Cargando…

Brain Tumor Diagnosis Using Machine Learning, Convolutional Neural Networks, Capsule Neural Networks and Vision Transformers, Applied to MRI: A Survey

Management of brain tumors is based on clinical and radiological information with presumed grade dictating treatment. Hence, a non-invasive assessment of tumor grade is of paramount importance to choose the best treatment plan. Convolutional Neural Networks (CNNs) represent one of the effective Deep...

Descripción completa

Detalles Bibliográficos
Autores principales:	Akinyelu, Andronicus A., Zaccagna, Fulvio, Grist, James T., Castelli, Mauro, Rundo, Leonardo
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2022
Materias:	Review
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9331677/ https://www.ncbi.nlm.nih.gov/pubmed/35893083 http://dx.doi.org/10.3390/jimaging8080205

Ejemplares similares

Convolutional Neural Network-Based Technique for Gaze Estimation on Mobile Devices
por: Akinyelu, Andronicus A., et al.
Publicado: (2022)

COVID-19 Diagnosis in Computerized Tomography (CT) and X-ray Scans Using Capsule Neural Network
por: Akinyelu, Andronicus A., et al.
Publicado: (2023)

COVID-19 diagnosis using deep learning neural networks applied to CT images
por: Akinyelu, Andronicus A., et al.
Publicado: (2022)

Predicting Survival in Patients with Brain Tumors: Current State-of-the-Art of AI Methods Applied to MRI
por: di Noia, Christian, et al.
Publicado: (2022)

Convolutional Neural Network Techniques for Brain Tumor Classification (from 2015 to 2022): Review, Challenges, and Future Perspectives
por: Xie, Yuting, et al.
Publicado: (2022)

Landslide Susceptibility Mapping by Fusing Convolutional Neural Networks and Vision Transformer
por: Bao, Shuai, 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)

Multispectral Plant Disease Detection with Vision Transformer–Convolutional Neural Network Hybrid Approaches
por: De Silva, Malithi, et al.
Publicado: (2023)

Plant-CNN-ViT: Plant Classification with Ensemble of Convolutional Neural Networks and Vision Transformer
por: Lee, Chin Poo, et al.
Publicado: (2023)

A guide to convolutional neural networks for computer vision
por: Khan, Salman, et al.
Publicado: (2018)

Gait-CNN-ViT: Multi-Model Gait Recognition with Convolutional Neural Networks and Vision Transformer
por: Mogan, Jashila Nair, et al.
Publicado: (2023)

Convolutional Neural Networks or Vision Transformers: Who Will Win the Race for Action Recognitions in Visual Data?
por: Moutik, Oumaima, et al.
Publicado: (2023)

ModuleNet: A Convolutional Neural Network for Stereo Vision
por: Renteria-Vidales, O. I., et al.
Publicado: (2020)

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

Deep Convolutional Neural Network for Nasopharyngeal Carcinoma Discrimination on MRI by Comparison of Hierarchical and Simple Layered Convolutional Neural Networks
por: Ji, Li, et al.
Publicado: (2022)

Comparison between vision transformers and convolutional neural networks to predict non-small lung cancer recurrence
por: Fanizzi, Annarita, et al.
Publicado: (2023)

Convolutional neural networks for vision neuroscience: significance, developments, and outstanding issues
por: Celeghin, Alessia, et al.
Publicado: (2023)

Adversarial attacks on spiking convolutional neural networks for event-based vision
por: Büchel, Julian, et al.
Publicado: (2022)

Head and Neck Cancer Segmentation in FDG PET Images: Performance Comparison of Convolutional Neural Networks and Vision Transformers
por: Xiong, Xiaofan, et al.
Publicado: (2023)

Advanced applied deep learning: convolutional neural networks and object detection
por: Michelucci, Umberto
Publicado: (2019)

Speech Emotion Recognition Using Convolution Neural Networks and Multi-Head Convolutional Transformer
por: Ullah, Rizwan, et al.
Publicado: (2023)

Application of Convolutional Neural Networks for Automated Ulcer Detection in Wireless Capsule Endoscopy Images
por: Alaskar, Haya, et al.
Publicado: (2019)

Dynamic-Vision-Based Force Measurements Using Convolutional Recurrent Neural Networks
por: Baghaei Naeini, Fariborz, et al.
Publicado: (2020)

Improved modeling of human vision by incorporating robustness to blur in convolutional neural networks
por: Jang, Hojin, et al.
Publicado: (2023)

Multitask Learning with Convolutional Neural Networks and Vision Transformers Can Improve Outcome Prediction for Head and Neck Cancer Patients
por: Starke, Sebastian, et al.
Publicado: (2023)

Multi-Dataset Comparison of Vision Transformers and Convolutional Neural Networks for Detecting Glaucomatous Optic Neuropathy from Fundus Photographs
por: Hwang, Elizabeth E., et al.
Publicado: (2023)

An Efficient Dehazing Algorithm Based on the Fusion of Transformer and Convolutional Neural Network
por: Xu, Jun, et al.
Publicado: (2022)

Attention enhanced capsule network for text classification by encoding syntactic dependency trees with graph convolutional neural network
por: Jia, Xudong, et al.
Publicado: (2022)

Landmark Detection in Cardiac MRI by Using a Convolutional Neural Network
por: Xue, Hui, et al.
Publicado: (2021)

Comparative Study of First Order Optimizers for Image Classification Using Convolutional Neural Networks on Histopathology Images
por: Kandel, Ibrahem, et al.
Publicado: (2020)

Applying Convolutional Neural Networks to Predict the ICD-9 Codes of Medical Records
por: Hsu, Jia-Lien, et al.
Publicado: (2020)

Convolutional Neural Network Applied to SARS-CoV-2 Sequence Classification
por: Câmara, Gabriel B. M., et al.
Publicado: (2022)

Cancerous and Non-Cancerous Brain MRI Classification Method Based on Convolutional Neural Network and Log-Polar Transformation
por: Jibon, Ferdaus Anam, et al.
Publicado: (2022)

Deep Convolutional Neural Network for Ulcer Recognition in Wireless Capsule Endoscopy: Experimental Feasibility and Optimization
por: Wang, Sen, et al.
Publicado: (2019)

Complementary performances of convolutional and capsule neural networks on classifying microfluidic images of dividing yeast cells
por: Ghafari, Mehran, et al.
Publicado: (2021)

Convolution neural network for the diagnosis of wireless capsule endoscopy: a systematic review and meta-analysis
por: Qin, Kaiwen, et al.
Publicado: (2021)

Small Bowel Detection for Wireless Capsule Endoscopy Using Convolutional Neural Networks with Temporal Filtering
por: Son, Geonhui, et al.
Publicado: (2022)

Neural encoding with unsupervised spiking convolutional neural network
por: Wang, Chong, et al.
Publicado: (2023)

Assessing robustness of quantitative susceptibility-based MRI radiomic features in patients with multiple sclerosis
por: Fiscone, Cristiana, et al.
Publicado: (2023)

Automatic segmentation of human knee anatomy by a convolutional neural network applying a 3D MRI protocol
por: Kulseng, Carl Petter Skaar, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_gtja229l6a63hi75450fubqi2d