Showing 61 - 80 results of 156 for search '"dice"', query time: 0.04s Refine Results
  1. 61

    La formación de educadores y educadoras desde la mirada de Freire by Maite Arandia Loroño

    Published 2004-01-01
    “…Sin embargo, Freire nos dice que el modo de crear un proceso que realmente forme es mediante el diálogo. …”
    Get full text
    Article
  2. 62

    Peering into the Heart: A Comprehensive Exploration of Semantic Segmentation and Explainable AI on the MnMs-2 Cardiac MRI Dataset by Ayoob Mohamed, Nettasinghe Oshan, Sylvester Vithushan, Bowala Helmini, Mohideen Hamdaan

    Published 2025-01-01
    “…We propose a segmentation model that achieves competitive dice scores (nearly 90 %) and Hausdorff distance (less than 70), demonstrating its effectiveness for cardiac MRI analysis. …”
    Get full text
    Article
  3. 63

    A generative whole-brain segmentation model for positron emission tomography images by Wenbo Li, Zhenxing Huang, Hongyan Tang, Yaping Wu, Yunlong Gao, Jing Qin, Jianmin Yuan, Yang Yang, Yan Zhang, Na Zhang, Hairong Zheng, Dong Liang, Meiyun Wang, Zhanli Hu

    Published 2025-02-01
    “…The proposed method was compared with various deep learning-based approaches in terms of the Dice similarity coefficient, Jaccard index, precision, and recall serving as evaluation metrics. …”
    Get full text
    Article
  4. 64

    MSEANet: Multi-Scale Selective Edge Aware Network for Polyp Segmentation by Botao Liu, Changqi Shi, Ming Zhao

    Published 2025-01-01
    “…The effectiveness of our model has been rigorously validated on the Kvasir-SEG, Kvasir-Sessile, and BKAI datasets, achieving mean Dice scores of 91.92%, 82.10%, and 92.24%, respectively, on the test sets.…”
    Get full text
    Article
  5. 65

    Breast cancer ultrasound image segmentation using improved 3DUnet++ by Saba Hesaraki, Abdul Sajid Mohammed, Mehrshad Eisaei, Ramin Mousa

    Published 2025-06-01
    “…The UNet++ approach on the dataset of the Tumor Segmentation, Classification, and Detection Challenge on Automated 3D Breast Ultrasound 2023 (Named TSCD-ABUS2023) was able to achieve Accuracy ​= ​0.9911 and AUROC ​= ​0.9761 in classification and Dice ​= ​0.4930 in segmentation.…”
    Get full text
    Article
  6. 66

    El nomadismo filosófico de Rosi Braidotti: una alternativa materialista a la metafísica de la pre sencia by Iván Darío Ávila Gaitán

    Published 2014-01-01
    “…La tesis central consiste en que su filosofía traza un materialismo profundo que constituye una alternativa radical a la metafísica de la presencia, entendida esta última como un gran sistema discursivo imperante en Occidente, que dice la verdad sobre la realidad misma y que, además, es una vasta ontología política. …”
    Get full text
    Article
  7. 67

    Left Ventricle Segmentation in Cardiac MR Images via an Improved ResUnet by Shengzhou Xu, Haoran Lu, Shiyu Cheng, Chengdan Pei

    Published 2022-01-01
    “…In the MICCAI 2009 LV segmentation challenge test dataset, the percentages of “good” contours, dice metric, and average perpendicular distance of endocardium (epicardium) are 99.12%±2.29%100%±0%,0.93±0.02 0.96±0.01,and 1.60±0.42 mm 1.37±0.23 mm, respectively. …”
    Get full text
    Article
  8. 68

    Multi scale multi attention network for blood vessel segmentation in fundus images by Giri Babu Kande, Madhusudana Rao Nalluri, R. Manikandan, Jaehyuk Cho, Sathishkumar Veerappampalayam Easwaramoorthy

    Published 2025-01-01
    “…Our experimental findings on publicly available datasets of fundus images, specifically DRIVE, STARE, CHASE_DB1, HRF and DR HAGIS consistently demonstrate that our approach outperforms other segmentation techniques, achieving higher accuracy, sensitivity, Dice score, and area under the receiver operator characteristic (AUC) in the segmentation of blood vessels with different thicknesses, even in situations involving diverse contextual information, the presence of coexisting lesions, and intricate vessel morphologies.…”
    Get full text
    Article
  9. 69

    Cegueira e crueldade na narrativa de Tércia Montenegro by Milena Magalhães

    Published 2018-01-01
    “…Así, teniendo en cuenta que la perspectiva selecciona lo narrado, lo que se describe no debe ser percibido como tal, adquiriendo el status de verdad, sino el resultado de una selección que contamina todo lo que se dice. Ya que la historia está ambientada en el terreno de las artes visuales, están en juego los límites entre lo visible y lo invisible. …”
    Get full text
    Article
  10. 70

    Mutaciones constitucionales y la problemática de su control en el Estado constitucional by Enrique Uribe Arzate, Grisel Alejandra Correa Esquivel

    Published 2012-01-01
    “…Lo cierto es que tanto la práctica de los órganos del Estado como la vida cotidiana de la sociedad constantemente someten al texto constitucional a duras pruebas que ponen en tensión lo que dice la lex fundamentalis con la forma en que opera la realidad de la sociedad y el Estado. …”
    Get full text
    Article
  11. 71

