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...

Bibliografski detalji
Glavni autori:	Farnaz Hoseini, Shohreh Shamlou, Milad Ahmadi-Gharehtoragh
Format:	Članak
Jezik:	English
Izdano:	Springer 2024-10-01
Serija:	Discover Artificial Intelligence
Teme:	Autoencoder neural network MR images Segmentation MRI Brain tumor detection Autoencoder
Online pristup:	https://doi.org/10.1007/s44163-024-00180-x

Slični predmeti

FIESTA: Autoencoders for accurate fiber segmentation in tractography
od: Félix Dumais, i dr.
Izdano: (2023-10-01)

ASD-SAENet: A Sparse Autoencoder, and Deep-Neural Network Model for Detecting Autism Spectrum Disorder (ASD) Using fMRI Data
od: Fahad Almuqhim, i dr.
Izdano: (2021-04-01)

A Novel Generative Adversarial Network-Based Approach for Automated Brain Tumour Segmentation
od: Roohi Sille, i dr.
Izdano: (2023-01-01)

Super-resolution reconstruction of brain magnetic resonance images via lightweight autoencoder
od: J. Andrew, i dr.
Izdano: (2021-01-01)

Deep Learning for Skeleton-Based Human Activity Segmentation: An Autoencoder Approach
od: Md Amran Hossen, i dr.
Izdano: (2024-06-01)

Unsupervised Domain Adaptation via Stacked Convolutional Autoencoder
od: Yi Zhu, i dr.
Izdano: (2022-12-01)

Generative autoencoder to prevent overregularization of variational autoencoder
od: YoungMin Ko, i dr.
Izdano: (2025-02-01)

A Hybrid Autoencoder Network for Unsupervised Image Clustering
od: Pei-Yin Chen, i dr.
Izdano: (2019-06-01)

Improving brain tumor segmentation with anatomical prior-informed pre-training
od: Kang Wang, i dr.
Izdano: (2023-09-01)

Brain Tumor Classification Using a Combination of Variational Autoencoders and Generative Adversarial Networks
od: Bilal Ahmad, i dr.
Izdano: (2022-01-01)

Research on hybrid transformer-based autoencoders for user biometric verification
od: Mariia Havrylovych, i dr.
Izdano: (2023-09-01)

Autoencoder Artificial Neural Network Model for Air Pollution Index Prediction
od: Nor Irwin Basir, i dr.
Izdano: (2025-01-01)

Conditional Variational Autoencoder for Functional Connectivity Analysis of Autism Spectrum Disorder Functional Magnetic Resonance Imaging Data: A Comparative Study
od: Mariia Sidulova, i dr.
Izdano: (2023-10-01)

Deep Learning Autoencoder Study on ECG Signals
od: Dandi Mochamad Reza, i dr.
Izdano: (2023-12-01)

Improved Brain Tumor Segmentation in MR Images with a Modified U-Net
od: Hiam Alquran, i dr.
Izdano: (2024-07-01)

Classification of Motor Imagery EEG Signals Based on Deep Autoencoder and Convolutional Neural Network Approach
od: Jamal F. Hwaidi, i dr.
Izdano: (2022-01-01)

Unsupervised Outlier Detection via Transformation Invariant Autoencoder
od: Zhen Cheng, i dr.
Izdano: (2021-01-01)

Representation Learning: Recommendation With Knowledge Graph via Triple-Autoencoder
od: Yishuai Geng, i dr.
Izdano: (2022-06-01)

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

Deep convolutional autoencoders as generic feature extractors in seismological applications
od: Qingkai Kong, i dr.
Izdano: (2021-12-01)

Clustering With Orthogonal AutoEncoder
od: Wei Wang, i dr.
Izdano: (2019-01-01)

Efficient Local Image Descriptors Learned With Autoencoders
od: Nina Zizakic, i dr.
Izdano: (2022-01-01)

Unsupervised Anomaly Video Detection via a Double-Flow ConvLSTM Variational Autoencoder
od: Lin Wang, i dr.
Izdano: (2022-01-01)

Learning the heterogeneous representation of brain's structure from serial SEM images using a masked autoencoder
od: Ao Cheng, i dr.
Izdano: (2023-06-01)

Corrigendum: Learning the heterogeneous representation of brain's structure from serial SEM images using a masked autoencoder
od: Ao Cheng, i dr.
Izdano: (2023-11-01)

Denoising Masked Autoencoder-Based Missing Imputation within Constrained Environments for Electric Load Data
od: Jaeik Jeong, i dr.
Izdano: (2023-12-01)

BrainSeg-Net: Brain Tumor MR Image Segmentation via Enhanced Encoder–Decoder Network
od: Mobeen Ur Rehman, i dr.
Izdano: (2021-01-01)

Latent Variable Autoencoder
od: Wenjuan Han, i dr.
Izdano: (2019-01-01)

scVAG: Unified single-cell clustering via variational-autoencoder integration with Graph Attention Autoencoder
od: Seyedpouria Laghaee, i dr.
Izdano: (2024-12-01)

“Optimizing sEMG Gesture Recognition with Stacked Autoencoder Neural Network for Bionic Hand”
od: Mr. Amol Pandurang Yadav, i dr.
Izdano: (2025-06-01)

Generation and discrimination of autism MRI images based on autoencoder
od: Yuxin Shi, i dr.
Izdano: (2024-10-01)

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

Temporally Consistent Segmentation of Brain Tissue From Longitudinal MR Data
od: Pengcheng Li, i dr.
Izdano: (2020-01-01)

Bayesian Generative Models for Knowledge Transfer in MRI Semantic Segmentation Problems
od: Anna Kuzina, i dr.
Izdano: (2019-08-01)

Vibration-Based Anomaly Detection in Industrial Machines: A Comparison of Autoencoders and Latent Spaces
od: Luca Radicioni, i dr.
Izdano: (2025-02-01)

Adversarial Defense Based on Denoising Convolutional Autoencoder in EEG-Based Brain–Computer Interfaces
od: Yongting Ding, i dr.
Izdano: (2024-01-01)

EVAE-Net: An Ensemble Variational Autoencoder Deep Learning Network for COVID-19 Classification Based on Chest X-ray Images
od: Daniel Addo, i dr.
Izdano: (2022-10-01)

SVseg: Stacked Sparse Autoencoder-Based Patch Classification Modeling for Vertebrae Segmentation
od: Syed Furqan Qadri, i dr.
Izdano: (2022-03-01)

Dual Autoencoder Network with Separable Convolutional Layers for Denoising and Deblurring Images
od: Elena Solovyeva, i dr.
Izdano: (2022-09-01)

An autoencoder for heterotic orbifolds with arbitrary geometry
od: Enrique Escalante–Notario, i dr.
Izdano: (2024-01-01)