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5321por Zhao, Yingcheng, Wang, Xiaoli, Wang, Yifei, Wang, Beilei, Zhang, Lihong, Wei, Xiao, He, Xiaowei“…The estimated parameters showed little bias relative to the ground truth, with errors between the true and estimated values of each parameter of less than 0.5%. …”
Publicado 2022
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5322por Sinha, Pooja, Chourey, Niraj, Hiremath, Ravishekar N., Ghodke, Sandhya, Sharma, Atul, Vaswani, Pallavi“…The segment on attitudes in clinical practice showed an impact on autonomy and truth-telling (32% to 50%). The segment on ethical practices reflected a confused audience. …”
Publicado 2022
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5323por Bagcilar, Omer, Alis, Deniz, Seker, Mustafa, Erdemli, Servet, Karaarslan, Umut, Kus, Aylin, Kayhan, Cavit, Saglican, Yesim, Kural, Ali, Karaarslan, Ercan“…OBJECTIVES: To compare the effectiveness of individual multiparametric prostate MRI (mpMRI) sequences—T2W, diffusion-weighted imaging (DWI) and apparent diffusion coefficient (ADC), and dynamic contrast-enhanced (DCE)—in assessing prostate cancer (PCa) index lesion volume using whole-mount pathology as the ground-truth; to assess the impact of an endorectal coil (ERC) on the measurements. …”
Publicado 2022
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5324“…The results show our models are pretty accurate when validating them against 19 individual countries’ elections as ground truth. Moreover, to make our results available to the research community, stakeholders, and individuals interested in politics, the last contribution of our paper is a website including detailed information about the political parties in our dataset. …”
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5325por Watson, Tamlin, Kubasiewicz, Laura M., Nye, Caroline, Thapa, Sajana, Norris, Stuart L., Chamberlain, Natasha, Burden, Faith A.“…This study investigates the lives of a population of mules in the mountains of Nepal, developing a better understanding of their needs and their ‘truth’ or ‘telos’ informing what measures will help them to thrive.…”
Publicado 2022
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5326por Wang, Yaning, Tiusaba, Laura, Jacobs, Shimon, Saruwatari, Michele, Ning, Bo, Levitt, Marc, Sandler, Anthony D., Nam, So-Hyun, Kang, Jin U., Cha, Jaepyeong“…RESULTS: We demonstrated that our model could accurately segment the ischemic intestine images, with a Dice coefficient and accuracy of 90.77% and 93.06%, respectively, in 2560 RGB/LSCI image pairs. The ground truth was labeled by multiple and independent estimations, combining the surgeons’ annotations with fastest gradient descent in suspicious areas of vascular images. …”
Publicado 2022
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5327por Ziemer, Paulo G P, Bulant, Carlos A, Orlando, José I, Maso Talou, Gonzalo D, Álvarez, Luis A Mansilla, Guedes Bezerra, Cristiano, Lemos, Pedro A, García-García, Héctor M, Blanco, Pablo J“…The degree of overlapping, between the ground truth and ML contours, median (interquartile range, IQR) systematically increased from 0.896 (0.874–0.933) for MF1 to 0.925 (0.911–0.948) for MF11. …”
Publicado 2020
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5328por Jha, Nayansi, Kim, Taehun, Ham, Sungwon, Baek, Seung-Hak, Sung, Sang-Jin, Kim, Yoon-Ji, Kim, Namkug“…The aim of this study was to develop an auto-segmentation algorithm for mandibular condyle using the 3D U-Net and perform a stress test to determine the optimal dataset size for achieving clinically acceptable accuracy. 234 cone-beam computed tomography images of mandibular condyles were acquired from 117 subjects from two institutions, which were manually segmented to generate the ground truth. Semantic segmentation was performed using basic 3D U-Net and a cascaded 3D U-Net. …”
Publicado 2022
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5329“…When applied to highly accelerated data, the 3‐point network maintained a high correlation with ground truth data and demonstrated a denoising effect. CONCLUSION: The 4D‐flow MRI can be accelerated using machine learning requiring only three flow encodings to produce three‐directional velocity maps with small errors.…”
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5330por Spathis, Dimitris, Perez-Pozuelo, Ignacio, Gonzales, Tomas I., Wu, Yu, Brage, Soren, Wareham, Nicholas, Mascolo, Cecilia“…Our results show that the combination of wearables and other biomarkers as inputs to neural networks yields a strong correlation to ground truth in a holdout sample (r = 0.82, 95CI 0.80–0.83), outperforming other approaches and models and detects fitness change over time (e.g., after 7 years). …”
Publicado 2022
