Search Results - "Arzhaeva, Yulia"

Image Classification to Support Emergency Situation Awareness by Lagerstrom, Ryan, Arzhaeva, Yulia, Szul, Piotr, Obst, Oliver, Power, Robert, Robinson, Bella, Bednarz, Tomasz

“…Recent advances in image classification methods, along with the availability of associated tools, has seen their use become widespread in many domains. This…”
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Spotsizer: High-throughput quantitative analysis of microbial growth by Bischof, Leanne, Převorovský, Martin, Rallis, Charalampos, Jeffares, Daniel C, Arzhaeva, Yulia, Bähler, Jürg

“…Microbial colony growth can serve as a useful readout in assays for studying complex genetic interactions or the effects of chemical compounds. Although…”
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Cloud based toolbox for image analysis, processing and reconstruction tasks by Bednarz, Tomasz, Wang, Dadong, Arzhaeva, Yulia, Lagerstrom, Ryan, Vallotton, Pascal, Burdett, Neil, Khassapov, Alex, Szul, Piotr, Chen, Shiping, Sun, Changming, Domanski, Luke, Thompson, Darren, Gureyev, Timur, Taylor, John A

“…This chapter describes a novel way of carrying out image analysis, reconstruction and processing tasks using cloud based service provided on the Australian…”
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906Can mammographic density add value to the Gail model in risk-stratifying women in BreastScreen Australia? by Velentzis, Louiza, Procopio, Pietro, Carr, Sarah, Devereux, Lisa, Mann, Bruce, James, Paul, Lee, Grant, Wellard, Cameron, Arzhaeva, Yulia, Nickson, Carolyn

“…Abstract Background There is significant interest in personalised, risk-based breast cancer screening. This requires high quality risk assessment. The ‘Gail…”
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Adaptive local multi-atlas segmentation: Application to the heart and the caudate nucleus by van Rikxoort, Eva M., Isgum, Ivana, Arzhaeva, Yulia, Staring, Marius, Klein, Stefan, Viergever, Max A., Pluim, Josien P.W., van Ginneken, Bram

“…Atlas-based segmentation is a powerful generic technique for automatic delineation of structures in volumetric images. Several studies have shown that…”
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Pollen image classification using the Classifynder system: algorithm comparison and a case study on New Zealand honey by Lagerstrom, Ryan, Holt, Katherine, Arzhaeva, Yulia, Bischof, Leanne, Haberle, Simon, Hopf, Felicitas, Lovell, David

“…We describe an investigation into how Massey University's Pollen Classifynder can accelerate the understanding of pollen and its role in nature. The…”
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AutoDensity: an automated method to measure mammographic breast density that predicts breast cancer risk and screening outcomes by Nickson, Carolyn, Arzhaeva, Yulia, Aitken, Zoe, Elgindy, Tarek, Buckley, Mitchell, Li, Min, English, Dallas R, Kavanagh, Anne M

“…While Cumulus - a semi-automated method for measuring breast density - is utilised extensively in research, it is labour-intensive and unsuitable for screening…”
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Syn3DWound: A Synthetic Dataset for 3D Wound Bed Analysis by Lebrat, Leo, Cruz, Rodrigo Santa, Chierchia, Remi, Arzhaeva, Yulia, Armin, Mohammad Ali, Goldsmith, Joshua, Oorloff, Jeremy, Reddy, Prithvi, Nguyen, Chuong, Petersson, Lars, Barakat-Johnson, Michelle, Luscombe, Georgina, Fookes, Clinton, Salvado, Olivier, Ahmedt-Aristizabal, David

“…Wound management poses a significant challenge, particularly for bedridden patients and the elderly. Accurate diagnostic and healing monitoring can…”
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Automated estimation of progression of interstitial lung disease in CT images by Arzhaeva, Yulia, Prokop, Mathias, Murphy, Keelin, van Rikxoort, Eva M., de Jong, Pim A., Gietema, Hester A., Viergever, Max A., van Ginneken, Bram

“…Purpose: A system is presented for automated estimation of progression of interstitial lung disease in serial thoracic CT scans. Methods: The system compares…”
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Automated estimation of progression of interstitial lung diseasein CT images by Arzhaeva, Yulia, Prokop, Mathias, Murphy, Keelin, van Rikxoort, Eva M., de Jong, Pim A., Gietema, Hester A., Viergever, Max A., van Ginneken, Bram

“…Purpose: A system is presented for automated estimation of progression of interstitial lung disease in serial thoracic CT scans. Methods: The system compares…”
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Computer-aided detection of interstitial abnormalities in chest radiographs using a reference standard based on computed tomography by Arzhaeva, Yulia, Prokop, Mathias, Tax, David M. J., De Jong, Pim A., Schaefer–Prokop, Cornelia M., van Ginneken, Bram

“…A computer-aided detection (CAD) system is presented for the localization of interstitial lesions in chest radiographs. The system analyzes the complete lung…”
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Automated Pneumoconiosis Detection on Chest X-Rays Using Cascaded Learning with Real and Synthetic Radiographs by Wang, Dadong, Arzhaeva, Yulia, Devnath, Liton, Qiao, Maoying, Amirgholipour, Saeed, Liao, Qiyu, McBean, Rhiannon, Hillhouse, James, Luo, Suhuai, Meredith, David, Newbigin, Katrina, Yates, Deborah

“…Pneumoconiosis is an incurable respiratory disease caused by long-term inhalation of respirable dust. Due to small pneumoconiosis incidence and restrictions on…”
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Syn3DWound: A Synthetic Dataset for 3D Wound Bed Analysis by Lebrat, Léo, Cruz, Rodrigo Santa, Chierchia, Remi, Arzhaeva, Yulia, Armin, Mohammad Ali, Goldsmith, Joshua, Oorloff, Jeremy, Reddy, Prithvi, Nguyen, Chuong, Petersson, Lars, Barakat-Johnson, Michelle, Luscombe, Georgina, Fookes, Clinton, Salvado, Olivier, Ahmedt-Aristizabal, David

“…Wound management poses a significant challenge, particularly for bedridden patients and the elderly. Accurate diagnostic and healing monitoring can…”
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Global and local multi-valued dissimilarity-based classification: application to computer-aided detection of tuberculosis by Arzhaeva, Yulia, Hogeweg, Laurens, de Jong, Pim A, Viergever, Max A, van Ginneken, Bram

“…In many applications of computer-aided detection (CAD) it is not possible to precisely localize lesions or affected areas in images that are known to be…”
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Image Classification from Generalized Image Distance Features: Application to Detection of Interstitial Disease in Chest Radiographs by Arzhaeva, Y., van Ginneken, B., Tax, D.

“…One of the most important tasks in medical image analysis is to detect the absence or presence of disease in an image, without having precise delineations of…”
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Linear model combining by optimizing the Area under the ROC curve by Tax, D.M.J., Duin, R.P.W., Arzhaeva, Y.

“…In some classification problems, like the detection of illnesses in patients, classes are very unbalanced and the misclassification costs for different classes…”
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