Segmentation of MR images for brain tumor detection using autoencoder neural network

Segmentation of MR images for brain tumor detection using autoencoder neural network

Abstract Medical images often require segmenting into different regions in the first analysis stage. Relevant features are selected to differentiate various regions from each other, and the images are segmented into meaningful (anatomically significant) regions based on these features. The purpose o...

Volledige beschrijving

Bibliografische gegevens
Hoofdauteurs:	Farnaz Hoseini, Shohreh Shamlou, Milad Ahmadi-Gharehtoragh
Formaat:	Artikel
Taal:	English
Gepubliceerd in:	Springer 2024-10-01
Reeks:	Discover Artificial Intelligence
Onderwerpen:	Autoencoder neural network MR images Segmentation MRI Brain tumor detection Autoencoder
Online toegang:	https://doi.org/10.1007/s44163-024-00180-x

Gelijkaardige items

FIESTA: Autoencoders for accurate fiber segmentation in tractography
door: Félix Dumais, et al.
Gepubliceerd in: (2023-10-01)

ASD-SAENet: A Sparse Autoencoder, and Deep-Neural Network Model for Detecting Autism Spectrum Disorder (ASD) Using fMRI Data
door: Fahad Almuqhim, et al.
Gepubliceerd in: (2021-04-01)

A Novel Generative Adversarial Network-Based Approach for Automated Brain Tumour Segmentation
door: Roohi Sille, et al.
Gepubliceerd in: (2023-01-01)

Super-resolution reconstruction of brain magnetic resonance images via lightweight autoencoder
door: J. Andrew, et al.
Gepubliceerd in: (2021-01-01)

Deep Learning for Skeleton-Based Human Activity Segmentation: An Autoencoder Approach
door: Md Amran Hossen, et al.
Gepubliceerd in: (2024-06-01)

Unsupervised Domain Adaptation via Stacked Convolutional Autoencoder
door: Yi Zhu, et al.
Gepubliceerd in: (2022-12-01)

Generative autoencoder to prevent overregularization of variational autoencoder
door: YoungMin Ko, et al.
Gepubliceerd in: (2025-02-01)

A Hybrid Autoencoder Network for Unsupervised Image Clustering
door: Pei-Yin Chen, et al.
Gepubliceerd in: (2019-06-01)

Improving brain tumor segmentation with anatomical prior-informed pre-training
door: Kang Wang, et al.
Gepubliceerd in: (2023-09-01)

Brain Tumor Classification Using a Combination of Variational Autoencoders and Generative Adversarial Networks
door: Bilal Ahmad, et al.
Gepubliceerd in: (2022-01-01)

Research on hybrid transformer-based autoencoders for user biometric verification
door: Mariia Havrylovych, et al.
Gepubliceerd in: (2023-09-01)

Autoencoder Artificial Neural Network Model for Air Pollution Index Prediction
door: Nor Irwin Basir, et al.
Gepubliceerd in: (2025-01-01)

Conditional Variational Autoencoder for Functional Connectivity Analysis of Autism Spectrum Disorder Functional Magnetic Resonance Imaging Data: A Comparative Study
door: Mariia Sidulova, et al.
Gepubliceerd in: (2023-10-01)

Deep Learning Autoencoder Study on ECG Signals
door: Dandi Mochamad Reza, et al.
Gepubliceerd in: (2023-12-01)

Improved Brain Tumor Segmentation in MR Images with a Modified U-Net
door: Hiam Alquran, et al.
Gepubliceerd in: (2024-07-01)

Classification of Motor Imagery EEG Signals Based on Deep Autoencoder and Convolutional Neural Network Approach
door: Jamal F. Hwaidi, et al.
Gepubliceerd in: (2022-01-01)

Unsupervised Outlier Detection via Transformation Invariant Autoencoder
door: Zhen Cheng, et al.
Gepubliceerd in: (2021-01-01)

Representation Learning: Recommendation With Knowledge Graph via Triple-Autoencoder
door: Yishuai Geng, et al.
Gepubliceerd in: (2022-06-01)

