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...

Bibliografiset tiedot
Päätekijät:	Farnaz Hoseini, Shohreh Shamlou, Milad Ahmadi-Gharehtoragh
Aineistotyyppi:	Artikkeli
Kieli:	English
Julkaistu:	Springer 2024-10-01
Sarja:	Discover Artificial Intelligence
Aiheet:	Autoencoder neural network MR images Segmentation MRI Brain tumor detection Autoencoder
Linkit:	https://doi.org/10.1007/s44163-024-00180-x

Samankaltaisia teoksia

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Unsupervised Outlier Detection via Transformation Invariant Autoencoder
Tekijä: Zhen Cheng, et al.
Julkaistu: (2021-01-01)

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

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

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

Clustering With Orthogonal AutoEncoder
Tekijä: Wei Wang, et al.
Julkaistu: (2019-01-01)

Efficient Local Image Descriptors Learned With Autoencoders
Tekijä: Nina Zizakic, et al.
Julkaistu: (2022-01-01)

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

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

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

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

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

Latent Variable Autoencoder
Tekijä: Wenjuan Han, et al.
Julkaistu: (2019-01-01)

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

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

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

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

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

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

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

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

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

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

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

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