Computer-aided diagnosis of breast cancer based on fine needle biopsy microscopic images M Kowal, P Filipczuk, A Obuchowicz, J Korbicz, R Monczak Computers in biology and medicine 43 (10), 1563-1572, 2013 | 303 | 2013 |
Neuro-fuzzy networks and their application to fault detection of dynamical systems J Korbicz, M Kowal Engineering applications of artificial intelligence 20 (5), 609-617, 2007 | 72 | 2007 |
Cell nuclei segmentation in cytological images using convolutional neural network and seeded watershed algorithm M Kowal, M Żejmo, M Skobel, J Korbicz, R Monczak Journal of digital imaging 33, 231-242, 2020 | 66 | 2020 |
Automatic breast cancer diagnosis based on k-means clustering and adaptive thresholding hybrid segmentation P Filipczuk, M Kowal, A Obuchowicz Image processing and communications challenges 3, 295-302, 2011 | 61 | 2011 |
Nuclei segmentation for computer-aided diagnosis of breast cancer M Kowal, P Filipczuk International Journal of Applied Mathematics and Computer Science 24 (1), 19-31, 2014 | 47 | 2014 |
Classification of breast cancer cytological specimen using convolutional neural network M Żejmo, M Kowal, J Korbicz, R Monczak Journal of Physics: Conference Series 783 (1), 012060, 2017 | 43 | 2017 |
Computer-aided diagnosis of breast cancer using Gaussian mixture cytological image segmentation M Kowal, P Filipczuk, A Obuchowicz, J Korbicz Journal of medical informatics & Technologies 17, 257--262, 2011 | 33 | 2011 |
Breast cancer nuclei segmentation and classification based on a deep learning approach M Kowal, M Skobel, A Gramacki, J Korbicz International Journal of Applied Mathematics and Computer Science 31 (1), 85-106, 2021 | 29 | 2021 |
The feature selection problem in computer–assisted cytology M Kowal, M Skobel, N Nowicki International Journal of Applied Mathematics and Computer Science 28 (4 …, 2018 | 25 | 2018 |
Fuzzy clustering and adaptive thresholding based segmentation method for breast cancer diagnosis P Filipczuk, M Kowal, A Obuchowicz Computer Recognition Systems 4, 613-622, 2011 | 25 | 2011 |
Swarm intelligence algorithms for multi-level image thresholding A Marciniak, M Kowal, P Filipczuk, J Korbicz Intelligent Systems in Technical and Medical Diagnostics, 301-311, 2014 | 21 | 2014 |
Fault detection under fuzzy model uncertainty M Kowal, J Korbicz International Journal of Automation and Computing 4, 117-124, 2007 | 19 | 2007 |
Breast fibroadenoma automatic detection using k-means based hybrid segmentation method P Filipczuk, M Kowal, A Obuchowicz 2012 9th IEEE International Symposium on Biomedical Imaging (ISBI), 1623-1626, 2012 | 18 | 2012 |
Feature selection for breast cancer malignancy classification problem P Filipczuk, M Kowal, A Marciniak Journal of Medical Informatics & Technologies 15, 193--199, 2010 | 18 | 2010 |
Segmentation of breast cancer fine needle biopsy cytological images using fuzzy clustering M Kowal, J Korbicz Advances in Machine Learning I: Dedicated to the Memory of Professor Ryszard …, 2010 | 17 | 2010 |
Multi-label fast marching and seeded watershed segmentation methods for diagnosis of breast cancer cytology P Filipczuk, M Kowal, A Obuchowicz 2013 35th Annual International Conference of the IEEE Engineering in …, 2013 | 15 | 2013 |
Optimization of neuro-fuzzy structures in technical diagnostics systems M Kowal University of Zielona Góra Press, 2005 | 13 | 2005 |
Robust fault detection using neuro-fuzzy networks M Kowal, J Korbicz IFAC Proceedings Volumes 38 (1), 185-190, 2005 | 13 | 2005 |
Computer-aided diagnosis for breast tumor classification using microscopic images of fine needle biopsy M Kowal Intelligent Systems in Technical and Medical Diagnostics, 213-224, 2014 | 12 | 2014 |
Neuro-fuzzy structures in FDI system M Mendes, M Kowal, J Korbicz, J Sa da Costa 15th Triennial World Congress of the International Federation of Automatic …, 2002 | 12 | 2002 |