Advancements in Image Enhancement and Attention based EfficientDet Optimization Classifier for Precise Osteosarcoma Lung Nodule Detection A Nandhini, M Sengaliappan Salud Ciencia Y Tecnologia Serie De Conferencias, 2024 Introduction: osteosarcoma is a malignant bone tumor that frequently spreads to the lungs, hence therapy effectiveness depends on early identification. However, noise and subtle characteristics still pose a challenge for reliable Lung Nodules Detection (LND) in medical pictures. In earlier work, SSD-VGG16 was implemented to provide a bounding box with an accuracy score that represented a single osteosarcoma nodule. Increasing model complexity is sometimes necessary to achieve improved accuracy with current approaches, which might worsen their computing inefficiencies. Method: for accurate osteosarcoma lung nodule identification, this study offers the hybrid Dynamic Virtual Bats Algorithm with Attention based Efficient Object identification (A- EfficientDet). In order to improve the quality and informativeness of clinical pictures, this study suggests including Chebyshev filtering into the pre-processing pipeline. It focuses on CT scans for the purpose of detecting lung nodules associated with osteosarcoma. Additionally, provide the optimized A-EfficientDet model, a hybrid EfficientDet model improved using the DVBA optimization technique for accurate lung nodule identification. Results: the effectiveness of the suggested strategy in attaining accurate osteosarcoma LND is demonstrated by the experimental findings. Chebyshev filtering is incorporated during the pre-processing step, which leads to more accurate detection findings by improving the signal-to-noise ratio (SNR) and lung nodule visibility. Conclusion: additionally, the improved EfficientDet model demonstrates its suitability for clinical applications in early osteosarcoma detection and treatment monitoring by achieving (SOTA) State-Of-The-Art execution by the metrics of sensitivity, specificity, and F1 score
RECENT SCHOLAR PUBLICATIONS
IMPROVED ATTENTION-BASED MBCONVBLOCK-EFFICIENTDET NETWORK BASED CUCKOO SEARCH ALGORITHM FOR OSTEOSARCOMA NODULE DETECTION ENHANCEMENT. A Nandhini, M Sengaliappan ICTACT Journal on Image & Video Processing 15 (3) , 2025 2025
Advancements in Image Enhancement and Attention based efficientdet Optimization Classifier for Precise Osteosarcoma Lung Nodule Detection A Nandhini, M Sengaliappan Salud, Ciencia y Tecnología-Serie de Conferencias 3, 936 , 2024 2024 Citations: 1
MOST CITED SCHOLAR PUBLICATIONS
Advancements in Image Enhancement and Attention based efficientdet Optimization Classifier for Precise Osteosarcoma Lung Nodule Detection A Nandhini, M Sengaliappan Salud, Ciencia y Tecnología-Serie de Conferencias 3, 936 , 2024 2024 Citations: 1
IMPROVED ATTENTION-BASED MBCONVBLOCK-EFFICIENTDET NETWORK BASED CUCKOO SEARCH ALGORITHM FOR OSTEOSARCOMA NODULE DETECTION ENHANCEMENT. A Nandhini, M Sengaliappan ICTACT Journal on Image & Video Processing 15 (3) , 2025 2025
