Development of Jumanji Board Game Media on Ecosystem Material in Islamic Elementary School by Maghfirotul Firmaning Lestari, Muhammad Suwignyo Prayogo

“…The Jumanji board game media has colourful cards, game lines, pawns, dice, and sand time. This, of course, can attract students' motivation because, based on the study results, it was found that the enthusiasm and motivation to learn were still lacking, and the understanding of the material still needed to be improved. …”
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An attention based residual U-Net with swin transformer for brain MRI segmentation by Tazkia Mim Angona, M. Rubaiyat Hossain Mondal

“…It achieved an average Dice Similarity Coefficients (DSC) of 88.27 % and average Intersection over Union (IoU) of 79.93 % on BraTS 2020. …”
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Decoding brain tumor insights: Evaluating CAM variants with 3D U-Net for segmentation by Dian Nova Kusuma Hardani, Igi Ardiyanto, Hanung Adi Nugroho

“…Using the 3D U-Net architecture with the BraTS 2020 dataset, the study achieved precise localization and detailed segmentation with the mean recall values of 0.8939 for Whole Tumor (WT), 0.7941 for Enhancing Tumor (ET), and 0.7846 for Tumor Core (TC). The Dice coefficients were 0.9065 for WT, 0.8180 for TC, and 0.7715 for ET. …”
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Textural analysis and artificial intelligence as decision support tools in the diagnosis of multiple sclerosis – a systematic review by Filip Orzan, Ştefania D. Iancu, Laura Dioşan, Zoltán Bálint

“…Evaluation metrics such as Accuracy, Dice score, and Sensitivity are commonly employed, with some models demonstrating robustness across multi-center datasets. …”
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A lung nodule segmentation model based on the transformer with multiple thresholds and coordinate attention by Tianjiao Hu, Yihua Lan, Yingqi Zhang, Jiashu Xu, Shuai Li, Chih-Cheng Hung

“…The proposed method was verified on the LIDC-IDRI and LNDb datasets. The Dice similarity coefficient (DSC) values achieved were 88.29% and 78.51%, and the sensitivities were 86.33% and 75.05%, respectively. …”
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CONSTRUCTOS TEÓRICOS COMO FACTORES DE CALIDAD EN LA CONVIVENCIA ESCOLAR DESDE LA PERSPECTIVA DE LAS REPRESENTACIONES SOCIALES by Yeraly Yibelly Noguera Torres

“…Así mismo se presenta el objetivo específico que dice: analizar el impacto del conflicto escolar en la comunidad educativa desde la perspectiva de los actores educativos. …”
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Enhancing prostate cancer segmentation in bpMRI: Integrating zonal awareness into attention-guided U-Net by Chao Wei, Zheng Liu, Yibo Zhang, Lianhui Fan

“…The proposed attention-guided U-Net model achieved an area under the curve (AUC) of 0.85 and a dice similarity coefficient value of 0.82, outperforming some other pretrained deep learning models. …”
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Morphological Evolution and Extinction of Eodiscids and Agnostoid Arthropods by Huarui Li, Tao Dai, Yanlong Chen, Chunling Xue, Luke C. Strotz

“…Subsequent reductions in agnostid morphospace occupation coincide not only with significant abiotic changes and associated extinction events, such as the Botoman–Toyonian Extinctions (BTEs), the Redlichiid–Olenellid Extinction Carbon Isotope Excursion (ROECE), the Drumian Carbon Isotope Excursion (DICE), and the Steptoean Positive Carbon Isotope Excursion event (SPICE), but also with major evolutionary episodes, such as the Great Ordovician Biodiversification Event (GOBE). …”
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Prediction of white matter hyperintensities evolution one-year post-stroke from a single-point brain MRI and stroke lesions information by Muhammad Febrian Rachmadi, Maria del C. Valdés-Hernández, Stephen Makin, Joanna Wardlaw, Henrik Skibbe

“…The combination of introducing the volume loss and joint segmentation of DEM of WMH and stroke lesions outperformed other model configurations with mean volumetric absolute error of 0.0092 ml (down from 1.7739 ml) and 0.47% improvement on average Dice similarity coefficient in shrinking, growing and stable WMH.…”
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Technique for Segmentation and Selection of Biomedical Images by Vladimir Zh. Kuklin, Leonid M. Chervyakov, Andrei N. Ruslantsev, Tagirbek G. Aslanov