Bearing Vibration Abnormal Detection Based on Improved Autoencoder Network
door: LI Beibei, PENG Li
Gepubliceerd in: (2022-01-01)

Deep convolutional autoencoders as generic feature extractors in seismological applications
door: Qingkai Kong, et al.
Gepubliceerd in: (2021-12-01)

Clustering With Orthogonal AutoEncoder
door: Wei Wang, et al.
Gepubliceerd in: (2019-01-01)

Efficient Local Image Descriptors Learned With Autoencoders
door: Nina Zizakic, et al.
Gepubliceerd in: (2022-01-01)

Unsupervised Anomaly Video Detection via a Double-Flow ConvLSTM Variational Autoencoder
door: Lin Wang, et al.
Gepubliceerd in: (2022-01-01)

Learning the heterogeneous representation of brain's structure from serial SEM images using a masked autoencoder
door: Ao Cheng, et al.
Gepubliceerd in: (2023-06-01)

Corrigendum: Learning the heterogeneous representation of brain's structure from serial SEM images using a masked autoencoder
door: Ao Cheng, et al.
Gepubliceerd in: (2023-11-01)

Denoising Masked Autoencoder-Based Missing Imputation within Constrained Environments for Electric Load Data
door: Jaeik Jeong, et al.
Gepubliceerd in: (2023-12-01)

BrainSeg-Net: Brain Tumor MR Image Segmentation via Enhanced Encoder–Decoder Network
door: Mobeen Ur Rehman, et al.
Gepubliceerd in: (2021-01-01)

Latent Variable Autoencoder
door: Wenjuan Han, et al.
Gepubliceerd in: (2019-01-01)

scVAG: Unified single-cell clustering via variational-autoencoder integration with Graph Attention Autoencoder
door: Seyedpouria Laghaee, et al.
Gepubliceerd in: (2024-12-01)

“Optimizing sEMG Gesture Recognition with Stacked Autoencoder Neural Network for Bionic Hand”
door: Mr. Amol Pandurang Yadav, et al.
Gepubliceerd in: (2025-06-01)

Generation and discrimination of autism MRI images based on autoencoder
door: Yuxin Shi, et al.
Gepubliceerd in: (2024-10-01)

Quantitative analysis of latent space in airfoil shape generation using variational autoencoders
door: Kazuo YONEKURA
Gepubliceerd in: (2021-10-01)

Temporally Consistent Segmentation of Brain Tissue From Longitudinal MR Data
door: Pengcheng Li, et al.
Gepubliceerd in: (2020-01-01)

Bayesian Generative Models for Knowledge Transfer in MRI Semantic Segmentation Problems
door: Anna Kuzina, et al.
Gepubliceerd in: (2019-08-01)

Vibration-Based Anomaly Detection in Industrial Machines: A Comparison of Autoencoders and Latent Spaces
door: Luca Radicioni, et al.
Gepubliceerd in: (2025-02-01)

Adversarial Defense Based on Denoising Convolutional Autoencoder in EEG-Based Brain–Computer Interfaces
door: Yongting Ding, et al.
Gepubliceerd in: (2024-01-01)

EVAE-Net: An Ensemble Variational Autoencoder Deep Learning Network for COVID-19 Classification Based on Chest X-ray Images
door: Daniel Addo, et al.
Gepubliceerd in: (2022-10-01)

SVseg: Stacked Sparse Autoencoder-Based Patch Classification Modeling for Vertebrae Segmentation
door: Syed Furqan Qadri, et al.
Gepubliceerd in: (2022-03-01)

Dual Autoencoder Network with Separable Convolutional Layers for Denoising and Deblurring Images
door: Elena Solovyeva, et al.
Gepubliceerd in: (2022-09-01)

An autoencoder for heterotic orbifolds with arbitrary geometry
door: Enrique Escalante–Notario, et al.
Gepubliceerd in: (2024-01-01)