Volgen
Tomasz Les
Titel
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Geciteerd door
Jaar
Automatic recognition of industrial tools using artificial intelligence approach
T Les, M Kruk, S Osowski
Expert Systems with Applications 40 (12), 4777-4784, 2013
162013
Fusion of FISH image analysis methods of HER2 status determination in breast cancer
T Les, T Markiewicz, S Osowski, W Kozlowski, M Jesiotr
Expert Systems with Applications 61, 78-85, 2016
132016
Automatic evaluation system of FISH images in breast cancer
T Les, T Markiewicz, S Osowski, M Cichowicz, W Kozlowski
Image and Signal Processing: 6th International Conference, ICISP 2014 …, 2014
132014
Deep learning ensemble for melanoma recognition
S Osowski, T Les
2020 international joint conference on neural networks (IJCNN), 1-7, 2020
122020
Automatic recognition of the kidney in CT images
T Les, T Markiewicz, M Dziekiewicz, M Lorent
19th International Conference Computational Problems of Electrical …, 2018
82018
Objects classification using fractal dimension and shape based on leaves classification
T Leś, M Kruk, S Osowski
Annals of Warsaw University of Life Sciences-SGGW. Land Reclamation, 2013
82013
Improvement of renal image recognition through resolution enhancement
A Osowska-Kurczab, T Les, T Markiewicz, M Dziekiewicz, M Lorent, ...
Expert Systems with Applications 213, 118836, 2023
72023
Localization of spots in FISH images of breast cancer using 3‐D shape analysis
T Les, T Markiewicz, S Osowski, M Jesiotr, W Kozlowski
Journal of Microscopy 262 (3), 252-259, 2016
62016
Kidney boundary detection algorithm based on extended maxima transformations for computed tomography diagnosis
T Les, T Markiewicz, M Dziekiewicz, M Lorent
Applied Sciences 10 (21), 7512, 2020
52020
Automatic reconstruction of overlapped cells in breast cancer FISH images
T Les, S OSOWSKI, T Markiewicz, M Jesiotr
Expert Systems with Applications, 2019
52019
Dots detection in HER2 FISH images based on alternative color spaces
T Les, T Markiewicz, M Jesiotr, W Kozlowski
Procedia Computer Science 90, 132-137, 2016
52016
Adaptive two-way sweeping method to 3D kidney reconstruction
T Les, T Markiewicz, M Dziekiewicz, M Lorent
Biomedical Signal Processing and Control 67, 102544, 2021
42021
U-Net based frames partitioning and volumetric analysis for kidney detection in tomographic images
T Les
Bulletin of the Polish Academy of Sciences Technical Sciences, e137051-e137051, 2021
32021
HE-to-PAS histological stain conversion by GAN in renal pathology
M Lysik, Z Swiderska-Chadaj, T Markiewicz, T Les, S Cierniak, M Lorent
2022 International Joint Conference on Neural Networks (IJCNN), 1-7, 2022
22022
Axis projection for Kidney-Region-Of-Interest detection in computed tomography
T Les, T Markiewcz, M Dziekiewicz, M Lorent
2020 International Joint Conference on Neural Networks (IJCNN), 1-6, 2020
22020
Kidney segmentation from computed tomography images using U-Net and batch-based synthesis
T Les, T Markiewcz, M Dziekiewicz, M Lorent
2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021
12021
Patch-based renal CTA image segmentation with U-Net
T Les
2020 IEEE 21st International Conference on Computational Problems of …, 2020
12020
A Flood-Fill-Based Technique for Boundary Closure of Kidney Contours in CT Images
T Les, T Markiewicz, M Dziekiewicz, M Lorent
Recent Advances in Technology Research and Education: Proceedings of the …, 2019
12019
Localization of spleen and kidney organs from CT scans based on classification of slices in rotational views
T Les, T Markiewicz, M Dziekiewicz, J Gallego, Z Swiderska-Chadaj, ...
Scientific Reports 13 (1), 5709, 2023
2023
Three-Dimensional Volumetric Renal Reconstruction Based on Geometrical Coefficients.
T Les, T Markiewicz, M Dziekiewicz, M Lorent
Studies in health technology and informatics 270, 458-462, 2020
2020
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Artikelen 1–20