4.6 Article

MDA-Unet: A Multi-Scale Dilated Attention U-Net for Medical Image Segmentation

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Computer Science, Artificial Intelligence

Tumor attention networks: Better feature selection, better tumor segmentation

Shuchao Pang et al.

Summary: This study introduces a novel network architecture, Tumor Attention Networks (TA-Net), for liver tumor segmentation tasks, which can enhance segmentation performance by embedding tumor attention layers to mine adaptive features.

NEURAL NETWORKS (2021)

Article Chemistry, Analytical

Multi-U-Net: Residual Module under Multisensory Field and Attention Mechanism Based Optimized U-Net for VHR Image Semantic Segmentation

Si Ran et al.

Summary: The study constructed RMMF network module to extract multiscale features of target and optimize information; By replacing the convolutional layers of U-Net with RMMF, it improved the network structure; Experiments show that this method outperforms other technologies in airborne and spaceborne imagery.

SENSORS (2021)

Article Medicine, General & Internal

ASCU-Net: Attention Gate, Spatial and Channel Attention U-Net for Skin Lesion Segmentation

Xiaozhong Tong et al.

Summary: This paper proposed an extended version of U-Net model for skin lesion segmentation using three attention mechanisms. Experimental results demonstrated the method's strong robustness in handling irregular borders, lesions, skin smooth transitions, noise, and artifacts.

DIAGNOSTICS (2021)

Article Computer Science, Information Systems

ResDUnet: A Deep Learning-Based Left Ventricle Segmentation Method for Echocardiography

Alyaa Amer et al.

Summary: The study proposed a fully automated left ventricle segmentation method named ResDUnet, which achieved outstanding performance in overcoming the fuzziness of echocardiographic images through integrated cascaded dilated convolution for feature extraction.

IEEE ACCESS (2021)

Article Computer Science, Artificial Intelligence

Learning Cascade Attention for fine-grained image classification

Youxiang Zhu et al.

NEURAL NETWORKS (2020)

Article Computer Science, Interdisciplinary Applications

Dense Dilated Network With Probability Regularized Walk for Vessel Detection

Lei Mou et al.

IEEE TRANSACTIONS ON MEDICAL IMAGING (2020)

Article Computer Science, Interdisciplinary Applications

UNet plus plus : Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation

Zongwei Zhou et al.

IEEE TRANSACTIONS ON MEDICAL IMAGING (2020)

Article Biotechnology & Applied Microbiology

SCAU-Net: Spatial-Channel Attention U-Net for Gland Segmentation

Peng Zhao et al.

FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY (2020)

Article Computer Science, Information Systems

DA-Capnet: Dual Attention Deep Learning Based on U-Net for Nailfold Capillary Segmentation

Yuli Sun Hariyani et al.

IEEE ACCESS (2020)

Article Computer Science, Artificial Intelligence

Attention gated networks: Learning to leverage salient regions in medical images

Jo Schlemper et al.

MEDICAL IMAGE ANALYSIS (2019)

Article Computer Science, Interdisciplinary Applications

Deep Learning for Segmentation Using an Open Large-Scale Dataset in 2D Echocardiography

Sarah Leclerc et al.

IEEE TRANSACTIONS ON MEDICAL IMAGING (2019)

Article Computer Science, Information Systems

Deep residual learning for image steganalysis

Songtao Wu et al.

MULTIMEDIA TOOLS AND APPLICATIONS (2018)

Article Computer Science, Artificial Intelligence

DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

Liang-Chieh Chen et al.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2018)

Article Computer Science, Software Engineering

Stacked fully convolutional networks with multi-channel learning: application to medical image segmentation

Lei Bi et al.

VISUAL COMPUTER (2017)

Article Computer Science, Artificial Intelligence

Benign and malignant breast tumors classification based on region growing and CNN segmentation

Rahimeh Rouhi et al.

EXPERT SYSTEMS WITH APPLICATIONS (2015)

Article Computer Science, Artificial Intelligence

A comparative evaluation of interactive segmentation algorithms

Kevin McGuinness et al.

PATTERN RECOGNITION (2010)