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Centerline Boundary Dice Loss for Vascular Segmentation
International Conference on Medical Image Computing and Computer-Assisted InterventionVascular segmentation in medical imaging plays a crucial role in analysing morphological and functional assessments. Traditional methods, like the centerline Dice (clDice) loss, ensure topology preservation but falter in capturing geometric details ...
Pengcheng Shi +5 more
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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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CENiM, 2020
One of the main problems in skin lesion detection is image segmentation. This method is essential not only for image processing-based but also for machine learning-based skin lesion detection to improve the performance.
A. W. Setiawan
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One of the main problems in skin lesion detection is image segmentation. This method is essential not only for image processing-based but also for machine learning-based skin lesion detection to improve the performance.
A. W. Setiawan
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Journal of Software Maintenance: Research and Practice, 1997
Since it is sometimes difficult to apply the technique of static program dicing in debugging programs, we introduce dynamic dicing as the dynamic counterpart of static dicing. As the effectiveness of program dicing techniques depends on the size of the program dices used, this paper uses a probabilistic approach to investigate the relationship between ...
Y. Y. Cheung, Tsong Yueh Chen
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Since it is sometimes difficult to apply the technique of static program dicing in debugging programs, we introduce dynamic dicing as the dynamic counterpart of static dicing. As the effectiveness of program dicing techniques depends on the size of the program dices used, this paper uses a probabilistic approach to investigate the relationship between ...
Y. Y. Cheung, Tsong Yueh Chen
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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
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Dicing Tape Performance in a Plasma Dicing Environment
Additional Conferences (Device Packaging, HiTEC, HiTEN, and CICMT), 2018Plasma dicing, as a means of isolating individual integrated circuits from within a fully processed semiconductor substrate, is still an emerging technology but is now considered the latest step in the evolution in device singulation. With the trend towards smaller, thinner more robust devices, many chip manufacturers are considering, or already ...
Oliver Ansell +4 more
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Information Processing Letters, 2007
Streett/Rabin games are an adequate model of strong fairness in reactive systems. We show here some results about their stochastic version. We extend the known lower bound in memory for the pure winning strategies of the Streett player to randomized strategies.
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Streett/Rabin games are an adequate model of strong fairness in reactive systems. We show here some results about their stochastic version. We extend the known lower bound in memory for the pure winning strategies of the Streett player to randomized strategies.
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Blood, 2011
A novel class of molecular lesions that affect components of the splicing machinery is the focus of the work by Malcovati et al in this issue of Blood .[1][1] Their data confirm the strong correlation between splicing factor SF3B1 mutations and the presence of ringed sideroblasts in patients ...
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A novel class of molecular lesions that affect components of the splicing machinery is the focus of the work by Malcovati et al in this issue of Blood .[1][1] Their data confirm the strong correlation between splicing factor SF3B1 mutations and the presence of ringed sideroblasts in patients ...
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Advanced dicing technology for semiconductor wafer -Stealth Dicing
2006 IEEE International Symposium on Semiconductor Manufacturing, 2006"Stealth Dicing (SD) " was developed to solve such inherent problems of dicing process as debris contaminants and unnecessary thermal damage on work wafer. In SD, laser beam power of transmissible wavelength is absorbed only around focal point in the wafer by utilizing temperature dependence of absorption coefficient of the wafer.
Uchiyama +5 more
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German Research, 2018 AbstractIn early modern Europe, many things were decided by casting lots – from the distribution of assets to punishments and even elections to public office. When understood as a communicative process and a symbolic practice of a particular time, this method of decision‐making also forms part of the mosaic of political cultural history.
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