DeepVision: An Interpretable Multi-Task Framework for Comprehensive Bone Fracture Diagnosis Using ResNet, DenseNet, YOLOv8, and Grad-CAM++

International Journal of Innovative Research in Technology 2026 Open access

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Authors: para rajesh, P Sushanth Chakravarthy, Neha Sheetal Kodakandla, B Siddhu, T Manoj Kumar
DOI: 10.64643/ijirtv12i8-191903-459
Cited by: 0

Abstract

Explore the article titled DeepVision: An Interpretable Multi-Task Framework for Comprehensive Bone Fracture Diagnosis Using ResNet, DenseNet, YOLOv8, and Grad-CAM++ from IJIRT Volume 12, Issue 8. This study evaluates the effectiveness of teaching programs on waste management knowledge among women.

Fields of Study & Subjects

Medical Imaging and Analysis Advanced Neural Network Applications Bone health and osteoporosis research

Publication details

Journal / source
International Journal of Innovative Research in Technology
Volume
12
Issue
8
Publication date
27 January 2026
Language
EN