Search Results - Samuelson FW*

Investigation of reading mode and relative sensitivity as factors that influence reader performance when using computer-aided detection software. by Paquerault S, Samuelson FW, Petrick N, Myers KJ, Smith RC, Paquerault, Sophie, Samuelson, Frank W, Petrick, Nicholas, Myers, Kyle J, Smith, Robert C

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Impact of super-resolution and image acquisition on the detection of calcifications in digital breast tomosynthesis. by Barufaldi, Bruno, Acciavatti, Raymond J., Conant, Emily F., Maidment, Andrew D. A.

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Effect of training-sample size and classification difficulty on the accuracy of genomic predictors. by Popovici V, Chen W, Gallas BG, Hatzis C, Shi W, Samuelson FW, Nikolsky Y, Tsyganova M, Ishkin A, Nikolskaya T, Hess KR, Valero V, Booser D, Delorenzi M, Hortobagyi GN, Shi L, Symmans WF, Pusztai L, Popovici, Vlad, Chen, Weijie

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Evaluation of reader performance during interpretation of breast cancer screening: the Recall and detection Of breast Cancer in Screening (ROCS) trial study design. by Sechopoulos, Ioannis, Abbey, Craig K., van der Waal, Daniëlle, Geertse, Tanya, Tetteroo, Eric, Pijnappel, Ruud M., Broeders, Mireille J.M.

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A deep learning masked segmentation alternative to manual segmentation in biparametric MRI prostate cancer radiomics. by Bleker, Jeroen, Kwee, Thomas C., Rouw, Dennis, Roest, Christian, Borstlap, Jaap, de Jong, Igle Jan, Dierckx, Rudi A. J. O., Huisman, Henkjan, Yakar, Derya

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Virtual clinical trial to compare cancer detection using combinations of 2D mammography, digital breast tomosynthesis and synthetic 2D imaging. by Mackenzie, Alistair, Thomson, Emma L., Mitchell, Melissa, Elangovan, Premkumar, van Ongeval, Chantal, Cockmartin, Lesley, Warren, Lucy M., Wilkinson, Louise S., Wallis, Matthew G., Given-Wilson, Rosalind M., Dance, David R., Young, Kenneth C.

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Texture analysis using machine learning–based 3-T magnetic resonance imaging for predicting recurrence in breast cancer patients treated with neoadjuvant chemotherapy. by Eun, Na Lae, Kang, Daesung, Son, Eun Ju, Youk, Ji Hyun, Kim, Jeong-Ah, Gweon, Hye Mi

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Moving the goalposts while scoring―the dilemma posed by new PET technologies. by Rogasch, Julian M.M., Boellaard, Ronald, Pike, Lucy, Borchmann, Peter, Johnson, Peter, Wolf, Jürgen, Barrington, Sally F., Kobe, Carsten

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Subtraction improves the accuracy of coronary CT angiography for detecting obstructive disease in severely calcified segments. by Xu, Lixue, Li, Fang, Wu, Kewei, Zhong, Zhaohui, Huang, Rongchong, Xu, Yinghao, Wang, Zhenchang, Yang, Zhenghan, He, Yi

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Automated mammographic mass detection using deformable convolution and multiscale features. by Peng, Junchuan, Bao, Changyu, Hu, Chuting, Wang, Xianming, Jian, Wenjing, Liu, Weixiang

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Can we reduce the workload of mammographic screening by automatic identification of normal exams with artificial intelligence? A feasibility study. by Rodriguez-Ruiz, Alejandro, Lång, Kristina, Gubern-Merida, Albert, Teuwen, Jonas, Broeders, Mireille, Gennaro, Gisella, Clauser, Paola, Helbich, Thomas H., Chevalier, Margarita, Mertelmeier, Thomas, Wallis, Matthew G., Andersson, Ingvar, Zackrisson, Sophia, Sechopoulos, Ioannis, Mann, Ritse M.

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Can digital breast tomosynthesis perform better than standard digital mammography work-up in breast cancer assessment clinic? by Mall, S., Noakes, J., Kossoff, M., Lee, W., McKessar, M., Goy, A., Duncombe, J., Roberts, M., Giuffre, B., Miller, A., Bhola, N., Kapoor, C., Shearman, C., DaCosta, G., Choi, S., Sterba, J., Kay, M., Bruderlin, K., Winarta, N., Donohue, K.

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Computer-based self-training for CT colonography with and without CAD. by Sali, Lapo, Delsanto, Silvia, Sacchetto, Daniela, Correale, Loredana, Falchini, Massimo, Ferraris, Andrea, Gandini, Giovanni, Grazzini, Giulia, Iafrate, Franco, Iussich, Gabriella, Morra, Lia, Laghi, Andrea, Mascalchi, Mario, Regge, Daniele

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Embryonic mammary signature subsets are activated in Brca1-/- and basal-like breast cancers. by Zvelebil, Marketa, Oliemuller, Erik, Qiong Gao, Wansbury, Olivia, Mackay, Alan, Kendrick, Howard, Smalley, Matthew J., Reis-Filho, Jorge S., Howard, Beatrice A.

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Embryonic mammary signature subsets are activated in Brca1-/- and basal-like breast cancers. by Zvelebil, Marketa, Oliemuller, Erik, Gao, Qiong, Wansbury, Olivia, Mackay, Alan, Kendrick, Howard, Smalley, Matthew J, Reis-Filho, Jorge S, Howard, Beatrice A

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