Results 1 to 10 of about 2,787,379 (259)
Energy loss function of samarium [PDF]
Scientific Reports, 2023 We present a combined experimental and theoretical work to obtain the energy loss function (ELF) or the excitation spectrum of samarium in the energy loss range between 3 and 200 eV.
T. F. Yang +6 more
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Application of FGD-BCEL loss function in segmenting temporal lobes on localized CT images for radiotherapy [PDF]
Frontiers in Oncology, 2023 ObjectivesThe aim of this study was to find a new loss function to automatically segment temporal lobes on localized CT images for radiotherapy with more accuracy and a solution to dealing with the classification of class-imbalanced samples in temporal ...
Xiaobo Wen +19 more
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Enhancing cross entropy with a linearly adaptive loss function for optimized classification performance [PDF]
Scientific ReportsWe propose the linearly adaptive cross entropy loss function. This is a novel measure derived from the information theory. In comparison to the standard cross entropy loss function, the proposed one has an additional term that depends on the predicted ...
Jae Wan Shim
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U-Net Architecture for Prostate Segmentation: The Impact of Loss Function on System Performance [PDF]
Bioengineering, 2023 Segmentation of the prostate gland from magnetic resonance images is rapidly becoming a standard of care in prostate cancer radiotherapy treatment planning. Automating this process has the potential to improve accuracy and efficiency.
Maryam Montazerolghaem +3 more
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Austrian Journal of Statistics, 2021 A proper monitoring of stochastic systems is the control charts of statistical process control and drift in characteristics of output may be due to one or several assignable causes.
M.H. Naderi +2 more
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Wavelet Loss Function for Auto-Encoder
IEEE Access, 2021 In the field of image generation, especially for auto-encoder models, how to extract better features and obtain better quality reconstruction samples by modifying network structure and training algorithms has always been the focus of attention.
Qiuyu Zhu, Hu Wang, Ruixin Zhang
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Image super-resolution reconstruction based on multi-scale dual-attention
Connection Science, 2023 Image super-resolution reconstruction is one of the methods to improve resolution by learning the inherent features and attributes of images. However, the existing super-resolution models have some problems, such as missing details, distorted natural ...
Hong-an Li +4 more
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Strip steel surface defect detection based on lightweight YOLOv5
Frontiers in Neurorobotics, 2023 Deep learning-based methods for detecting surface defects on strip steel have advanced detection capabilities, but there are still problems of target loss, false alarms, large computation, and imbalance between detection accuracy and detection speed.
Yongping Zhang, Sijie Shen, Sen Xu
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Segmentation Method of Magnetoelectric Brain Image Based on the Transformer and the CNN
Information, 2022 To address the problem of a low accuracy and blurred boundaries in segmenting multimodal brain tumor images using the TransBTS network, a 3D BCS_T model incorporating a channel space attention mechanism is proposed.
Xiaoli Liu, Xiaorong Cheng
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Applied Sciences, 2023 With the rise in meteorological disasters, improving evaluation strategies for disaster response agencies is critical. This shift from expert scoring to data-driven approaches is challenged by sample imbalance in the data, affecting accurate capability ...
Jiansong Tang +3 more
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