Cargando…

Convolutional neural networks in medical image understanding: a survey

Imaging techniques are used to capture anomalies of the human body. The captured images must be understood for diagnosis, prognosis and treatment planning of the anomalies. Medical image understanding is generally performed by skilled medical professionals. However, the scarce availability of human...

Descripción completa

Detalles Bibliográficos
Autores principales:	Sarvamangala, D. R., Kulkarni, Raghavendra V.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Springer Berlin Heidelberg 2021
Materias:	Review Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7778711/ https://www.ncbi.nlm.nih.gov/pubmed/33425040 http://dx.doi.org/10.1007/s12065-020-00540-3

Ejemplares similares

Pooling in convolutional neural networks for medical image analysis: a survey and an empirical study
por: Nirthika, Rajendran, et al.
Publicado: (2022)

The Application of Deep Convolutional Neural Networks to Brain Cancer Images: A Survey
por: Zadeh Shirazi, Amin, et al.
Publicado: (2020)

Deep Convolutional Neural Networks for Detecting COVID-19 Using Medical Images: A Survey
por: Khattab, Rana, et al.
Publicado: (2023)

Fully Convolutional Network for the Semantic Segmentation of Medical Images: A Survey
por: Huang, Sheng-Yao, et al.
Publicado: (2022)

CNN-LRP: Understanding Convolutional Neural Networks Performance for Target Recognition in SAR Images
por: Zang, Bo, et al.
Publicado: (2021)

Knowledge distillation with ensembles of convolutional neural networks for medical image segmentation
por: Noothout, Julia M. H., et al.
Publicado: (2022)

A Survey of Convolutional Neural Network in Breast Cancer
por: Zhu, Ziquan, et al.
Publicado: (2023)

Deep learning and convolutional neural networks for medical imaging and clinical informatics
por: Lu, Le, et al.
Publicado: (2019)

Detection and identification of COVID -19 based on chest medical image by using convolutional neural networks
por: Pranav, Jothi V., et al.
Publicado: (2020)

Understanding Dilated Mathematical Relationship between Image Features and the Convolutional Neural Network’s Learnt Parameters
por: Alsaghir, Eyad, et al.
Publicado: (2022)

Visual Interpretation of Convolutional Neural Network Predictions in Classifying Medical Image Modalities
por: Kim, Incheol, et al.
Publicado: (2019)

Annotation of enhanced radiographs for medical image retrieval with deep convolutional neural networks
por: Pelka, Obioma, et al.
Publicado: (2018)

Stochastic gradient descent optimisation for convolutional neural network for medical image segmentation
por: Nagendram, Sanam, et al.
Publicado: (2023)

A Survey of Computer-Aided Tumor Diagnosis Based on Convolutional Neural Network
por: Yan, Yan, et al.
Publicado: (2021)

Image Sensing and Processing with Convolutional Neural Networks
por: Coleman, Sonya, et al.
Publicado: (2022)

Image-based recognition of surgical instruments by means of convolutional neural networks
por: Lehr, Jan, et al.
Publicado: (2023)

A Survey of Deep Convolutional Neural Networks Applied for Prediction of Plant Leaf Diseases
por: Dhaka, Vijaypal Singh, et al.
Publicado: (2021)

Sense understanding of text conversation using temporal convolution neural network
por: Rathor, Sandeep, et al.
Publicado: (2022)

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

Multi-Modality Medical Image Fusion Using Convolutional Neural Network and Contrast Pyramid
por: Wang, Kunpeng, et al.
Publicado: (2020)

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

Convolutional Neural Networks for Recognition of Lymphoblast Cell Images
por: Pansombut, Tatdow, et al.
Publicado: (2019)

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

Automatic classification of medical image modality and anatomical location using convolutional neural network
por: Chiang, Chen-Hua, et al.
Publicado: (2021)

Medical Image Retrieval Using Empirical Mode Decomposition with Deep Convolutional Neural Network
por: Zhang, Shaomin, et al.
Publicado: (2020)

On the Analyses of Medical Images Using Traditional Machine Learning Techniques and Convolutional Neural Networks
por: Iqbal, Saeed, et al.
Publicado: (2023)

Dense Convolutional Network and Its Application in Medical Image Analysis
por: Zhou, Tao, et al.
Publicado: (2022)

Convolutional neural networks: an overview and application in radiology
por: Yamashita, Rikiya, et al.
Publicado: (2018)

Dense Convolutional Neural Network for Detection of Cancer from CT Images
por: Sreenivasu, S. V. N., et al.
Publicado: (2022)

Convolutional neural networks with event images for pileup mitigation
por: Brickwedde, Bernard, et al.
Publicado: (2020)

Adaptive Modular Convolutional Neural Network for Image Recognition
por: Wu, Wenbo, et al.
Publicado: (2022)

Survey on Diagnosing CORONA VIRUS from Radiography Chest X-ray Images Using Convolutional Neural Networks
por: Thirukrishna, J. T., et al.
Publicado: (2022)

Artificial Convolutional Neural Network in Object Detection and Semantic Segmentation for Medical Imaging Analysis
por: Yang, Ruixin, et al.
Publicado: (2021)

Utility of convolutional neural network-based algorithm in medical images for liver fibrosis assessment
por: Wei, Wei, et al.
Publicado: (2021)

Medical image-based detection of COVID-19 using Deep Convolution Neural Networks
por: Gaur, Loveleen, et al.
Publicado: (2021)

Multimodal medical image fusion using convolutional neural network and extreme learning machine
por: Kong, Weiwei, et al.
Publicado: (2022)

Convolutional Neural Networks for Image-Based High-Throughput Plant Phenotyping: A Review
por: Jiang, Yu, et al.
Publicado: (2020)

Fast automated detection of COVID-19 from medical images using convolutional neural networks
por: Liang, Shuang, et al.
Publicado: (2021)

Aleatoric uncertainty estimation with test-time augmentation for medical image segmentation with convolutional neural networks
por: Wang, Guotai, et al.
Publicado: (2019)

Brain Tumor Diagnosis Using Machine Learning, Convolutional Neural Networks, Capsule Neural Networks and Vision Transformers, Applied to MRI: A Survey
por: Akinyelu, Andronicus A., et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_bh6vsekfek88ecbckerm5lsvf6