لطفا منتظر بمانید ...
0% Complete
صفحه اصلی
/
سی و چهارمین کنفرانس بین المللی مهندسی برق
Segmentation and Classification of Breast Tumors in Ultrasound Images using Adaptive Saliency of DeepLabV3+ and ResNet34 Networks
نویسندگان :
Seyede Reyhane Khorashadizade
1
Seyed Hamid Khatami
2
1- دانشگاه بیرجند
2- دانشگاه بیرجند
کلمات کلیدی :
Deep learning،Adaptive Spatial-Frequency Saliency،Breast ultrasound images،Convolutional Neural Networks (CNN)،Segmentation،Classification
چکیده :
Breast cancer remains one of the most prevalent and complex cancers, where early detection is crucial yet often challenging. This study proposes a highly accurate deep learning–based model for automatic segmentation and classification of breast cancer tumors in ultrasound images. The model employs convolutional neural networks utilizing the BUSI dataset, integrating the DeepLabV3Plus architecture with a MiT-B5 encoder for segmentation and a ResNet34 encoder for classification. Additionally, an adaptive spatial frequency saliency weighting technique is applied during both preprocessing and training to enhance performance. The proposed model achieved an accuracy of 99.49%, a precision of 99.16%, and a Dice coefficient of 94.77% in the segmentation task, outperforming conventional approaches. These results demonstrate the model’s strong potential to assist clinicians by reducing human error and improving the accuracy of early breast cancer detection.
لیست مقالات
لیست مقالات بایگانی شده
طراحی و شبیه سازی جاذب شفاف فراماده تک لایه پهن باند مبتنی بر الگوی فرکتالی با پایداری زاویه ای بالا و غیر حساس به قطبش
سحر سوقی - حمید حیدر - محمدرضا هراتی - وحید نیری
Analysis the Effect of Partial Transmission Element on the Performance of Fano Laser
Mohammad Heydari - Mohammadhasan Yavari - Aref Rasoulzadeh Zali
Afterpulse and Dark Count Simulator for Single Photon Avalanche Diodes
Mahdi Rahmanpour - Alireza Erfanian - Ahmad Afifi - Mahdi Khaje - Mohammad Hossein Fahimifar
Adaptive fault tolerant neural control of heterogeneous second-order multi-agent systems
Mohammad Hadi Rezaei - Ali Abooee
Multi-Octave Continuous Mode Power Amplifier with More Than 46 dBm Peak Output Power
Marzieh Chegini - Mahmoud Kamarei
A Transformer less Quadratic Boost DC-DC Converter with Continuous Input Current and a Few Number of Components, Based on Classical Boost and Cuk Converter Suitable for Renewable Applications
Saeed Mahdizadeh - Reza Sharifi Shahrivar - Hossein Gholizadeh - Ebrahim Afjei
Joint Space Control of a Deployable Cable Driven Parallel Robot with Redundant Actuators
S. Ahmad Khalilpour - Ali Hassani - Rohollah Khorambakht - A.R. Zahedi - Abbas Bataleblu - Hamid D. Taghirad
Intrusion Detection System for Securing Agriculture 4.0 against DDoS Attacks using Deep Learning and Machine Learning Models
Mohammad Mirmarghabi - Ahmad Afshar - Hajar Atriyanfar
Bag of Freebies Techniques to Improve Face Detection Accuracy for Small Faces
Nahid Seyed Ebrahimian - Azadeh Ashouri - Reza Akhoundzade - Mohammad Reza Mohammadi
Optimal Control of Time-Varying Fractional-Order Singular Systems with Multiple Time Delays and Uncertainties
Vahid Safari Dehnavi - Masoud Shafiee
بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 44.7.2
