کنفرانس مهندسی برق ایران

صفحه اصلی / سی و سومین کنفرانس بین المللی مهندسی برق

Deep Learning Meets Explainable AI: A Robust Framework for X-Ray Fracture Detection

نویسندگان :

Ali Tamizifar¹ Shakiba Berenjkoub² Mina Amiri³

1- Isfahan university of technology 2- Isfahan university of technology 3- Isfahan university of technology

کلمات کلیدی :

Bone Fracture،FracAtlas،Explainable AI

چکیده :

Bone fractures, commonly diagnosed by X-ray imaging, often pose challenges for accurate detection due to variability in appearance and image quality. This study proposes a three-stage deep learning framework to address these challenges, namely preprocessing, binary classification, and localization. The preprocessing stage enhances image quality and removes extraneous parts of the X-ray images to isolate the primary regions of interest. The Swin Transformer V2 model achieves a classification accuracy of 95.41%, while YOLOv11 attains a mAP50 of 0.606 for fracture localization. To ensure explainability, Gradient-weighted Class Activation Mapping (Grad-CAM) is utilized to visualize the outputs from the last layer before the classifier and highlight the regions most relevant to the model’s decisions. This robust framework not only achieves high accuracy but also offers transparency, making it suitable for clinical applications in fracture detection.

لیست مقالات

لیست مقالات بایگانی شده

Virtual power plant participation in day-ahead and futures markets with a deep learning approach

Farzin Ghasemi Olanlari - Mohammad Fazel Dehghanniri - Turaj Amraee

A Coronavirus Herd Immunity Optimizer For Intrusion Detection System

Amir Soltany Mahboob - Hadi Shahriar Shahhoseini - Mohammad Reza Ostadi Moghaddam - Shima Yousefi

ارزش گذاری منابع تولید پراکنده به منظور توسعه شبکه توزیع برق به کمک نظریه بازی‌ها

شایان مرادیان - حبیب رجبی مشهدی

تولید پایگاه داده مصنوعی برای مقره های الکتریکی از روی داده‌های تصویری با استفاده از شبکه‌های مولد تخاصمی

امیرحسین جراره - ابولفضل منافی - سعید شمقدری

A Non-Isolated Extendable Common Grounded DC-DC Boost Converter for DC-microgrid Applications

Saed Mahmoud alilou - Ali Nadermohammadi - Mohammad Maalandish - Seyed hossein Hosseini - Kazem Zare - Mehdi Abapour

Flexibility Assessment of Virtual Power Plant with Considering Dispatchable Wind Turbine

Mahdi Rahimi - Fatemeh Jahanbani Ardakani - Ali Reza Rahimi

A New Approach to Determine Maximum Allowable Penetration level of LSPVPPs Considering Transient Angle Stability

Siavash Yari - Hamid Khoshkhoo

User Identification Based on Hand Geometrical Biometrics Using Media-Pipe

Sara Ghanbari - Zahra Parvin Ashtyani - Mehdi Tale Masouleh

Formation of Singular Multi-Agent Systems via a New Iterative Learning Control Approach

Ali Raddanipour - Masoud Shafiee

Multi-physics electromagnetic-mechanical analysis of a high-speed switched reluctance motor for vacuum cleaner application

Nasrin Majlesi - Morteza Saghaian-Nejad - Amir Rashidi

بیشتر

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