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Search results for: medical imaging
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Validity of MRI brain perfusion imaging method
PublicationW artykule zaprezentowano zbiór analiz dotyczących walidacji metody DSC-MRI. Zbadano wpływ rozmycia, opóźnienia, niskiego SNR bolusa oraz innych możliwych źródeł zakłócających wartość parametru perfuzji. Różne metody uzyskiwania parametrów perfuzji zostały zaprezentowane i porównane.
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Color-based Detection of Bleeding in Endoscopic Images
PublicationIn this paper a color descriptor designed for bleeding detection in endoscopic images is proposed. The development of the algorithm was carried out on a representative training set of 36 images of bleeding and 25 clear images. Another 38 bleeding and 26 normal images were used in the final stage as a test set. All of the considered images were extracted from separate endoscopic examinations. The experiments include color distribution...
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The use of the static thermography in monitoring flap perfusion in breast reconstruction with TRAM flap
PublicationThis paper shows results of the static thermography for intraoperative and postoperative imaging of TRAM flap perfusion. The results were compared with the clinical examination of flap perfusion. The study was conducted on a group of 38 female patients who underwent breast reconstruction.
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Comparison of perforator location in dynamic and static thermographic imaging with Doppler ultrasound in breast reconstruction surgery
PublicationThis paper co mpares the effectiveness of the dTnorm and t90_10 parametrizations in dynamic thermography for imaging location of perforators in TRAM flaps in the intraoperative period. The results were compared with the location detected in a Doppler ultrasound examination. Cold and heat stimulation was used in dynamic thermography. Additionally, these results were compared with static...
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Segmentation Quality Refinement in Large-Scale Medical Image Dataset with Crowd-Sourced Annotations
PublicationDeployment of different techniques of deep learning including Convolutional Neural Networks (CNN) in image classification systems has accomplished outstanding results. However, the advantages and potential impact of such a system can be completely negated if it does not reach a target accuracy. To achieve high classification accuracy with low variance in medical image classification system, there is needed the large size of the...