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Łukasz Jeleń, PhD
Email: lukasz.jelen@pwr.edu.pl
Unit: Faculty of Information and Communication Technology (N) » Department of Computer Engineering
ul. Z. Janiszewskiego 11/17, Wrocław, Poland
C-3 building, office: 230
tel. 71 320 4226
Research interests:
- Computer Vision, Pattern Recognition, Computer Aided Diagnosis, Biomedical Image Processing
Recent papers:
2020
Łukasz Jeleń Texture Description for Classification of Fine Needle Aspirates. In: Korbicz J., Maniewski R., Patan K., Kowal M. (eds) Current Trends in Biomedical Engineering and Bioimages Analysis. PCBEE 2019. Advances in Intelligent Systems and Computing, vol 1033. Springer, Cham. https://doi.org/10.1007/978-3-030-29885-2_10
Adrian Banachowicz, Anna Lis-Nawara, Michał Jeleń, Łukasz Jeleń
Convolutional Neural Networks for Dot Counting in Fluorescence in Situ Hybridization Imaging. In: Zamojski W., Mazurkiewicz J., Sugier J., Walkowiak T., Kacprzyk J. (eds) Theory and Applications of Dependable Computer Systems. DepCoS-RELCOMEX 2020. Advances in Intelligent Systems and Computing, vol 1173. Springer, Cham. https://doi.org/10.1007/978-3-030-48256-5_309
2018
Łukasz Jeleń, Michał Kulus, Tomasz Jurek
Pattern Recognition Framework for Histological Slide Segmentation. In: Saeed K., Homenda W. (eds) Computer Information Systems and Industrial Management. CISIM 2018. Lecture Notes in Computer Science, vol 11127. Springer, Cham. https://doi.org/10.1007/978-3-319-99954-8_4
2017
Muneera Alsaedi, Thomas Fevens, Adam Krzyżak, Łukasz Jeleń
Cytological malignancy grading system for fine needle aspiration biopsies of breast cancer. In: 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2017) : proceedings, Kansas City, MO, USA, Nov 13-16, 2017 / eds. Xiaohua Hu [i in.]. Danvers, MA : IEEE, cop. 2017. s. 705-709
2016
Bartosz Krawczyk, Mikel Galar, Łukasz Jeleń, Francisco Herrera
Evolutionary undersampling boosting for imbalanced classification of breast cancer malignancy. Applied Soft Computing. 2016, vol. 38, s. 714-726.
Łukasz Jeleń, Adam Krzyżak, Thomas Fevens, Michał Jeleń
Influence of feature set reduction on breast cancer malignancy classification of fine needle aspiration biopsies. Computers in Biology and Medicine. 2016, vol. 79, s. 80-91.