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

Artiﬁcial Intelligence-Based Prediction of Flexibility Requirements in Power Systems

MohammadReza Zarei-Jeliani - Mahmud Fotuhi-Firuzabad - Niloofar Pourghaderi

طراحی و پیاده سازی ژنراتور تولید کننده پالس PFN-Marx فشرده و ماژولار برای تولید پالس 25 کیلوولتی

محمد حسین رنجبر - محمدجواد گل علی پور

Design of Fresnel-Region Millimeter-Wave Metasurface Beam Shaper Using Deep Learning

Mohammad Hossein Koohi Ghamsari - Ehsan Imanbeygi - Mehdi Ahmadi-Boroujeni

Using the Artificial Bee Colony (ABC) Algorithm in Collaboration with the Fog Nodes in the Internet of Things Three-layer Architecture

Shakoor Vakilian - Seyed Vahid Moravvej - Ali Fanian

Identifying Singular 2-D Systems Using 1-D Methods

Masoud Shafiee - Kamyar Azarakhsh

An Improved U-Type Inter-Modular Biased-Flux Permanent Magnet Motor

Ehsan Farmahini Farahani - Mohammad Afrank - Mojtaba Mirsalim - Javad Shokrollahi Moghani

Energy-Efficient Residue-to-Binary Conversion Based on a Modulo-Adder-Free Architecture

Kamalaldin Mozaffari Maid - Amir Sabbagh Molahosseini

تخمین بهینه پارامترهای مدل یک ماژول فتوولتائیک توسط الگوریتم بهینه سازی Mayfly

پریسا اکبری - نجمه اقبال

Investigating Validity and Reliability of The Features Extracted by a 5R Vertical Robot for Arm Motion and Learning Assessment

Sarvenaz Bourbour - Fariba Bahrami Boodelalou - Ghorban Taghizadeh

Low-power and Low-Phase Noise Gm-Boosted Differential CMOS LC Voltage Controlled Oscillator using Genetic Algorithm

Mohammad Jafar Hemmati - Sepehr Ebrahimi Mood

ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 40.4.2