Local lesion generation is effective for capsule endoscopy image data augmentation in a limited data setting
A Chłopowiec, A Chłopowiec, KJ Galus, W Cebula, M Tabakow
Applied Soft Computing 200, 1–24
2026
Martin Tabakow
Doctor of Engineering, research and teaching staff
Martin Tabakow has extensive experience in projects applying IT solutions in medicine. His research provides solutions for computed tomography image segmentation and recognition problems, histopathology image analysis problems, capsule endoscopy pathology recognition and others.
Research groups
Education
- 2000
MSc in Computer Science
Wrocław University of Science and Technology
- 2004
PhD in Computer Science
Wrocław University of Science and Technology
Publications39
Deep learning for cancer cell detection: do we need dedicated models?
MP Karol, M Tabakow, U Markowska-Kaczmar, Ł Fuławka
Artificial Intelligence Review 57, 1–36 · Cited by 10
2024
Synthetic data generation for morphological analyses of histopathology images with deep learning models
M Tabakow, KJ Galus, A Zawisza, A Chłopowiec, A Chłopowiec, K Karanowski
Vietnam Journal of Computer Science 10(3), 373–389
2023
Counteracting data bias and class imbalance—towards a useful and reliable retinal disease recognition system
A Chłopowiec, K Karanowski, M Grzesiuk, A Chłopowiec, M Tabakow, T Skrzypczak
Diagnostics 13(11), 1–16 · Cited by 9
2023
A novel classification method using the Takagi–Sugeno model and a type-2 fuzzy rule induction approach
M Tabakow, A Chłopowiec, A Chłopowiec
Applied Sciences 13(9), 1–17 · Cited by 10
2023
Data augmentation for morphological analysis of histopathological images using deep learning
M Tabakow, K Karanowski, A Chłopowiec, A Chłopowiec, M Kasperek
Conference paper
2022
Assessment of Ki-67 proliferation index with deep learning in DCIS (ductal carcinoma in situ)
J Błaszczyk, M Tabakow, Ł Fuławka, A Hałoń
Scientific Reports 12, 1–12 · Cited by 38
2022
Morphological analysis of histopathological images using deep learning
A Zawisza, M Tabakow, K Karanowski, KJ Galus
Conference paper · Cited by 3
2021
Classification with fuzzification optimization combining fuzzy information systems and type-2 fuzzy inference
M Tabakow, A Chłopowiec, A Chłopowiec, A Dłubak
Applied Sciences 11(8), 1–18 · Cited by 17
2021
A New Region Growing Medical Image Segmentation Algorithm Based on Interval Type-2 Fuzzy Sets
M Tabakow, B Jabłoński
Advances in intelligent systems and computing
2020
A new reasoning approach combining information systems and interval type-2 fuzzy sets
M Tabakow, J Quesada
Journal of Intelligent & Fuzzy Systems 37(6), 7619–7630 · Cited by 1
2019
Recommender system based on fuzzy reasoning and information systems
Conference paper · Cited by 2
2018
Bionic hand control in real-time based on electromyography signal analysis
M Tabakow, K Fonał, RA Abd-Alhameed, R Qahwaji
Transaction on Computational Collective Intelligence XXIX 21–38 · Cited by 8
2018
Fuzzy bionic hand control in real-time based on electromyography signal analysis
M Tabakow, K Fonał, RA Abd-Alhameed, R Qahwaji
Conference paper · Cited by 8
2016
Proposition of electromyographic signal interpretation in the rehabilitation process of patients with spinal cord injuries
M Tabakow, P Kozak, S Okurowski
Advances and intelligent computations in diagnosis and control 275–286
2016
HER-2/neu Breast Cancer Diagnosis Procedure, Based on Histopathology Image Analysis
M Tabakow, H Kwaśnicka, P Kozak, M Tabakow, B Pula
IWBBIO
2014
Segmentation of histopathology HER2/neu images with fuzzy decision tree and Takagi-Sugeno reasoning
M Tabakow, P Kozak
Computers in Biology and Medicine · Cited by 15
2014
An automatic method for cell membrane extraction in histopathology HER2 images
M Tabakow, S Zaręba
Conference paper
2014
Similarity analysis of histopathology cell structures using fuzzy rough sets
M Tabakow, P Gołofit, M Podhorska-Okołów, B Pula, J Grzegrzółka
Conference paper
2013
Recognition of HER-2/neu breast cancer cell membranes with fuzzy rough sets
M Tabakow, H Kwaśnicka, P Kozak, P Dzięgiel, B Pula
Recent researches in medicine, biology and bioscience
2013
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