Cargando…

Evaluation of Enhanced Learning Techniques for Segmenting Ischaemic Stroke Lesions in Brain Magnetic Resonance Perfusion Images Using a Convolutional Neural Network Scheme

Magnetic resonance (MR) perfusion imaging non-invasively measures cerebral perfusion, which describes the blood's passage through the brain's vascular network. Therefore, it is widely used to assess cerebral ischaemia. Convolutional Neural Networks (CNN) constitute the state-of-the-art met...

Descripción completa

Detalles Bibliográficos
Autores principales:	Pérez Malla, Carlos Uziel, Valdés Hernández, Maria del C., Rachmadi, Muhammad Febrian, Komura, Taku
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2019
Materias:	Neuroscience
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6548861/ https://www.ncbi.nlm.nih.gov/pubmed/31191282 http://dx.doi.org/10.3389/fninf.2019.00033

Ejemplares similares

Dilated Saliency U-Net for White Matter Hyperintensities Segmentation Using Irregularity Age Map
por: Jeong, Yunhee, et al.
Publicado: (2019)

Automatic spatial estimation of white matter hyperintensities evolution in brain MRI using disease evolution predictor deep neural networks
por: Rachmadi, Muhammad Febrian, et al.
Publicado: (2020)

White matter hyperintensity and stroke lesion segmentation and differentiation using convolutional neural networks
por: Guerrero, R., et al.
Publicado: (2017)

Identification of the presence of ischaemic stroke lesions by means of texture analysis on brain magnetic resonance images
por: Ortiz-Ramón, Rafael, et al.
Publicado: (2019)

Exploring the performance of implicit neural representations for brain image registration
por: Byra, Michal, et al.
Publicado: (2023)

Deep Hybrid Convolutional Neural Network for Segmentation of Melanoma Skin Lesion
por: Yang, Cheng-Hong, et al.
Publicado: (2021)

Automatic post-stroke lesion segmentation on MR images using 3D residual convolutional neural network
por: Tomita, Naofumi, et al.
Publicado: (2020)

Skin Lesion Segmentation from Dermoscopic Images Using Convolutional Neural Network
por: Zafar, Kashan, et al.
Publicado: (2020)

Spontaneous ischaemic stroke lesions in a dog brain: neuropathological characterisation and comparison to human ischaemic stroke
por: Thomsen, Barbara Blicher, et al.
Publicado: (2017)

Convolutional Neural Networks for Segmenting Cerebellar Fissures from Magnetic Resonance Imaging
por: Cabeza-Ruiz, Robin, et al.
Publicado: (2022)

Segmentation of the Prostatic Gland and the Intraprostatic Lesions on Multiparametic Magnetic Resonance Imaging Using Mask Region-Based Convolutional Neural Networks
por: Dai, Zhenzhen, et al.
Publicado: (2020)

Evaluation of a CTA-based convolutional neural network for infarct volume prediction in anterior cerebral circulation ischaemic stroke
por: Hokkinen, Lasse, et al.
Publicado: (2021)

A multi-path 2.5 dimensional convolutional neural network system for segmenting stroke lesions in brain MRI images
por: Xue, Yunzhe, et al.
Publicado: (2019)

Fully automatic acute ischemic lesion segmentation in DWI using convolutional neural networks
por: Chen, Liang, et al.
Publicado: (2017)

A semantic segmentation scheme for night driving improved by irregular convolution
por: Xuantao, Yang, et al.
Publicado: (2023)

Serial and parallel convolutional neural network schemes for NFDM signals
por: Zhang, Wen Qi, et al.
Publicado: (2022)

Current concepts on magnetic resonance imaging (MRI) perfusion-diffusion assessment in acute ischaemic stroke: a review & an update for the clinicians
por: Roldan-Valadez, Ernesto, et al.
Publicado: (2014)

Development of a Super-Resolution Scheme for Pediatric Magnetic Resonance Brain Imaging Through Convolutional Neural Networks
por: Molina-Maza, Juan Manuel, et al.
Publicado: (2022)

One-shot domain adaptation in multiple sclerosis lesion segmentation using convolutional neural networks
por: Valverde, Sergi, et al.
Publicado: (2018)

Decision Support System for Liver Lesion Segmentation Based on Advanced Convolutional Neural Network Architectures
por: Popescu, Dan, et al.
Publicado: (2022)

Convolutional neural networks for brain tumour segmentation
por: Bhandari, Abhishta, et al.
Publicado: (2020)

Computer-Aided Diagnosis Scheme for Determining Histological Classification of Breast Lesions on Ultrasonographic Images Using Convolutional Neural Network
por: Hizukuri, Akiyoshi, et al.
Publicado: (2018)

Perfusion CT in suspected ischaemic stroke: red flags that should have been blue
por: Huisman, Mark H. B., et al.
Publicado: (2010)

Testing a convolutional neural network‐based hippocampal segmentation method in a stroke population
por: Zavaliangos‐Petropulu, Artemis, et al.
Publicado: (2020)

Automatic detection of lesion load change in Multiple Sclerosis using convolutional neural networks with segmentation confidence
por: McKinley, Richard, et al.
Publicado: (2019)

Deep Active Learning for Automatic Segmentation of Maxillary Sinus Lesions Using a Convolutional Neural Network
por: Jung, Seok-Ki, et al.
Publicado: (2021)

Automatic lesion segmentation using atrous convolutional deep neural networks in dermoscopic skin cancer images
por: Kaur, Ranpreet, et al.
Publicado: (2022)

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

Automatic Segmentation of Retinal Capillaries in Adaptive Optics Scanning Laser Ophthalmoscope Perfusion Images Using a Convolutional Neural Network
por: Musial, Gwen, et al.
Publicado: (2020)

Automated nasopharyngeal carcinoma segmentation in magnetic resonance images by combination of convolutional neural networks and graph cut
por: Ma, Zongqing, et al.
Publicado: (2018)

Convolutional Neural Networks for the Segmentation of Microcalcification in Mammography Imaging
por: Valvano, Gabriele, et al.
Publicado: (2019)

Depth in convolutional neural networks solves scene segmentation
por: Seijdel, Noor, et al.
Publicado: (2020)

Convolutional neural network for automated mass segmentation in mammography
por: Abdelhafiz, Dina, et al.
Publicado: (2020)

Analysis of Convolutional Neural Network Segmentation Algorithm of Adenomyoma
por: Jin, Yi, et al.
Publicado: (2022)

Region Convolutional Neural Network for Brain Tumor Segmentation
por: Pitchai, R., et al.
Publicado: (2022)

Ensembles of Convolutional Neural Networks and Transformers for Polyp Segmentation
por: Nanni, Loris, et al.
Publicado: (2023)

Qualitative versus automatic evaluation of CT perfusion parameters in acute posterior circulation ischaemic stroke
por: Capasso, Raffaella, et al.
Publicado: (2020)

Multiple Sclerosis Lesion Segmentation in Brain MRI Using Inception Modules Embedded in a Convolutional Neural Network
por: Ansari, Shahab U., et al.
Publicado: (2021)

Automatic Cerebral Hemisphere Segmentation in Rat MRI with Ischemic Lesions via Attention-based Convolutional Neural Networks
por: Valverde, Juan Miguel, et al.
Publicado: (2022)

Convolutional neural network-based segmentation network applied to image recognition of angiodysplasias lesion under capsule endoscopy
por: Chu, Ye, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_ei7rkkn1gkm52t7fdvbgsd8bkj