    Un final/el final: Cuaderno de Pripyat de Carlos Ríos by Mariana Catalin

    Published 2018-05-01
    “…En una primera instancia, se analiza la forma en que esta multiplicación de temporalidades afecta la presentación de los testimonios que el relato dice recolectar. Luego, el trabajo se centra en el collage como posible clave explicativa de la composición del relato a partir de la tensión entre la lógica del resto y la de la sobresaturación referencial. …”
    Get full text
    Article
  12. 72

    Blood Vessel Segmentation and Classification of Diabetic Retinopathy with Machine Learning-Based Ensemble Model by Cihan Akyel, Bünyamin Ciylan

    Published 2024-09-01
    “…By using Gray Level Cooccurrence Matrix (GLCM) attributes in the classification phase, a lower resource requirement was aimed for. A Dice coefficient of 85.95% was achieved for the segmentation of blood vessels in the Stare dataset, in addition to 97.46% accuracy for binary classification and 96.10% accuracy for classifying DR into five classes in the dataset APTOS 2019.…”
    Get full text
    Article
  13. 73

    Improving Unplugged Computational Thinking Skills Through Integrated Problem-Based and Differentiated Learning in Indonesia by Dewi Oktaviani, Susilo Satanti

    Published 2024-08-01
    “…The improvement of computational thinking ability is caused by: data collection activities in the form of dice/coin simulations, abstraction activities of sample points and important information in the problem, activities to formulate solution steps (algorithms) and data analysis activities in the form of interpretation of results and calculations. …”
    Get full text
    Article
  14. 74

    Freddy Taberna presente, ahora y siempre by Jinny Arancibia

    Published 2024-01-01
    “…A 50 años de su desaparición, su imagen es también una pérdida que, como dice Annie Erneaux, no tiene consuelo y “todo desemboca en esa ausencia que es el recuerdo”…”
    Get full text
    Article
  15. 75

    Segmentation Algorithm of Magnetic Resonance Imaging Glioma under Fully Convolutional Densely Connected Convolutional Networks by Jie Dong, Yueying Zhang, Yun Meng, Tingxiao Yang, Wei Ma, Huixin Wu

    Published 2022-01-01
    “…Under the same conditions, compare the differences of dice similarity coefficient (DSC), sensitivity, and Hausdroff distance (HD) between this algorithm and other algorithms in MRI image processing. …”
    Get full text
    Article
  16. 76

    Las mujeres en un país plurinacional e intercultural, Ecuador by Juan Illicachi Guzñay

    Published 2018-01-01
    “…El texto pretende ampliar el debate sobre el tema y se desea que las páginas que siguen sean leídas no únicamente como ejercicio de conocimiento sino también del reconocimiento y cuestionamiento a la distancia entre lo que se dice y lo que se hace. Los datos de este estudio se recogieron de forma colaborativa por el autor y un grupo de estudiantes de la Escuela de Psicología de la UNACH.…”
    Get full text
    Article
  17. 77

    River Segmentation of Remote Sensing Images Based on Composite Attention Network by Zhiyong Fan, Jianmin Hou, Qiang Zang, Yunjie Chen, Fei Yan

    Published 2022-01-01
    “…Next, in this study, we dynamically combine binary cross-entropy loss that is designed for pixel-wise segmentation and the Dice coefficient loss that measures the similarity of two segmentation objects into a weighted one to optimize the training process of the proposed segmentation network. …”
    Get full text
    Article
  18. 78

    Artificial intelligence applied in identifying left ventricular walls in myocardial perfusion scintigraphy images: Pilot study. by Solange Amorim Nogueira, Fernanda Ambrogi B Luz, Thiago Fellipe O Camargo, Julio Cesar S Oliveira, Guilherme Carvalho Campos Neto, Felipe Brazao F Carvalhaes, Marcio Rodrigues C Reis, Paulo Victor Santos, Giovanna Souza Mendes, Rafael Maffei Loureiro, Daniel Tornieri, Viviane M Gomes Pacheco, Antonio Paulo Coimbra, Wesley Pacheco Calixto

    Published 2025-01-01
    “…The results demonstrate the efficiency of the proposed artificial intelligence model, with a Dice coefficient of 87% and an average Intersection over Union of 0.8, reflecting high agreement with the manual segmentations produced by experts and surpassing traditional interpretation methods. …”
    Get full text
    Article
  19. 79

    Kidney Segmentation with LinkNetB7 by Cihan Akyel

    Published 2023-12-01
    “…In this study, the LinkNetB7 model, which has not been previously used in renal segmentation studies, was modified and used. The study achieved a dice coefficient of 97.20%, precision of 97.30%, sensitivity of 97%, and recall of 97%. …”
    Get full text
    Article
  20. 80

    Lung Segmentation in 4D CT Volumes Based on Robust Active Shape Model Matching by Gurman Gill, Reinhard R. Beichel

    Published 2015-01-01
    “…The proposed 4D method obtained an average Dice coefficient of 0.9773±0.0254, which was statistically significantly better (p value ≪0.001) than the 3D method (0.9659±0.0517). …”
    Get full text
    Article