0% Complete
صفحه اصلی
/
سی امین کنفرانس بین المللی مهندسی برق
Medial Residual Encoder Layers for Classification of Brain Tumors in Magnetic Resonance Images
نویسندگان :
Zahra Sobhaninia
1
Nader Karimi
2
Pejman Khadivi
3
Shadrokh Samavi
4
1- دانشگاه صنعتی اصفهان
2- دانشگاه صنعتی اصفهان
3- دانشگاه صنعتی اصفهان
4- دانشگاه صنعتی اصفهان
کلمات کلیدی :
Deep learning،Brain tumor classification،Image classification،Residual network
چکیده :
Correct and timely diagnosis of the brain tumor will make treatment more effective . To date, several image classification approaches have been proposed to aid diagnosis and treatment. In this work a deep learning approach has developed to increase tumor type classification accuracy in MRI images by considering medical image dataset limitation. In this regard, we offer a system based on deep learning, containing encoder blocks. In proposed approach in addition to more organized and simplicity architecture, residual approach used. encoder blocks are fed with post-max-pooling features as residual learning. Experimental evaluations of our approach shows promising results by improving the tumor classification accuracy in Magnetic resonance imaging (MRI) images using a limited medical image dataset. Experimental evaluations of this model on a dataset consisting of 3064 MR images show 95.98% accuracy, which is better than previous studies on this database.
لیست مقالات
لیست مقالات بایگانی شده
سیستم تبدیل انرژی خورشیدی خانگی با قابلیت انتقال توان بی سیم
سعید رئیسی گهروئی - حمیدرضا تودجی
Noninvasive Diagnosis of the Type of Breast Tumor through Artificial Neural Networks
Pooya Tahmasebi - Maryam Mehdizadeh Dastjerdi - Ali Fallah - Saeid Rashidi
A Technical-Managerial Framework for Determining Periodic Performance Indices and Operating Ranges of Power Grid Frequency
Hamed Delkhosh - Hossein Seifi - Sajjad Gholamnejad - Morteza Yousefian
Multiphysics Analysis of HTS Transformer utilizing Stainless Steel Stabilizer on Short Circuit Condition
Ashkan Mirzaei Rajeooni - Hossein Heydari - Mohammad Khakroei - Mahdi Rahimi Pirbasti
Optimal Probability Placement of the Charge Station of Electric Vehicles in a Distributed Power Network Containing the DG using the Queuing Theory
Mohammadreza Mousavi khademi - Ebrahim Kazemi - Mehdi Zareian Jahromi
Design and Analysis of a new Hybrid Switched Reluctance Motor for Achieving High Torque
Matin Rahimi - Seyed Hamid Shahalami - Esmaeil Fallah Choolabi
بهینه سازی استفاده از منابع شبکه های نوری با گرومینگ ترافیک در لایهی MPLS
محمدعلی سالک قادری - آرش رضایی - لطف اله بیگی
Robust Wireless Power Transfer by Self-Oscillating Controlled Inverter and Double-D Pads
Alireza Eikani - Mohammad Amirkhani - Hossein Jafari - Hesamodin Abdoli - Sadegh Vaez-Zadeh - Ghasem Rezazadeh
A Method Based on Attention Mechanism using Bidirectional Long-Short Term Memory(BLSTM) for Question Answering
Seyed Vahid Moravvej - Mohammad Javad Maleki Kahaki - Moein Salimi Sartakhti - Abdolreza Mirzaei
Transfer learning using deep convolutional neural network for predicting dementia severity
Vahid Asayesh - Mehdi Dehghani - Majid Torabi Nikjeh - Sepideh Akhtari khosrowshahi
بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 43.6.0
