PERS - System Informacji o Pracownikach

SKEP - Wyniki wyszukiwania wśród publikacji


Szukanie:
w opisie bibliograficznym
Wprowadzona fraza:
(Skobel)
Opublikowano w latach:
1900 - 2100
Znaleziono:
13 (spośród około 72834)

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)
[KONF-23811] [data modyf. 14-10-2021 15:58]

2.
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
Cytowania wg WOS: 14 [18-12-2023], JIF: 2.157
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
[AWCZ-31781] [data modyf. 30-06-2022 10:40]

3. 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)
[KONF-23706] [data modyf. 12-10-2021 11:07]

4.
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
Cytowania wg WOS: 0 [25-12-2023],
[WZCZ-21005] [data modyf. 06-04-2021 14:00]

5.
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
Cytowania wg WOS: 38 [01-01-2024], JIF: 4.056
[AWCZ-24138] [data modyf. 02-05-2022 14:17]

6. 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)
[KONF-23537] [data modyf. 11-10-2021 10:01]

7.
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
Cytowania wg WOS: 1 [01-01-2024],
[WZCZ-20177] [data modyf. 06-04-2021 14:00]

8. 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)
[KONF-23538] [data modyf. 11-10-2021 10:00]

9.
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
Cytowania wg WOS: 15 [01-01-2024], JIF: 1.504
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
[AWCZ-23504] [data modyf. 22-06-2022 14:11]

10.
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
Cytowania wg WOS: 0 [01-01-2024],
[WZCZ-20176] [data modyf. 06-04-2021 14:00]

11. 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)
[KONF-22828] [data modyf. 12-10-2021 10:54]

12.
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
Cytowania wg WOS: 1 [01-01-2024],
[KONF-23039] [data modyf. 29-09-2021 11:31]

13.
Badania rozkładów odkształceń poziomych w rozetach pomiarowych, 2014, Tomasz Stoch , Janusz Ostrowski , Zygmunt Niedojadło , Paweł Sopata , Marcin Skobel(*) , Przegląd Górniczy, nr 8, 165--170, ISSN: 0033-216X, bibliogr. rys. tab. summ.
Słowa kluczowe: impact of mining exploitation, land surface deformation process, land surface horizontal deformations, measurement rosettes, odkształcenia poziome powierzchni terenu, proces deformacji powierzchni terenu, rozety pomiarowe, wpływy eksploatacji górniczej
Kod: CZR-WYKAZ BibTeX (pkt. 6)
[AWCZ-23503] [data modyf. 06-04-2021 14:00]