Sfoglia per Autore "Costaridou, L."
Items 1-4 di 4
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Assessing heterogeneity of lesion enhancement kinetics in dynamic contrast-enhanced MRI for breast cancer diagnosis
Karahaliou, A.; Vassiou, K.; Arikidis, N. S.; Skiadopoulos, S.; Kanavou, T.; Costaridou, L. (2010)The current study investigates the feasibility of using texture analysis to quantify the heterogeneity of lesion enhancement kinetics in order to discriminate malignant from benign breast lesions. A total of 82 biopsy-proven ... -
Quantifying heterogeneity of lesion uptake in dynamic contrast enhanced MRI for breast cancer diagnosis
Karahaliou, A.; Vassiou, K.; Skiadopoulos, S.; Kanavou, T.; Yiakoumelos, A.; Costaridou, L. (2009)The current study investigates whether texture features extracted from lesion kinetics feature maps can be used for breast cancer diagnosis. Fifty five women with 57 breast lesions (27 benign, 30 malignant) were subjected ... -
Texture-based quantification of lumbar intervertebral disc degeneration from conventional T2-weighted MRI
Michopoulou, S.; Costaridou, L.; Vlychou, M.; Speller, R.; Todd-Pokropek, A. (2011)Background: Disc degeneration quantification is important for monitoring the effects of new therapeutic methods, such as cell and growth factor therapy. Magnetic resonance (MR) image texture reflects biochemical and ... -
A two-stage method for microcalcification cluster segmentation in mammography by deformable models
Arikidis, N.; Vassiou, K.; Kazantzi, A.; Skiadopoulos, S.; Karahaliou, A.; Costaridou, L. (2015)Purpose: Segmentation of microcalcification (MC) clusters in x-ray mammography is a difficult task for radiologists. Accurate segmentation is prerequisite for quantitative image analysis of MC clusters and subsequent feature ...