کنفرانس مهندسی برق ایران

صفحه اصلی / سی امین کنفرانس بین المللی مهندسی برق

Brain Tumor Segmentation using Multimodal MRI and Convolutional Neural Network

نویسندگان :

Nazila Loghmani¹ Roqaie Moqadam² Armin Allahverdy³

1- Northeastern University 2- دانشگاه علوم پزشکی تهران 3- دانشگاه علوم پزشکی مازندران

کلمات کلیدی :

Glioblastoma،Segmentation،Deep Learning،Convolutional Neural Network

چکیده :

Glioblastoma is the most common brain tumor with a high mortality rate. So, detecting the tumorous lesion and segmenting it into its subsets can be helpful to evaluate the grade of the tumor in tracking the therapeutic interventions. Moreover, image segmentation is commonly used for evaluating and visualizing the anatomy of brain tissue in MRI. On the other hand, the convolutional neural network is a network with a deep learning approach and directly learns from data without any feature extraction. In this study, we used a multimodal MRI database containing FLAR, T1 enhanced, and T2 modalities, and a convolutional neural network to segment tumors into whole tumor, core tumor, and necrotic tumor. The results showed accuracy with 85.41% for whole tumor, 90.11% for core tumor, and 79.75% for necrotic tumor. These results showed that using a convolutional neural network is reliable for brain tumor segmentation. Considering this approach used multimodal MRI, this segmentation could be separately done for each tissue.

لیست مقالات

لیست مقالات بایگانی شده

FGM Copula based Analysis of Outage Probability for Wireless Three-User Multiple Access Channel with Correlated Channel Coefficients

Mona Sadat Mohsenzadeh - Ghosheh Abed Hodtani

A New Method Based on Emprical Wavelet Transform in Order to Detect Current Transformer Saturation in Distance Relay

Amir Ali Ahmadi Pishkohi - Seyed Amir Hosseini - Behrooz Taheri

طراحی ایستگاه شارژ سریع با در نظر گرفتن عدم قطعیت منابع تجدیدپذیر و مدیریت ریسک

محمد بزرگ‌پور رودباری - میثم جعفری نوکندی - محمد هاشمی مصیر

An improved ECG segmentation method based on adaptive Hermite functions

Abazar Arabameri - Sajad Haghzad Klidbary

ناحیه بندی تصاویر سار به کمک ویژگی های بافت استخراج شده از میدان تصادفی مارکوف گاوسی در سطح ناحیه

نرگس شکوهی - محمد صادق هلفروش - ریحانه غفاری - حبیب اله دانیالی

Efficient signal detection via compressive sensing in uplink massive MIMO systems

Soroush Mesforush Mashhad - Mojtaba Amiri - Ali Olfat

Low Complexity Multi-User Indoor Localization Using Reconfigurable Intelligent Surface

Nooshin Afzali - Mohammad Javad Omidi - Keivan Navaie - Naghmeh Sadat Moayedian

Insulation System Optimization in Dry-Type Transformer Using Finite Element Method

Shohreh Saberi - Mehdi Bigdeli - Davood Azizian

Stability Analysis of a New Switched SEIAR-Vac-Iso Epidemic Model for the COVID-19

Amir Hossein Amiri Mehra - Mohsen Shafieirad - Zohreh Abbasi - Iman Zamani

Control of optical bistability in one-dimensional photonic crystals with a central layer doped with Landa-type three-level atoms using atomic and laser parameters

Akbar Ashrafabadi - Siamak Khademi - Ghasem Naeimi

بیشتر

ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 42.8.0