Cargando…

Anti-Aliasing Attention U-net Model for Skin Lesion Segmentation

The need for a lightweight and reliable segmentation algorithm is critical in various biomedical image-prediction applications. However, the limited quantity of data presents a significant challenge for image segmentation. Additionally, low image quality negatively impacts the efficiency of segmenta...

Descripción completa

Detalles Bibliográficos
Autores principales:	Le, Phuong Thi, Pham, Bach-Tung, Chang, Ching-Chun, Hsu, Yi-Chiung, Tai, Tzu-Chiang, Li, Yung-Hui, Wang, Jia-Ching
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2023
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10137492/ https://www.ncbi.nlm.nih.gov/pubmed/37189563 http://dx.doi.org/10.3390/diagnostics13081460

Ejemplares similares

Electrocardiogram Heartbeat Classification for Arrhythmias and Myocardial Infarction
por: Pham, Bach-Tung, et al.
Publicado: (2023)

Convolutional Blur Attention Network for Cell Nuclei Segmentation
por: Thi Le, Phuong, et al.
Publicado: (2022)

ASCU-Net: Attention Gate, Spatial and Channel Attention U-Net for Skin Lesion Segmentation
por: Tong, Xiaozhong, et al.
Publicado: (2021)

Skin Lesion Area Segmentation Using Attention Squeeze U-Net for Embedded Devices
por: Pennisi, Andrea, et al.
Publicado: (2022)

Dual-Path Attention Compensation U-Net for Stroke Lesion Segmentation
por: Hui, Haisheng, et al.
Publicado: (2021)

Anti-aliasing convolution neural network of finger vein recognition for virtual reality (VR) human–robot equipment of metaverse
por: Tran, Nghi C., et al.
Publicado: (2022)

Attention-augmented U-Net (AA-U-Net) for semantic segmentation
por: Rajamani, Kumar T., et al.
Publicado: (2022)

Modified U-NET Architecture for Segmentation of Skin Lesion
por: Anand, Vatsala, et al.
Publicado: (2022)

SCAU-Net: Spatial-Channel Attention U-Net for Gland Segmentation
por: Zhao, Peng, et al.
Publicado: (2020)

APU-Net: An Attention Mechanism Parallel U-Net for Lung Tumor Segmentation
por: Zhou, Tao, et al.
Publicado: (2022)

DCAU-Net: dense convolutional attention U-Net for segmentation of intracranial aneurysm images
por: Yuan, Wenwen, et al.
Publicado: (2022)

FFU-Net: Feature Fusion U-Net for Lesion Segmentation of Diabetic Retinopathy
por: Xu, Yifei, et al.
Publicado: (2021)

Multiscale U-Net with Spatial Positional Attention for Retinal Vessel Segmentation
por: Liu, Congjun, et al.
Publicado: (2022)

Scale-attentional U-Net for the segmentation of the median nerve in ultrasound images
por: Kim, Beom Suk, et al.
Publicado: (2022)

Correction: DCAU-Net: dense convolutional attention U-Net for segmentation of intracranial aneurysm images
por: Yuan, Wenwen, et al.
Publicado: (2022)

DARU‐Net: A dual attention residual U‐Net for uterine fibroids segmentation on MRI
por: Zhang, Jian, et al.
Publicado: (2023)

Robust Iris Segmentation Algorithm in Non-Cooperative Environments Using Interleaved Residual U-Net
por: Li, Yung-Hui, et al.
Publicado: (2021)

A U-Net Approach to Apical Lesion Segmentation on Panoramic Radiographs
por: Bayrakdar, Ibrahim S., et al.
Publicado: (2022)

ADU-Net: An Attention Dense U-Net based deep supervised DNN for automated lesion segmentation of COVID-19 from chest CT images
por: Saha, Sanjib, et al.
Publicado: (2023)

FAC-Net: Feedback Attention Network Based on Context Encoder Network for Skin Lesion Segmentation
por: Dong, Yuying, et al.
Publicado: (2021)

MHAU-Net: Skin Lesion Segmentation Based on Multi-Scale Hybrid Residual Attention Network
por: Li, Yingjie, et al.
Publicado: (2022)

SeUneter: Channel attentive U-Net for instance segmentation of the cervical spine MRI medical image
por: Zhang, Xiang, et al.
Publicado: (2022)

XFinger-Net: Pixel-Wise Segmentation Method for Partially Defective Fingerprint Based on Attention Gates and U-Net
por: Wan, Guo Chun, et al.
Publicado: (2020)

Triplanar U-Net with lesion-wise voting for the segmentation of new lesions on longitudinal MRI studies
por: Hitziger, Sebastian, et al.
Publicado: (2022)

U-Net combined with multi-scale attention mechanism for liver segmentation in CT images
por: Wu, Jiawei, et al.
Publicado: (2021)

Tooth CT Image Segmentation Method Based on the U-Net Network and Attention Module
por: Tao, Sha, et al.
Publicado: (2022)

Rethinking U-Net from an Attention Perspective with Transformers for Osteosarcoma MRI Image Segmentation
por: Ouyang, Tianxiang, et al.
Publicado: (2022)

Automatic Segmentation of Lumbar Spine MRI Images Based on Improved Attention U-Net
por: Wang, Shuai, et al.
Publicado: (2022)

Feature Pyramid U-Net with Attention for Semantic Segmentation of Forward-Looking Sonar Images
por: Zhao, Dongdong, et al.
Publicado: (2022)

WRANet: wavelet integrated residual attention U-Net network for medical image segmentation
por: Zhao, Yawu, et al.
Publicado: (2023)

PCF-Net: Position and context information fusion attention convolutional neural network for skin lesion segmentation
por: Jiang, Yun, et al.
Publicado: (2023)

Multi-U-Net: Residual Module under Multisensory Field and Attention Mechanism Based Optimized U-Net for VHR Image Semantic Segmentation
por: Ran, Si, et al.
Publicado: (2021)

Disclosing ambiguous gene aliases by automatic literature profiling
por: Coimbra, Roney S, et al.
Publicado: (2010)

The importance of including aliases in data linkage with vulnerable populations
por: Tibble, Holly, et al.
Publicado: (2018)

Segmentation of roots in soil with U-Net
por: Smith, Abraham George, et al.
Publicado: (2020)

De-Aliasing and Accelerated Sparse Magnetic Resonance Image Reconstruction Using Fully Dense CNN with Attention Gates
por: Hossain, Md. Biddut, et al.
Publicado: (2022)

Nuclear Segmentation in Histopathological Images Using Two-Stage Stacked U-Nets With Attention Mechanism
por: Kong, Yan, et al.
Publicado: (2020)

Multi-Task Deep Supervision on Attention R2U-Net for Brain Tumor Segmentation
por: Ma, Shiqiang, et al.
Publicado: (2021)

Attention‐guided duplex adversarial U‐net for pancreatic segmentation from computed tomography images
por: Li, Meiyu, et al.
Publicado: (2022)

Multi-Scale Squeeze U-SegNet with Multi Global Attention for Brain MRI Segmentation
por: Dayananda, Chaitra, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_0km6ag187et3k430fqil1ck63q