Cargando…

Three-Dimensional Semantic Segmentation of Pituitary Adenomas Based on the Deep Learning Framework-nnU-Net: A Clinical Perspective

This study developed and evaluated nnU-Net models for three-dimensional semantic segmentation of pituitary adenomas (PAs) from contrast-enhanced T1 (T1ce) images, with aims to train a deep learning-based model cost-effectively and apply it to clinical practice. Methods: This study was conducted in t...

Descripción completa

Detalles Bibliográficos
Autores principales:	Shu, Xujun, Zhou, Yijie, Li, Fangye, Zhou, Tao, Meng, Xianghui, Wang, Fuyu, Zhang, Zhizhong, Pu, Jian, Xu, Bainan
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8703586/ https://www.ncbi.nlm.nih.gov/pubmed/34945322 http://dx.doi.org/10.3390/mi12121473

Ejemplares similares

An Algorithm for Automatic Rib Fracture Recognition Combined with nnU-Net and DenseNet
por: Zhang, Junzhong, et al.
Publicado: (2022)

Automatic epicardial adipose tissue segmentation in pulmonary computed tomography venography using nnU-Net
por: Hu, Yifan, et al.
Publicado: (2023)

Lifelong nnU-Net: a framework for standardized medical continual learning
por: González, Camila, et al.
Publicado: (2023)

Application of nnU-Net for Automatic Segmentation of Lung Lesions on CT Images and Its Implication for Radiomic Models
por: Ferrante, Matteo, et al.
Publicado: (2022)

An open-source nnU-net algorithm for automatic segmentation of MRI scans in the male pelvis for adaptive radiotherapy
por: Lorenzen, Ebbe Laugaard, et al.
Publicado: (2023)

Independent Validation of a Deep Learning nnU-Net Tool for Neuroblastoma Detection and Segmentation in MR Images
por: Veiga-Canuto, Diana, et al.
Publicado: (2023)

nnU-Net Deep Learning Method for Segmenting Parenchyma and Determining Liver Volume From Computed Tomography Images
por: Pettit, Rowland W., et al.
Publicado: (2022)

A Fusion Biopsy Framework for Prostate Cancer Based on Deformable Superellipses and nnU-Net
por: Altini, Nicola, et al.
Publicado: (2022)

The application of the nnU-Net-based automatic segmentation model in assisting carotid artery stenosis and carotid atherosclerotic plaque evaluation
por: Zhu, Ying, et al.
Publicado: (2022)

Towards Longitudinal Glioma Segmentation: Evaluating combined pre- and post-treatment MRI training data for automated tumor segmentation using nnU-Net
por: Ranjbar, Sara, et al.
Publicado: (2023)

Outcome of Endoscopic Transsphenoidal Surgery in Combination with Somatostatin Analogues in Patients with Growth Hormone Producing Pituitary Adenoma
por: Zhou, Tao, et al.
Publicado: (2014)

Self‐configuring nnU‐Net for automatic delineation of the organs at risk and target in high‐dose rate cervical brachytherapy, a low/middle‐income country's experience
por: Duprez, Didier, et al.
Publicado: (2023)

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

Endoscopic endonasal transsphenoidal surgery of 1,166 pituitary adenomas
por: Wang, Fuyu, et al.
Publicado: (2014)

Prediction of pituitary stalk position in pituitary adenomas by visualization of the hypothalamo-hypophyseal tract using diffusion tensor imaging tractography
por: Wang, Fuyu, et al.
Publicado: (2018)

Study of extravisual resting-state networks in pituitary adenoma patients with vision restoration
por: Wang, Fuyu, et al.
Publicado: (2022)

PDC-Net: parallel dilated convolutional network with channel attention mechanism for pituitary adenoma segmentation
por: Zhang, Qile, et al.
Publicado: (2023)

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

Study of rapid reorganization of visual neurofunctions with the resting‐state functional MRI in pituitary adenoma patients with vision improvement after transsphenoidal surgery
por: Wang, Fuyu, et al.
Publicado: (2021)

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

The NETting of pituitary adenoma: a gland illusion
por: Ho, Ken K. Y., 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)

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)

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

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

In vitro and in vivo efficacy of the novel oral proteasome inhibitor NNU546 in multiple myeloma
por: Zhou, Hui, et al.
Publicado: (2020)

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

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

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

Vessel Delineation Using U-Net: A Sparse Labeled Deep Learning Approach for Semantic Segmentation of Histological Images
por: Glänzer, Lukas, et al.
Publicado: (2023)

Pituitary Adenoma Surgery Survey: Neurosurgical Centers and Pituitary Adenomas
por: Netuka, David, et al.
Publicado: (2022)

Imaging of pituitary tumors: an update with the 5th WHO Classifications—part 1. Pituitary neuroendocrine tumor (PitNET)/pituitary adenoma
por: Tsukamoto, Taro, et al.
Publicado: (2023)

Efficacy evaluation of 2D, 3D U-Net semantic segmentation and atlas-based segmentation of normal lungs excluding the trachea and main bronchi
por: Nemoto, Takafumi, et al.
Publicado: (2020)

CMANet: Cross-Modality Attention Network for Indoor-Scene Semantic Segmentation
por: Zhu, Longze, et al.
Publicado: (2022)

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)

Pituitary Crooke Cell Adenoma: Two Cases of an Aggressive Pituitary Adenoma
por: Taiwo, Adeyinka, et al.
Publicado: (2023)

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

Cannot write session to /tmp/vufind_sessions/sess_dalqlr1q581blm73pb1s4mhkng