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Towards Accurate Medical Image Segmentation With Gradient-Optimized Dice Loss
IEEE Signal Processing LettersMedical image segmentation plays an important role in medical diagnosis, and has received extensive attention in recent years. A large number of convolutional neural network based methods have been proposed to achieve accurate segmentation results.
Qi Ming, Xiaowu Xiao
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BrainLes@MICCAI, 2020
Training a deep neural network is an optimization problem with four main ingredients: the design of the deep neural network, the per-sample loss function, the population loss function, and the optimizer.
Lucas Fidon, S. Ourselin, T. Vercauteren
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Training a deep neural network is an optimization problem with four main ingredients: the design of the deep neural network, the per-sample loss function, the population loss function, and the optimizer.
Lucas Fidon, S. Ourselin, T. Vercauteren
semanticscholar +1 more source
International Journal of Game-Based Learning, 2020
This article deals with serious game design methods. More specifically, it focuses on the following question: is there any universal series of steps to design a serious game? Or is the availability of several different design methods unavoidable? To try to answer this question, we will study a corpus of ten design methods suited to Serious Games.
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This article deals with serious game design methods. More specifically, it focuses on the following question: is there any universal series of steps to design a serious game? Or is the availability of several different design methods unavoidable? To try to answer this question, we will study a corpus of ten design methods suited to Serious Games.
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Proceedings of the 9th ACM international symposium on Mobile ad hoc networking and computing, 2008
Network coding has emerged as a promising approach that enables reliable and efficient end-to-end transmissions in lossy wireless mesh networks. Existing protocols have demonstrated its resilience to packet losses, as well as the ability to integrate naturally with multipath opportunistic routing.
Xinyu Zhang, Baochun Li
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Network coding has emerged as a promising approach that enables reliable and efficient end-to-end transmissions in lossy wireless mesh networks. Existing protocols have demonstrated its resilience to packet losses, as well as the ability to integrate naturally with multipath opportunistic routing.
Xinyu Zhang, Baochun Li
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2021
Il volume raccoglie interventi di studiose di diverse discipline su personaggi femminili che abbiano o abbiano avuto un ruolo sociale e culturale di rilievo, in prospettiva internazionale e plurilinguistica. Women on Women intende mostrare la necessità e al contempo il superamento della prospettiva di alcune accezioni degli studi di genere, che ...
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Il volume raccoglie interventi di studiose di diverse discipline su personaggi femminili che abbiano o abbiano avuto un ruolo sociale e culturale di rilievo, in prospettiva internazionale e plurilinguistica. Women on Women intende mostrare la necessità e al contempo il superamento della prospettiva di alcune accezioni degli studi di genere, che ...
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DICE-E: A Framework for Conducting Darknet Identification, Collection, Evaluation with Ethics
MIS Q., 2019Society’s growing dependence on computers and information technologies has been matched by an escalation of the frequency and sophistication of cyber attacks committed by criminals operating from the Darknet.
Victor A. Benjamin +2 more
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International Journal of Machine Learning and Cybernetics, 2022
Şerif Özlü
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Şerif Özlü
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International Journal of Theoretical Physics, 1999
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Rethinking the Dice Loss for Deep Learning Lesion Segmentation in Medical Images
Journal of Shanghai Jiaotong University (Science), 2021Yue Zhang +3 more
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