21. Automatic segmentation and reconstruction of intracellular compartments in volumetric electron microscopy dataManca Žerovnik Mekuč, Ciril Bohak, Eva Boneš, Samo Hudoklin, Rok Romih, Matija Marolt, 2022, izvirni znanstveni članek Ključne besede: reconstruction, instance segmentation, electron microscopy, mitochondria, Golgi apparatus, fusiform vesicles, urothelium, deep learning, intracellular compartments Celotno besedilo (datoteka, 4,21 MB) Gradivo ima več datotek! Več... |
22. Detecting surface anomalies with deep learningDomen Rački, 2022, doktorska disertacija Ključne besede: Surface defect detection, visual inspection, quality control, solid oral dosage forms, pharmaceutical industry, deep learning, segmentation, convolutional neural networks, visual anomaly detection Celotno besedilo (datoteka, 11,17 MB) |
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26. On methods for merging mixture model components suitable for unsupervised image segmentation tasksBranislav Panić, Marko Nagode, Jernej Klemenc, Simon Oman, 2022, izvirni znanstveni članek Ključne besede: mixture models, parameter estimation, clustering, unsupervised image segmentation Celotno besedilo (datoteka, 3,79 MB) Gradivo ima več datotek! Več... |
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28. HaN-SegGašper Podobnik, Primož Strojan, Primož Peterlin, Bulat Ibragimov, Tomaž Vrtovec, 2023, izvirni znanstveni članek Ključne besede: auto-segmentation, image dataset, computed tomography, magnetic resonance, radiation therapy, head and neck cancer Celotno besedilo (datoteka, 3,10 MB) Gradivo ima več datotek! Več... |
29. Identifying differences in consumer attitudes towards local foods in organic and national voluntary quality certification schemesHristo Hristov, Karmen Erjavec, Igor Pravst, Luka Juvančič, Aleš Kuhar, 2023, izvirni znanstveni članek Ključne besede: quality schemes, selected quality, organic label, trust, segmentation, local food, consumer attitudes Celotno besedilo (datoteka, 651,69 KB) Gradivo ima več datotek! Več... |
30. Brain Tumor Segmentation on MRI BraTS Data using convolutional neural networks: experimental study and comparisonIrena Dragičević, 2023, magistrsko delo Ključne besede: master's theses, radiologic technology, convolutional neural networks, U-Net, BraTS, glioma segmentation, multimodal segmentation, medical image segmentation, machine learning Celotno besedilo (datoteka, 4,11 MB) |