AppendiGrade: An XAI-Enhanced Deep Learning Framework for Grading Appendicitis in Ultrasound with Gaussian Blur and Grad-CAM
Appendicitis is one of the most common abdominal emergencies worldwide and requires prompt diagnosis and treatment to prevent life-threatening conditions. However, accurately differentiating complicated cases, such as perforation or abscess formation, from uncomplicated appendicitis remains a significant clinical challenge. Among other methods, ultrasound is a safer and more cost-efficient diagnostic technique because of the lack of radiation exposure. In this research, an advanced system capable of automatically detecting complicated appendicitis from ultrasound images was developed. A datase
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- PossiblePossibly related (embedding) · 50%A behind-the-scenes look at Midjourney’s medical scanner leaves many questions unanswered →
- PossiblePossibly related (embedding) · 48%09 Radiologists’ and Ultrasound Artificial Intelligence Decision-Support Assessment of Benign and Malignant Cystic Breast Lesions - CancerNetwork →
- FuzzySimilar title/name (fuzzy) · 87%aymericdamien/TopDeepLearning →
“Fuzzy title match (0.94): “AppendiGrade: An XAI-Enhanced Deep Learning Framework for Gr” ≈ “aymericdamien/TopDeepLearning””
- FuzzyOverlapping authors or contributors · 62%ultralytics/yolov5 →
“Shared author/contributor keys: ali”
- FuzzySimilar title/name (fuzzy) · 59%hacksider/Deep-Live-Cam →
“Fuzzy title match (0.73): “AppendiGrade: An XAI-Enhanced Deep Learning Framework for Gr” ≈ “hacksider/Deep-Live-Cam””
- LinkedLinked via arxiv author · 85%Fahad Ahammed →
“AppendiGrade: An XAI-Enhanced Deep Learning Framework for Grading Appendicitis in Ultrasound with Gaussian Blur and Grad”
- LinkedLinked via arxiv author · 85%Omar Faruq Shikdar →
“AppendiGrade: An XAI-Enhanced Deep Learning Framework for Grading Appendicitis in Ultrasound with Gaussian Blur and Grad”
- LinkedLinked via arxiv author · 85%Navid Zaman →
“AppendiGrade: An XAI-Enhanced Deep Learning Framework for Grading Appendicitis in Ultrasound with Gaussian Blur and Grad”