Cargando…

Deep learning kidney segmentation with very limited training data using a cascaded convolution neural network

BACKGROUND: Deep learning segmentation requires large datasets with ground truth. Image annotation is time consuming and leads to shortages of ground truth data for clinical imaging. This study is to investigate the feasibility of kidney segmentation using deep learning convolution neural network (C...

Descripción completa

Detalles Bibliográficos
Autores principales:	Guo, Junyu, Odu, Ayobami, Pedrosa, Ivan
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Public Library of Science 2022
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9084530/ https://www.ncbi.nlm.nih.gov/pubmed/35533181 http://dx.doi.org/10.1371/journal.pone.0267753

Ejemplares similares

Automated Training of Deep Convolutional Neural Networks for Cell Segmentation
por: Sadanandan, Sajith Kecheril, et al.
Publicado: (2017)

Eye Tracking for Deep Learning Segmentation Using Convolutional Neural Networks
por: Stember, J. N., et al.
Publicado: (2019)

Evaluating Very Deep Convolutional Neural Networks for Nucleus Segmentation from Brightfield Cell Microscopy Images
por: Ali, Mohammed A. S., et al.
Publicado: (2021)

Training Convolutional Networks for Prostate Segmentation With Limited Data
por: SAUNDERS, SARA L., et al.
Publicado: (2021)

Deep convolutional neural networks for automated segmentation of brain metastases trained on clinical data
por: Bousabarah, Khaled, et al.
Publicado: (2020)

Deep Learning-Based Segmentation of Peach Diseases Using Convolutional Neural Network
por: Yao, Na, et al.
Publicado: (2022)

Deep convolutional neural networks for detection of abnormalities in chest X-rays trained on the very large dataset
por: Aktas, Kadir, et al.
Publicado: (2022)

Automatic Brain Tumor Segmentation Based on Cascaded Convolutional Neural Networks With Uncertainty Estimation
por: Wang, Guotai, et al.
Publicado: (2019)

MIScnn: a framework for medical image segmentation with convolutional neural networks and deep learning
por: Müller, Dominik, et al.
Publicado: (2021)

Fully automatic wound segmentation with deep convolutional neural networks
por: Wang, Chuanbo, et al.
Publicado: (2020)

Deep Learning-Based Segmentation and Quantification of Cucumber Powdery Mildew Using Convolutional Neural Network
por: Lin, Ke, et al.
Publicado: (2019)

Using Deep Convolutional Neural Networks for Neonatal Brain Image Segmentation
por: Ding, Yang, et al.
Publicado: (2020)

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

Optimising a 3D convolutional neural network for head and neck computed tomography segmentation with limited training data
por: Henderson, Edward G.A., et al.
Publicado: (2022)

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

Location Sensitive Deep Convolutional Neural Networks for Segmentation of White Matter Hyperintensities
por: Ghafoorian, Mohsen, et al.
Publicado: (2017)

Polyp Segmentation with Fully Convolutional Deep Neural Networks—Extended Evaluation Study †
por: Guo, Yunbo, et al.
Publicado: (2020)

Automatic Detection and Segmentation of Colorectal Cancer with Deep Residual Convolutional Neural Network
por: Akilandeswari, A., et al.
Publicado: (2022)

A Lightweight Semantic Segmentation Algorithm Based on Deep Convolutional Neural Networks
por: Yang, Chengzhi, et al.
Publicado: (2022)

Tumor Segmentation in Contrast-Enhanced Magnetic Resonance Imaging for Nasopharyngeal Carcinoma: Deep Learning with Convolutional Neural Network
por: Li, Qiaoliang, et al.
Publicado: (2018)

A Deep Learning Approach for Brain Tumor Classification and Segmentation Using a Multiscale Convolutional Neural Network
por: Díaz-Pernas, Francisco Javier, et al.
Publicado: (2021)

Deep Learning Model With Convolutional Neural Network for Detecting and Segmenting Hepatocellular Carcinoma in CT: A Preliminary Study
por: Duc, Vo Tan, et al.
Publicado: (2022)

Deep semi-supervised learning for automatic segmentation of inferior alveolar nerve using a convolutional neural network
por: Lim, Ho-Kyung, et al.
Publicado: (2021)

Segmentation-Assisted Fully Convolutional Neural Network Enhances Deep Learning Performance to Identify Proliferative Diabetic Retinopathy
por: Alam, Minhaj, et al.
Publicado: (2023)

Training Deep Convolutional Neural Networks with Resistive Cross-Point Devices
por: Gokmen, Tayfun, et al.
Publicado: (2017)

Deep learning with convolutional neural networks for EEG decoding and visualization
por: Schirrmeister, Robin Tibor, et al.
Publicado: (2017)

Low-Rank Deep Convolutional Neural Network for Multitask Learning
por: Su, Fang, et al.
Publicado: (2019)

A primer on deep learning and convolutional neural networks for clinicians
por: Iglesias, Lara Lloret, et al.
Publicado: (2021)

Diagnosing COVID-19 from CT Image of Lung Segmentation & Classification with Deep Learning Based on Convolutional Neural Networks
por: Kumari, K. Sita, et al.
Publicado: (2021)

Deep learning-based image segmentation model using an MRI-based convolutional neural network for physiological evaluation of the heart
por: Xu, Wanni, et al.
Publicado: (2023)

Segmentation and classification of colon glands with deep convolutional neural networks and total variation regularization
por: Kainz, Philipp, et al.
Publicado: (2017)

Segmentation of the Proximal Femur from MR Images using Deep Convolutional Neural Networks
por: Deniz, Cem M., et al.
Publicado: (2018)

An automatic nuclei segmentation method based on deep convolutional neural networks for histopathology images
por: Jung, Hwejin, et al.
Publicado: (2019)

DMCNN: A Deep Multiscale Convolutional Neural Network Model for Medical Image Segmentation
por: Teng, Lin, et al.
Publicado: (2019)

Microscopic nuclei classification, segmentation, and detection with improved deep convolutional neural networks (DCNN)
por: Alom, Zahangir, et al.
Publicado: (2022)

Multi-Scale Deep Neural Network Based on Dilated Convolution for Spacecraft Image Segmentation
por: Liu, Yuan, et al.
Publicado: (2022)

Retracted: A Lightweight Semantic Segmentation Algorithm Based on Deep Convolutional Neural Networks
por: Intelligence and Neuroscience, Computational
Publicado: (2023)

Estimation of Cardiac Short Axis Slice Levels with a Cascaded Deep Convolutional and Recurrent Neural Network Model
por: Ho, Namgyu, et al.
Publicado: (2022)

A convolutional neural network for segmentation of yeast cells without manual training annotations
por: Kruitbosch, Herbert T, et al.
Publicado: (2021)

Re-Training of Convolutional Neural Networks for Glottis Segmentation in Endoscopic High-Speed Videos
por: Döllinger, Michael, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_3rrp71h3u2eg9prgdongk1rk09