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
Electricity Demand Forecasting Using a Consumption Pattern Extraction Model Based on Stacked LSTM Networks from Short-Term and Long-Term Time Series Consumption Data
Reyhaneh Taghizadeh khankook - Mojtaba Banifakhr - Vahid Baghshani
VGG16-M: بهینهسازی مبتنی بر تابع فعالسازی Mish و دادههای Hounsfield Unit در طبقهبندی نوع پاتولوژیک سرطان ریه از تصاویر CT
مرضیه علی آتشی - صدیقه غفرانی
On spatiotemporal-aware deep neural networks for real-time video fire detection: empowering image-based models with temporal and spatial features of video
Mahdi Shamisavi - Sahar Eslami - Amir Jahanshahi - Morteza Rajabzadeh
Design of a highly efficient photoconductive terahertz modulator enhanced by photonic crystal resonant cavity
Faramarz Alihosseini - Zahra Heshmatpanah - Hesam Zandi
A Coordinated Planning Strategy for EV Charging Infrastructure and Reactive Power Support in Distribution Networks Using a Composite System Performance Index
Sadegh Derikvandi - Mahmoud Reza Shakarami - Houman Bastami
Design of a Three-Stage OTA with Wide Capacitive Load Range Using Dual-Path and Q-Factor Compensation
Mohammadreza Abedi Orang
Using a Novel Connection Triangle as a Classifier to Discriminate between Different Faults in the Frequency Response Analysis
Mohammad Hamed Samimi
Optimization of a three-phase Induction Motor for Electric Vehicles Based on Hook-Jews Optimization Method
Arash Mousaei - Naghi Rostami - Mohammad Bagher Bannae Sharifian
Effهcient Dual-Retrieval Graph-based RAG for Persian Technical Documents in an Offline Oil Refinery Setting
Zohreh Ansari - Mansoor Khademi - Gholamreza Bagheri Di
بررسی ارتباط الگوی خریدوفروش کاربران ارز دیجیتال و حرکات قیمت بازار رمزارز
مهسا علیزاده نیلی - عبدالحسین وهابی - محمدرضا ابوالقاسمی
بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 44.7.2
