: 9783319787596
Kod: MOR-W1 BibTeX (pkt. 20) DOI: 10.1007/978-3-319-78759-6_15

1. Breast cancer nuclei segmentation and classification based on a deep learning approach, 2021, Marek Kowal , Marcin Skobel , Artur Gramacki , Józef Korbicz , International Journal of Applied Mathematics and Computer Science, Vol. 31, no. 1, 85--106, ISSN: 1641-876X, bibliogr. rys. tab. summ.
Słowa kluczowe: breast cancer, classification, image processing, nuclei segmentation
Kod: CZR-N-WYKAZ BibTeX (pkt. 100) DOI: 10.34768/amcs-2021-0007

Open Access: Licence: CC-BY-NC-ND, Article mode: OPEN_JOURNAL, Release time: AT_PUBLICATION, Text version: FINAL_PUBLISHED, Date of publication: 03-04-2021

2. Cell Nuclei Segmentation in Cytological Images Using Convolutional Neural Network and Seeded Watershed Algorithm, 2020, Marek Kowal , Michał Żejmo , Marcin Skobel , Józef Korbicz , Roman Monczak , Journal of Digital Imaging, Vol. 33, 231--242, ISSN: 0897-1889, eISSN: 1618-727X, bibliogr. rys. tab. wykr. summ.
Słowa kluczowe: Breast cancer, Convolutional neural networks, Mathematical morphology, Nuclei segmentation, Oversegmentation, Watershed
Kod: CZR-N-WYKAZ BibTeX (pkt. 70) DOI: 10.1007/s10278-019-00200-8

3. The feature selection problem in computer-assisted cytology, 2018, Marek Kowal , Marcin Skobel , Norbert Nowicki , International Journal of Applied Mathematics and Computer Science, Vol. 28, no. 4, 759--770, ISSN: 1641-876X, bibliogr. rys. tab. wykr. summ.
Słowa kluczowe: breast cancer, classification, convolutional neural network, feature selection, nuclei segmentation
Kod: CZR-JCR BibTeX (pkt. 25) DOI: 10.2478/amcs-2018-0058

Open Access: Licence: CC-BY-NC-ND, Article mode: OPEN_JOURNAL, Release time: AFTER_PUBLICATION, Text version: FINAL_PUBLISHED, Date of publication: 11-01-2019

1. Cell nuclei detection in breast cancer cytology images with U-Net neural network, 2021, Marcin Skobel , Marek Kowal , Józef Korbicz , W: XXII Polish Conference on Biocybernetics and Biomedical Engineering - PCBBE: Abstract Book, Warsaw, Polska, Warsaw: Committee of Biocybernetics and Biomedical Engineering of the Polish Academy of Sciences, 2021, s. 126, https://pcbbe.ibib.waw.pl/
Kod: ROZ-5 BibTeX (pkt. 0)

2. Convolution neural network in breast cancer microscopic images classification, 2020, Marcin Skobel , Marek Kowal , Józef Korbicz , W: 14th International Conference on Diagnostics of Processes and Systems - DPS: abstract book, Zielona Góra, Polska, Zielona Góra: --, 2020, s. 41, braklinku
Kod: ROZ-5 BibTeX (pkt. 0)

3. Analysis of cytological specimens using the distribution function of morphological features, 2019, Kamil Kiliszek , Marek Kowal , Marcin Skobel , Andrzej Obuchowicz , Józef Korbicz , W: 21st Polish Conference on Biocybernetics and Biomedical Engineering: Abstract Book, Zielona Góra, Polska, Zielona Góra: Oficyna Wydaw. Uniwersytetu Zielonogórskiego, 2019, s. 1, ISBN: 9788388317163, https://www.pcbbe.uz.zgora.pl/
Kod: ROZ-5 BibTeX (pkt. 0)

4. Analysis of texture features extracted from virtual slides of cytological samples, 2019, Sebastian Podgórski , Marcin Skobel , Marek Kowal , Andrzej Obuchowicz , Józef Korbicz , W: 21st Polish Conference on Biocybernetics and Biomedical Engineering: Abstract Book, Zielona Góra, Polska, Zielona Góra: Oficyna Wydaw. Uniwersytetu Zielonogórskiego, 2019, s. 1, ISBN: 9788388317163, https://www.pcbbe.uz.zgora.pl/
Kod: ROZ-5 BibTeX (pkt. 0)

5. Nuclei Recognition Using Iterated Conditional Modes Approach, 2017, Marcin Skobel , Marek Kowal , Józef Korbicz , W: 10th International Conference on Computer Recognition Systems - CORES 2017, Polanica Zdrój, Polska, Cham: Springer International Publishing, 2018, Advances in Intelligent Systems and Computing, Vol. 578, s. 326--335, ISBN: 9783319591612,
Kod: KON-WoS BibTeX (pkt. 15) DOI: 10.1007/978-3-319-59162-9_34

6. Stochastic geometry approach for segmenting complex nuclei structures in cytological images, 2017, Marcin Skobel , Marek Kowal , Józef Korbicz , W: 14th European Workshop on Advanced Control and Diagnosis - ACD 2017, Bucharest, Rumunia, New York: IEEE Xplore, 2017, s. 1--6, https://www.aconf.org/conf_128040
Słowa kluczowe: Hough Transform, nuclei recognition, recognition, stochastic geometry
Kod: KON-ANG BibTeX (pkt. 0)