Andrzej Brodzicki
AGH University of Science and Technology
7 Papers
1 Citations
Andrzej Brodzicki is an academic researcher from AGH University of Science and Technology. The author has contributed to research in topics: Computer science & Inpainting. The author has an hindex of 2, co-authored 3 publications.
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Papers
Analysis of the ISIC image datasets: Usage, benchmarks and recommendations.
TL;DR: The International Skin Imaging Collaboration (ISIC) dataset has become a leading repository for researchers in machine learning for medical image analysis, especially in the field of skin cancer detection and malignancy assessment as discussed by the authors.
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Transfer Learning Methods as a New Approach in Computer Vision Tasks with Small Datasets
Andrzej Brodzicki,Michał Piekarski,Michał Piekarski,Dariusz Kucharski,Joanna Jaworek-Korjakowska,Marek Gorgon +5 more
TL;DR: Achieved numbers are state-of-the-art results in melanoma thickness prediction, anomaly detection and Clostridium di cile cytotoxicity classification problems.
Pre-Trained Deep Convolutional Neural Network for Clostridioides Difficile Bacteria Cytotoxicity Classification Based on Fluorescence Images.
TL;DR: A novel method to identify characteristic morphological changes in human fibroblast cells exposed to C. difficile toxins based on computer vision algorithms supported by deep learning methods is proposed by examining pre-trained VGG-19, ResNet50, Xception, and DenseNet121 convolutional neural network models with adjusted, densely connected classifiers.
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Skin_Hair Dataset: Setting the Benchmark for Effective Hair Inpainting Methods for Improving the Image Quality of Dermoscopic Images
Joanna Jaworek-Korjakowska,Anna Wojcicka,Dariusz Kucharski,Andrzej Brodzicki,Connah Kendrick,Bill Cassidy,Moi Hoon Yap +6 more
TL;DR: In this paper , the Skin_Hair dataset contains over 252 dermoscopic images including artificial hair and will be expanded over time, and the primary results of applying machine learning algorithms and GAN based architectures to the hair inpainting problem in Dermoscopy images are presented.
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