Cargando…

Automatic Tissue Image Segmentation Based on Image Processing and Deep Learning

Image segmentation plays an important role in multimodality imaging, especially in fusion structural images offered by CT, MRI with functional images collected by optical technologies, or other novel imaging technologies. In addition, image segmentation also provides detailed structural description...

Descripción completa

Detalles Bibliográficos
Autores principales:	Kong, Zhenglun, Li, Ting, Luo, Junyi, Xu, Shengpu
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Hindawi 2019
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6374831/ https://www.ncbi.nlm.nih.gov/pubmed/30838122 http://dx.doi.org/10.1155/2019/2912458

Ejemplares similares

Automatic polyp image segmentation and cancer prediction based on deep learning
por: Shen, Tongping, et al.
Publicado: (2023)

Automatic Segmentation and Classification for Antinuclear Antibody Images Based on Deep Learning
por: Xie, Qinghua, et al.
Publicado: (2023)

Deep Learning for Automatic Image Segmentation in Stomatology and Its Clinical Application
por: Luo, Dan, et al.
Publicado: (2021)

Deep learning based automatic segmentation of metastasis hotspots in thorax bone SPECT images
por: Lin, Qiang, et al.
Publicado: (2020)

Annotation-efficient deep learning for automatic medical image segmentation
por: Wang, Shanshan, et al.
Publicado: (2021)

Automatic Segmentation of Standing Trees from Forest Images Based on Deep Learning
por: Shi, Lijuan, et al.
Publicado: (2022)

Deep-Learning-Based Automatic Segmentation of Parotid Gland on Computed Tomography Images
por: Önder, Merve, et al.
Publicado: (2023)

Automatic deep learning-based pleural effusion segmentation in lung ultrasound images
por: Vukovic, Damjan, et al.
Publicado: (2023)

Deep learning-based automatic sella turcica segmentation and morphology measurement in X-ray images
por: Feng, Qi, et al.
Publicado: (2023)

Automatic segmentation of rectal tumor on diffusion‐weighted images by deep learning with U‐Net
por: Zhu, Hai‐Tao, et al.
Publicado: (2021)

Fully automatic tumor segmentation of breast ultrasound images with deep learning
por: Zhang, Shuai, et al.
Publicado: (2022)

Automatic and Accurate Calculation of Rice Seed Setting Rate Based on Image Segmentation and Deep Learning
por: Guo, Yixin, et al.
Publicado: (2021)

Automatic choroidal segmentation in OCT images using supervised deep learning methods
por: Kugelman, Jason, et al.
Publicado: (2019)

A lightweight deep learning model for automatic segmentation and analysis of ophthalmic images
por: Sharma, Parmanand, et al.
Publicado: (2022)

Deep learning-based automatic segmentation for size and volumetric measurement of breast cancer on magnetic resonance imaging
por: Yue, Wenyi, et al.
Publicado: (2022)

Automatic segmentation of inferior alveolar canal with ambiguity classification in panoramic images using deep learning
por: Yang, Shuo, et al.
Publicado: (2023)

A deep learning-based model for automatic segmentation and evaluation of corneal neovascularization using slit-lamp anterior segment images
por: Chu, Xiaoran, et al.
Publicado: (2023)

A deep learning method for automatic segmentation of the bony orbit in MRI and CT images
por: Hamwood, Jared, et al.
Publicado: (2021)

Automatic Method for Optic Disc Segmentation Using Deep Learning on Retinal Fundus Images
por: Septiarini, Anindita, et al.
Publicado: (2023)

A survey on automatic generation of medical imaging reports based on deep learning
por: Pang, Ting, et al.
Publicado: (2023)

Deep-learning-based automatic segmentation and classification for craniopharyngiomas
por: Yan, Xiaorong, et al.
Publicado: (2023)

Deep learning based neural network application for automatic ultrasonic computed tomographic bone image segmentation
por: Marwa, Fradi, et al.
Publicado: (2022)

Deep learning-based fully automatic segmentation of the maxillary sinus on cone-beam computed tomographic images
por: Choi, Hanseung, et al.
Publicado: (2022)

Deep learning-based approach for the automatic segmentation of adult and pediatric temporal bone computed tomography images
por: Ke, Jia, et al.
Publicado: (2023)

Automatic Choroid Layer Segmentation from Optical Coherence Tomography Images Using Deep Learning
por: Masood, Saleha, et al.
Publicado: (2019)

Automatic Lung Segmentation Based on Texture and Deep Features of HRCT Images with Interstitial Lung Disease
por: Pang, Ting, et al.
Publicado: (2019)

A Framework for Automatic Burn Image Segmentation and Burn Depth Diagnosis Using Deep Learning
por: Liu, Hao, et al.
Publicado: (2021)

Automatic Segmentation with Deep Learning in Radiotherapy
por: Isaksson, Lars Johannes, et al.
Publicado: (2023)

Stroke risk study based on deep learning-based magnetic resonance imaging carotid plaque automatic segmentation algorithm
por: Chen, Ya-Fang, et al.
Publicado: (2023)

Deep-Learning-Based Automatic Detection of Photovoltaic Cell Defects in Electroluminescence Images
por: Wang, Junjie, et al.
Publicado: (2022)

Deep learning approach for automatic segmentation of ulna and radius in dual-energy X-ray imaging
por: Yang, Fan, et al.
Publicado: (2021)

A deep learning toolbox for automatic segmentation of subcortical limbic structures from MRI images
por: Greve, Douglas N., et al.
Publicado: (2021)

Automatic Pancreatic Cyst Lesion Segmentation on EUS Images Using a Deep-Learning Approach
por: Oh, Seok, et al.
Publicado: (2021)

Deep learning model for automatic segmentation of lungs and pulmonary metastasis in small animal MR images
por: Lefevre, Edgar, et al.
Publicado: (2022)

Development of image-processing software for automatic segmentation of brain tumors in MR images
por: Vijayakumar, C., et al.
Publicado: (2011)

Automatic Vertebral Body Segmentation Based on Deep Learning of Dixon Images for Bone Marrow Fat Fraction Quantification
por: Zhou, Jiamin, et al.
Publicado: (2020)

Automatic Segmentation of Pancreatic Tumors Using Deep Learning on a Video Image of Contrast-Enhanced Endoscopic Ultrasound
por: Iwasa, Yuhei, et al.
Publicado: (2021)

Homology-Based Image Processing for Automatic Classification of Histopathological Images of Lung Tissue
por: Nishio, Mizuho, et al.
Publicado: (2021)

DCTR U-Net: automatic segmentation algorithm for medical images of nasopharyngeal cancer in the context of deep learning
por: Zeng, Yan, et al.
Publicado: (2023)

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

Cannot write session to /tmp/vufind_sessions/sess_266bhqq8c1etplktfgkkl00t8k