Marek Kowal

Orcid: 0000-0002-9997-9612

According to our database1, Marek Kowal authored at least 24 papers between 2007 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2023
Compatible-domain Transfer Learning for Breast Cancer Classification with Limited Annotated Data.
Comput. Biol. Medicine, March, 2023

2021
Breast cancer nuclei segmentation and classification based on a deep learning approach.
Int. J. Appl. Math. Comput. Sci., 2021

2020
Cell Nuclei Segmentation in Cytological Images Using Convolutional Neural Network and Seeded Watershed Algorithm.
J. Digit. Imaging, 2020

2019
Breast Cancer Computer-Aided Diagnosis System Using k-NN Algorithm Based on Hausdorff Distance.
Proceedings of the Current Trends in Biomedical Engineering and Bioimages Analysis, 2019

Deep Neural Networks for Breast Cancer Diagnosis: Fine Needle Biopsy Scenario.
Proceedings of the Current Trends in Biomedical Engineering and Bioimages Analysis, 2019

Refinement of Convolutional Neural Network Based Cell Nuclei Detection Using Bayesian Inference.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018
The Feature Selection Problem in Computer-Assisted Cytology.
Int. J. Appl. Math. Comput. Sci., 2018

Stochastic Geometry for Automatic Assessment of Ki-67 Index in Breast Cancer Preparations.
Proceedings of the Bioinformatics and Biomedical Engineering, 2018

Cell Nuclei Segmentation Using Marker-Controlled Watershed and Bayesian Object Recognition.
Proceedings of the Information Technology in Biomedicine, 2018

Nuclei Detection in Cytological Images Using Convolutional Neural Network and Ellipse Fitting Algorithm.
Proceedings of the Artificial Intelligence and Soft Computing, 2018

2017
Nuclei Recognition Using Convolutional Neural Network and Hough Transform.
Proceedings of the Advanced Solutions in Diagnostics and Fault Tolerant Control, 2017

Nuclei Recognition Using Iterated Conditional Modes Approach.
Proceedings of the 10th International Conference on Computer Recognition Systems CORES 2017, 2017

2016
Combining Image Thresholding and Fast Marching for Nuclei Extraction in Microscopic Images.
Proceedings of the Image Processing and Communications Challenges 8, 2016

2014
Nuclei segmentation for computer-aided diagnosis of breast cancer.
Int. J. Appl. Math. Comput. Sci., 2014

Discovering Important Regions of Cytological Slides Using Classification Tree.
Proceedings of the Image Processing and Communications Challenges 6, 2014

2013
Computer-aided diagnosis of breast cancer based on fine needle biopsy microscopic images.
Comput. Biol. Medicine, 2013

Multi-label fast marching and seeded watershed segmentation methods for diagnosis of breast cancer cytology.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

Swarm Optimization and Multi-level Thresholding of Cytological Images for Breast Cancer Diagnosis.
Proceedings of the 8th International Conference on Computer Recognition Systems CORES 2013, 2013

2012
Breast fibroadenoma automatic detection using k-means based hybrid segmentation method.
Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

2011
Fuzzy Clustering and Adaptive Thresholding Based Segmentation Method for Breast Cancer Diagnosis.
Proceedings of the Computer Recognition Systems 4, 2011

Automatic Breast Cancer Diagnosis Based on K-Means Clustering and Adaptive Thresholding Hybrid Segmentation.
Proceedings of the Image Processing and Communications Challenges 3, 2011

2010
Segmentation of Breast Cancer Fine Needle Biopsy Cytological Images Using Fuzzy Clustering.
Proceedings of the Advances in Machine Learning I: Dedicated to the Memory of Professor Ryszard S. Michalski, 2010

2007
Fault detection under fuzzy model uncertainty.
Int. J. Autom. Comput., 2007

Neuro-fuzzy networks and their application to fault detection of dynamical systems.
Eng. Appl. Artif. Intell., 2007


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