AI in Medicine

Counteracting Data Bias and Class Imbalance—Towards a Useful and Reliable Retinal Disease Recognition System
Multiple studies presented satisfactory performances for the treatment of various ocular diseases. To date, there has been no study …
Konrad Karanowski, Adam R. Chłopowiec, Tomasz Skrzypczak, Mateusz Grzesiuk, Adrian B. Chłopowiec, Martin Tabakov
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Synthetic Data Generation for Morphological Analyses of Histopathology Images with Deep Learning Models
In this study, we introduce a new synthetic data generation procedure for augmentation of histopathology image data. This is an …
Martin Tabakov, Krzysztof Galus, Artur Zawisza, Adam R. Chlopowiec, Adrian B. Chlopowiec, Konrad Karanowski
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Data Augmentation for Morphological Analysis of Histopathological Images Using Deep Learning
In this study, we introduce a data augmentation procedure for histopathology image classification. This is an extension to our previous research, in which we showed the possibility to apply deep learning for morphological analysis of tumour cells.
Martin Tabakov, Konrad Karanowski, Adam R. Chłopowiec, Adrian B. Chłopowiec, Mikołaj Kasperek
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Data Augmentation for Morphological Analysis of Histopathological Images Using Deep Learning
In this study, we introduce a morphological analysis of segmented tumour cells from histopathology images concerning the recognition of cell overlapping. The main research problem considered is to distinguish how many cells are located in a structure, which is composed of overlapping cells.
Artur Zawisza, Martin Tabakov, Konrad Karanowski, Krzysztof Galus
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