0% Complete
صفحه اصلی
/
سی و یکمین کنفرانس بین المللی مهندسی برق
Improved Attention U-Net combined with Conditional Random Field for Ischemic Lesion Segmentation from Magnetic Resonance Images
نویسندگان :
Ali Rezaei
1
Asieh Khosravanian
2
Habibollah Danyali
3
Kamran Kazemi
4
Ardalan Aarabi
5
1- دانشگاه صنعتی شیراز
2- دانشگاه صنعتی شیراز
3- دانشگاه صنعتی شیراز
4- دانشگاه صنعتی شیراز
5- University of Picardy Jules Verne
کلمات کلیدی :
Ischemic Stroke،Segmentation،Deep Learning،U-Net،Conditional Random Field
چکیده :
Stroke Lesion segmentation from magnetic resonance images is of great research interest due to its capability in providing appropriate clinical information for effective treatment of stroke. Deep learning methods have demonstrated promising results in medical image segmentation and U-Net is one of the most effective models. Nevertheless, these algorithms in the area of ischemic stroke lesion segmentation are in first stages of development and they lack performance compared to other problems for instance brain tumor segmentation. In this paper, we improved U-Net algorithm by applying blocks consist of depth-wise separable convolutions with skip connections instead of normal convolution layers and new attention blocks. Based on these improvements, the new architecture has better performance and accuracy with fewer parameter which would need simpler equipment for implementation. We utilized 3D fully connected Conditional Random Field (CRF) as post processing to improve the model prediction. Experimental results showed that the proposed end-to-end deep encoder-decoder model has a significant improvement compared to existing deep learning methods on the publicly available Anatomical Tracings of Lesion After Stroke (ATLAS) dataset.
لیست مقالات
لیست مقالات بایگانی شده
Joint Request Aggregation and Content Caching at the Edge via Named Data Networking
Parisa Bakhtou - Siavash Khorsandi
The Effect of Cavity Length on Two-State Quantum Dot Laser Performance
Gholamreza Babaabasi - Mohammad Mohsen Sheikhey - Sara Alaei
A New Data Delivery Approach for Blockchain based on NDN
Shah Jahan Sirat - Sadegh Dorri Nogoorani - Behzad Akbari
Social Welfare Maximization with Demand Response Program Using Stackelberg Game Theory
Mahtab Seyyedi - Ebrahim Pirmoradi - Turaj Amraee
Single- and Multi-Hop BERT Question Classifier for Open-Domain Question Answering (SiMQC)
Faeze Zakaryapour Sayyad - Mahdi Bohlouli
Implementation of an Optimized Deep Learning Model to Assess Pediatric Sleep Apnea Severity Using SpO2 Signals on Resource-Limited Microcontrollers
Erfan Mortazavi - Hanieh Mohammadi - Bahram Tarvirdizadeh - Khalil Alipour - Mohammad Ghamari
Wind-Robust Sea-Ice Discrimination from Sentinel-1 Texture Features
Parsa Shamsaddini - Ahmad Keshavarz - Stefano Zecchetto
Classification of Schizophrenia Patients by Nonlinear Analysis of EEG
Amirhossein Tajik - Hoda Jalalkamali - Hossein Nezamabadipour
Instantaneous Blind Audio Source Separation Using Characteristic Function of Heavy-Tailed Distributions
Kamran Rajabi - Mohammadreza Hassannejad Bibalan - Neda Faraji
Coherent Direction of Arrival Estimation using Multiple Toeplitz Space Time Spatial Smoothing
Sepehr Kouzegaran - MASOUMEH AZGHANI
بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 42.0.4