Cargando…

Vessel Delineation Using U-Net: A Sparse Labeled Deep Learning Approach for Semantic Segmentation of Histological Images

SIMPLE SUMMARY: In our study, we aimed to create an accurate segmentation algorithm of blood vessels within histologically stained tumor tissue using deep learning. Blood vessels are crucial for supplying nutrients to tumor cells, and accurately identifying them is essential for understanding tumor...

Descripción completa

Detalles Bibliográficos
Autores principales:	Glänzer, Lukas, Masalkhi, Husam E., Roeth, Anjali A., Schmitz-Rode, Thomas, Slabu, Ioana
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2023
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10417575/ https://www.ncbi.nlm.nih.gov/pubmed/37568589 http://dx.doi.org/10.3390/cancers15153773

Ejemplares similares

Towards Realistic 3D Models of Tumor Vascular Networks
por: Lindemann, Max C., et al.
Publicado: (2023)

Combining Bulk Temperature and Nanoheating Enables Advanced Magnetic Fluid Hyperthermia Efficacy on Pancreatic Tumor Cells
por: Engelmann, Ulrich M., et al.
Publicado: (2018)

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

Establishment of a biophysical model to optimize endoscopic targeting of magnetic nanoparticles for cancer treatment
por: Roeth, Anjali A, et al.
Publicado: (2017)

Nanomagnetic Actuation of Hybrid Stents for Hyperthermia Treatment of Hollow Organ Tumors
por: Mues, Benedikt, et al.
Publicado: (2021)

Segmenting Skin Biopsy Images with Coarse and Sparse Annotations using U-Net
por: Nofallah, Shima, et al.
Publicado: (2022)

An Improved Boundary-Aware U-Net for Ore Image Semantic Segmentation
por: Wang, Wei, et al.
Publicado: (2021)

Iron Oxide Nanoparticle-Based Hyperthermia as a Treatment Option in Various Gastrointestinal Malignancies
por: Palzer, Julian, et al.
Publicado: (2021)

Image Semantic Segmentation of Underwater Garbage with Modified U-Net Architecture Model
por: Wei, Lifu, et al.
Publicado: (2022)

Coronary Vessel Segmentation by Coarse-to-Fine Strategy Using U-nets
por: Thuy, Le Nhi Lam, et al.
Publicado: (2021)

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

An improved U-net based retinal vessel image segmentation method
por: Ren, Kan, et al.
Publicado: (2022)

AID-U-Net: An Innovative Deep Convolutional Architecture for Semantic Segmentation of Biomedical Images
por: Tashk, Ashkan, 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)

SERR-U-Net: Squeeze-and-Excitation Residual and Recurrent Block-Based U-Net for Automatic Vessel Segmentation in Retinal Image
por: Wang, Jinke, et al.
Publicado: (2021)

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)

Magnetic Fluid Hyperthermia as Treatment Option for Pancreatic Cancer Cells and Pancreatic Cancer Organoids
por: Palzer, Julian, et al.
Publicado: (2021)

Dense U-net Based on Patch-Based Learning for Retinal Vessel Segmentation
por: Wang, Chang, et al.
Publicado: (2019)

Blood Vessel Segmentation of Retinal Image Based on Dense-U-Net Network
por: Li, Zhenwei, et al.
Publicado: (2021)

Placental Vessel Segmentation Using Pix2pix Compared to U-Net
por: van der Schot, Anouk, et al.
Publicado: (2023)

EnRDeA U-Net Deep Learning of Semantic Segmentation on Intricate Noise Roads
por: Yu, Xiaodong, et al.
Publicado: (2023)

Atrous residual convolutional neural network based on U-Net for retinal vessel segmentation
por: Wu, Jin, et al.
Publicado: (2022)

TCU-Net: Transformer Embedded in Convolutional U-Shaped Network for Retinal Vessel Segmentation
por: Shi, Zidi, et al.
Publicado: (2023)

Semantic Segmentation of Digestive Abnormalities from WCE Images by Using AttResU-Net Architecture
por: Lafraxo, Samira, et al.
Publicado: (2023)

Low-Cost Optimized U-Net Model with GMM Automatic Labeling Used in Forest Semantic Segmentation
por: Andrei, Alexandru-Toma, et al.
Publicado: (2023)

DBFU-Net: Double branch fusion U-Net with hard example weighting train strategy to segment retinal vessel
por: Huang, Jianping, et al.
Publicado: (2022)

Boundary Aware Semantic Segmentation using Pyramid-dilated Dense U-Net for Lung Segmentation in Computed Tomography Images
por: Agnes, S. Akila
Publicado: (2023)

A Multi-Scale Feature Fusion Method Based on U-Net for Retinal Vessel Segmentation
por: Yang, Dan, et al.
Publicado: (2020)

Multichannel Retinal Blood Vessel Segmentation Based on the Combination of Matched Filter and U-Net Network
por: Ma, Yuliang, et al.
Publicado: (2021)

Multi-Layer Preprocessing and U-Net with Residual Attention Block for Retinal Blood Vessel Segmentation
por: Alsayat, Ahmed, et al.
Publicado: (2023)

A U-Net Deep Learning Framework for High Performance Vessel Segmentation in Patients With Cerebrovascular Disease
por: Livne, Michelle, et al.
Publicado: (2019)

BCR-UNet: Bi-directional ConvLSTM residual U-Net for retinal blood vessel segmentation
por: Yi, Yugen, et al.
Publicado: (2022)

Efficient semi-supervised semantic segmentation of electron microscopy cancer images with sparse annotations
por: Pagano, Lucas, et al.
Publicado: (2023)

Boosting Multilabel Semantic Segmentation for Somata and Vessels in Mouse Brain
por: Wu, Xinglong, et al.
Publicado: (2021)

TiM-Net: Transformer in M-Net for Retinal Vessel Segmentation
por: Zhang, Hongbin, et al.
Publicado: (2022)

U-Net based vessel segmentation for murine brains with small micro-magnetic resonance imaging reference datasets
por: Praschl, Christoph, et al.
Publicado: (2023)

Three-Dimensional Semantic Segmentation of Pituitary Adenomas Based on the Deep Learning Framework-nnU-Net: A Clinical Perspective
por: Shu, Xujun, et al.
Publicado: (2021)

Multi-class semantic segmentation of breast tissues from MRI images using U-Net based on Haar wavelet pooling
por: Yang, Kwang Bin, et al.
Publicado: (2023)

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

TransU²-Net: An Effective Medical Image Segmentation Framework Based on Transformer and U²-Net
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_itgv1g6a6mdr7s4uc2euu6in6j