“…The proposed classification algorithm showed strong results in comparison with existing algorithms, particularly in the comparison of the Dice criterion. The proposed method shows an average increase of 10% in classification accuracy. …”
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Automated Patient-specific Quality Assurance for Automated Segmentation of Organs at Risk in Nasopharyngeal Carcinoma Radiotherapy by Yixuan Wang MD, Jiang Hu MD, Lixin Chen PhD, Dandan Zhang PhD, Jinhan Zhu PhD

“…Three expert physicians segmented 17 OARs using computed tomography images of NPC and compared them using the Dice similarity coefficient, the maximum Hausdorff distance, and the mean distance to agreement. …”
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Representaciones, modelos de acción institucional y transformación sobre el sujeto sin hogar. El caso del “Programa de atención a personas en situación de calle” en Temuco by Héctor Muñoz C

“…El carácter de esta refl exión dice relación con la identificación de representaciones que orientan el accionar institucional, en este caso representaciones en torno a las personas denominadas en “situación de calle”. …”
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THE ROLE OF ARTIFICIAL INTELLIGENCE (AI) ON MRI BRAIN EXAMINATION WITH CLINICAL ISCHEMIC STROKE by Oktaviani Aulia WMS, Emi Murniati, Agustina Dwi Prastanti

“…The disadvantages of AI tended to decrease performance in small lesions, a large number of patients, limited data, and false positive results. The value of the Dice Score Coefficient (DSC) (0.53 – 0.86) was already high even though it had not reached 1 because it depended on the strength of the data used. …”
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AFN-Net: Adaptive Fusion Nucleus Segmentation Network Based on Multi-Level U-Net by Ming Zhao, Yimin Yang, Bingxue Zhou, Quan Wang, Fu Li

“…Specifically, our model achieved an IOU score of 0.8660 and a Dice score of 0.9216, with a model parameter size of only 7.81 M. …”
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The usefulness of automated high frequency ultrasound image analysis in atopic dermatitis staging by Joanna Czajkowska, Adriana Polańska, Anna Slian, Aleksandra Dańczak-Pazdrowska

“…The analysis aimed to verify whether the fully automated method can classify the HFUS images at the expert level. The Dice coefficient values for segmentation reached 0.908 for SLEB and 0.936 for the entry echo layer. …”
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Uncertainty-Aware Semi-Supervised Method for Pectoral Muscle Segmentation by Yutao Tang, Yongze Guo, Huayu Wang, Ting Song, Yao Lu

“…Compared with the baseline method, the proposed method showed an average improvement in DICE index of 1.76, an average reduction in IoU index of 3.21, and an average reduction in HD index of 5.48. …”
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Diseño gráfico en la Facultad de Arquitectura, Diseño y Urbanismo, un entramado de herencias y renovaciones by Cecilia Mazzeo

“…Este artículo presenta parte de la investigación desarrollada en la tesis doctoral titulada “¿Qué dice del diseño la enseñanza del diseño?” defendida en abril de 2013 en la Facultad de Arquitectura, Diseño y Urbanismo de la Universidad de Buenos Aires, inédita hasta la fecha de esta publicación. …”
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A VAN-Based Multi-Scale Cross-Attention Mechanism for Skin Lesion Segmentation Network by Shuang Liu, Zeng Zhuang, Yanfeng Zheng, Simon Kolmanic

“…Extensive experiments show that our method outperforms current mainstream methods in evaluation metrics such as Dice coefficient and Hausdorff 95 coefficient.…”
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Le chemin des « mauvaises filles » by Véronique Blanchard, Hélène Duffuler-Vialle

“…The young innocent girl who, whatever her way, has necessarily deviated in some way, earns her freedom or gets trapped depending on the throw of the dice and the choices made by the visitors/players, who have several options at different stages of the play. …”
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An effective vessel segmentation method using SLOA-HGC by Zerui Liu, Junliang Du, Weisi Dai, Wenke Zhu, Ziqing Ye, Lin Li, Zewei Liu, Linan Hu, Lin Chen, Lixiang Sun

“…The results of the experiments on our homemade dataset and three public datasets are as follows: Mean Intersection over Union (MIoU) of 80.61%, 76.14%, 76.90%, 74.11%; Dice coefficients of 78.97%, 72.51%, 72.84%, 68.93%; and accuracies of 94.83%, 95.74%, 96.67%, 95.81% respectively. …”
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