Speckle reduction via deep content-aware image prior for precise breast tumor segmentation in an ultrasound image
The performance of computer-aided diagnosis (CAD) systems that are based on ultrasound
imaging has been enhanced owing to the advancement in deep learning. However …
imaging has been enhanced owing to the advancement in deep learning. However …
[HTML][HTML] 基于全局上下文和注意力机制深度卷积神经网络的地震数据去噪
杨翠倩， 周亚同， 何昊， 崔焘， 王杨 - 石油物探, 2021 - html.rhhz.net
在地震数据处理中, 随机噪声压制是提高地震数据信噪比的关键. 针对目前卷积神经网络大多
关注局部特征以及在特征提取方面的局限性, 提出了一种结合全局上下文和注意力机制的深度卷 …
关注局部特征以及在特征提取方面的局限性, 提出了一种结合全局上下文和注意力机制的深度卷 …
MRFormer: Multiscale retractable transformer for medical image progressive denoising via noise level estimation
C Bai, X Han - Image and Vision Computing, 2024 - Elsevier
Clear medical images are important for auxiliary diagnoses, but the images generated by
various medical devices inevitably contain considerable noise. Although various models …
various medical devices inevitably contain considerable noise. Although various models …
Decomformer: Decompose Self-Attention of Transformer for Efficient Image Restoration
E Lee, Y Hwang - IEEE Access, 2024 - ieeexplore.ieee.org
A transformer architecture achieves outstanding performance in computer vision tasks
based on the ability to capture long-range dependencies. However, a quadratic increase in …
based on the ability to capture long-range dependencies. However, a quadratic increase in …
MLAR-UNet: LDCT image denoising based on U-Net with multiple lightweight attention-based modules and residual reinforcement
H Tang, N Que, Y Tian, M Li, A Perelli… - Physics in Medicine …, 2025 - iopscience.iop.org
Objective. Computed tomography (CT) is a crucial medical imaging technique which uses X-
ray radiation to identify cancer tissues. Since radiation poses a significant health risk, low …
ray radiation to identify cancer tissues. Since radiation poses a significant health risk, low …
Adaptive adversarial latent space for novelty detection
Novelty detection is a challenging task of identifying whether a new sample obeys to a
known class. Note that the boundary between normal and novel is not clear enough in …
known class. Note that the boundary between normal and novel is not clear enough in …
[PDF][PDF] 基于双注意力机制和复合损失的LDCT 去噪方法
郭志涛， 苏逸， 袁金丽， 赵琳琳 - Laser & Optoelectronics …, 2022 - researching.cn
摘要针对当前低剂量计算机断层扫描(LDCT) 重建图像中存在复杂噪声与条纹伪影的问题,
提出了一种基于双注意力机制和复合损失的LDCT 去噪方法. 该方法通过引入空间注意力机制与 …
提出了一种基于双注意力机制和复合损失的LDCT 去噪方法. 该方法通过引入空间注意力机制与 …
[PDF][PDF] Visualization for Explanation of Deep Learning-Based Fault Diagnosis Model Using Class Activation Map
Y Guo, Q Wu - CMC-COMPUTERS MATERIALS & CONTINUA, 2023 - cdn.techscience.cn
Permanent magnet synchronous motor (PMSM) is widely used in various production
processes because of its high efficiency, fast reaction time, and high power density. With the …
processes because of its high efficiency, fast reaction time, and high power density. With the …
[PDF][PDF] Examination Committee.
S Colcher - 2021 - maxwell.vrac.puc-rio.br
Antonio José Grandson Busson A Self-supervised Method for Blind Denoising of Seismic Shot
Gathers Page 1 Antonio José Grandson Busson A Self-supervised Method for Blind Denoising of …
Gathers Page 1 Antonio José Grandson Busson A Self-supervised Method for Blind Denoising of …