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5331por Nazari-Farsani, Sanaz, Yu, Yannan, Armindo, Rui Duarte, Lansberg, Maarten, Liebeskind, David S., Albers, Gregory, Christensen, Soren, Levin, Craig S., Zaharchuk, Greg“…The model’s predicted lesion volumes showed high correlation with ground truth volumes (ρ(c) = 0.73, p < 0.01). CONCLUSION: An AG-DCNN using diffusion information alone upon admission was able to predict infarct volumes at 3–7 days after stroke onset with comparable accuracy to models that consider both DWI and PWI. …”
Publicado 2022
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5332por Betschart, Raphael O., Thiéry, Alexandre, Aguilera-Garcia, Domingo, Zoche, Martin, Moch, Holger, Twerenbold, Raphael, Zeller, Tanja, Blankenberg, Stefan, Ziegler, Andreas“…We sequenced one genome in a bottle (GIAB) sample 70 times in different runs, and one GIAB trio in triplicate. The truth set of the GIABs was used for comparison, and performance was assessed by computation time, F(1) score, precision, and recall. …”
Publicado 2022
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5333“…Clinicians will measure the ROM at each joint using a clinical-grade goniometer to establish ground truth measurements. Open-source human pose-estimation libraries will be used to extract the locations of key joints from the videos. …”
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5334por Peters, Kristin, Wagner, Paul D., Phyo, Ei Wai, Zin, Win Win, Kyi, Cho Cho Thin, Fohrer, Nicola“…The analysis results are complemented with a socio-hydrological survey, water quality assessment, a land use classification based on ground truth and satellite data, and hydrologic models. …”
Publicado 2022
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5335“…The robustness of each assessment method was established through comparison to sacrum‐based overall motion asymmetry as the ground truth. RESULTS: Tubera coxarum‐based lameness assessment was highly sensitive to all the unique lameness patterns and changes in pelvic rotation which a lame horse may adopt. …”
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5336por Gauriau, Romane, Bizzo, Bernardo C., Comeau, Donnella S., Hillis, James M., Bridge, Christopher P., Chin, John K., Pawar, Jayashri, Pourvaziri, Ali, Sesic, Ivana, Sharaf, Elshaimaa, Cao, Jinjin, Noro, Flavia T. C., Wiggins, Walter F., Caton, M. Travis, Kitamura, Felipe, Dreyer, Keith J., Kalafut, John F., Andriole, Katherine P., Pomerantz, Stuart R., Gonzalez, Ramon G., Lev, Michael H.“…We developed a deep learning model that detects and delineates suspected early acute infarcts on NCCT, using diffusion MRI as ground truth (3566 NCCT/MRI training patient pairs). The model substantially outperformed 3 expert neuroradiologists on a test set of 150 CT scans of patients who were potential candidates for thrombectomy (60 stroke-negative, 90 stroke-positive middle cerebral artery territory only infarcts), with sensitivity 96% (specificity 72%) for the model versus 61–66% (specificity 90–92%) for the experts; model infarct volume estimates also strongly correlated with those of diffusion MRI (r(2) > 0.98). …”
Publicado 2023
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5337por Curti, Nico, Merli, Yuri, Zengarini, Corrado, Giampieri, Enrico, Merlotti, Alessandra, Dall’Olio, Daniele, Marcelli, Emanuela, Bianchi, Tommaso, Castellani, Gastone“…Only a small part of this large amount of data was manually annotated by experts (ground truth). A multi-step, active, semi-supervised training procedure was applied to improve the segmentation performances of the model. …”
Publicado 2022
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5338“…In the absence of a ‘ground truth’, direct measure of RGC‐RF count, it is not possible to determine which method is most accurate, and each has limitations. …”
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5339por Duff, Lisa, Scarsbrook, Andrew F., Mackie, Sarah L., Frood, Russell, Bailey, Marc, Morgan, Ann W., Tsoumpas, Charalampos“…The diagnostic utility of these classifiers was evaluated with area under the receiver operating characteristic curve (AUC) and accuracy using the clinical diagnosis as the ground truth. RESULTS: Several RFs had high accuracy, 84% to 86%, and AUC scores 0.83 to 0.97 when used individually. …”
Publicado 2022
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5340por Zaridis, Dimitrios I., Mylona, Eugenia, Tachos, Nikolaos, Pezoulas, Vasileios C., Grigoriadis, Grigorios, Tsiknakis, Nikos, Marias, Kostas, Tsiknakis, Manolis, Fotiadis, Dimitrios I.“…Additionally, a methodology is proposed to explain, both quantitatively and qualitatively, the relation between saliency maps and ground truth probability maps. Overall, RACLAHE was the most consistent image enhancement algorithm in terms of performance improvement across CNN models with the mean increase in Dice Score ranging from 3 to 9% for the different prostatic regions, while achieving minimal inter-model variability. …”
Publicado 2023
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