Diagnosis of Central Canal Spinal Stenosis from Lumbar Mid-sagittal MR Images A Beulah, T. Sree Sharmila, V. K. Pramod Proceedings 3rd International Conference on Advances in Computing Communication and Applied Informatics Accai 2024, 2024 Central canal spinal stenosis is a significant ailment that impacts the spinal cord of humans. The current automated diagnostic methods for spinal stenosis are unable to diagnose minor abnormalities that may be present in the spinal cord. This paper introduces a novel approach for diagnosing central canal spinal stenosis from T2-weighted lumbar Magnetic Resonance (MR) images captured in the sagittal plane. A segmentation algorithm based on morphology is implemented for segmenting the spinal cord. After segmenting the image, the spinal cord’s skeleton is extracted, and overlapping sub-images are generated. The hybrid of statistical texture features and a novel Spinal Cord Projection Descriptor (SCPD) are extracted for all subimages. Using these features, a k-Nearest Neighbors (k-NN) classifier is trained and a model is constructed. Upon receiving a new test image, the system undergoes these processes to generate features. The features are then utilized by the model to classify the sub-image as either stenosis or non-stenosis. To evaluate the effectiveness of the model, a k-fold validation technique is employed. The constructed model has demonstrated an improved performance in accurately identifying the stenosis region and non-stenosis region, achieving an accuracy rate of 95.19%. The experiments conducted illustrate that the proposed stenosis diagnostic system outperforms existing methods in terms of its effectiveness and accuracy. This study provides promising results for the development of an effective automated diagnostic system for central canal stenosis, which could be of significant benefit to medical professionals and patients. Further research could focus on validating the proposed approach on larger datasets and integrating it into clinical practice.
Home Security System for the Hearing Impaired Talapala Sneha, Ssneha Balasubramanian, Vaishali R, Jay Vishaal J, Beulah A, et al. 2021 5th International Conference on Computer Communication and Signal Processing Icccsp 2021, 2021
Lumbar Spinal Stenosis Detection from Sagittal and Axial MR Images using Hybrid of Deep Kronecker Network and SpinalNet A Beulah European Spine Journal, 1-20 , 2025 2025
MediaEval 2025: A Multimodal Approach for Predicting Movie and Commercial Memorability using Stacking and Gradient Boosting SMT Mariappan, M Ramasamy, B Arul 2025
An EfficientNet Framework: Methods and Results for Synthetic Image Detection and Manipulation Localization SMT Mariappan, M Ramasamy, B Arul 2025
Comparing CLIP-Based Image Retrieval and Stable Diffusion Turbo for News Article Thumbnails SMT Mariappan, M Ramasamy, B Arul 2025
RECAIDSTechTitans at CLEF 2025: Simplifying Scientific Text and Identifying Spurious Sentences using T5 E Stergio, A Beulah, V Sathvikha, V Sangamithra Conference and Labs of the Evaluation Forum (CLEF 2025) 4038 , 2025 2025
REC_Cryptix at JOKER CLEF 2025: Teaching Machines to Laugh: Multilingual Humor Detection and Translation P Sarath Kumar, A Beulah, M Sushmitha, S Thanalaxmi Conference and Labs of the Evaluation Forum (CLEF 2025) 4038 , 2025 2025
ImageCLEF-Medical 2025: MedCLIP Model for Medical Caption Prediction and Concept Detection SMT Mariappan, B Arul, M Ramasamy 2025
Multi Disease Diagnostic Analysis for Chest X-Ray Images with Explainable AI R Priyadharsini, A Beulah, HP Prithika Priyadharshini, SB Rudrashree Communications on Applied Nonlinear Analysis 32 (10) , 2025 2025
AirStrum: A virtual guitar using real-time hand gesture recognition and strumming technique. A Beulah, Shashank, Panda, N Tushar Romanian Journal of Information Technology & Automatic Control/Revista … , 2024 2024
Diagnosis of central canal spinal stenosis from lumbar mid-sagittal mr images A Beulah, TS Sharmila, VK Pramod 2024 International Conference on Advances in Computing, Communication and … , 2024 2024 Citations: 1
Cell classification in microscopic images for anemia detection P RAVISANKAR, A Beulah, S ELANGO Romanian Journal of Information Technology and Automatic Control 34 (1), 7-12 , 2024 2024 Citations: 1
Java code obfuscator to prevent reverse engineering of android application H Parandaman, B Arul, L Dinakaran AIP Conference Proceedings 2790 (1), 020004 , 2023 2023 Citations: 1
Degenerative disc disease diagnosis from lumbar MR images using hybrid features A Beulah, TS Sharmila, VK Pramod The Visual Computer 38 (8), 2771-2783 , 2022 2022 Citations: 22
Identification of Sickle Cells in Erythrocytes Images Using Shape L Yaminia, R Priyadharsinib, A Beulahc Smart Intelligent Computing and Communication Technology 38, 20 , 2021 2021
Optimized image edge detection approach using fractional order calculus SK Srinithyee, E Srivarsha 2021 6th International Conference on Communication and Electronics Systems … , 2021 2021 Citations: 5
Detection of electronic devices in real images using deep learning techniques G Krijeshan, P Raghul, NN Nachiappan 2021 5th International Conference on Computer, Communication and Signal … , 2021 2021 Citations: 6
Home security system for the hearing impaired T Sneha, S Balasubramanian, SA Deborah 2021 5th International Conference on Computer, Communication and Signal … , 2021 2021 Citations: 6
Spinal cord segmentation in lumbar mr images A Beulah, T Sree Sharmila, T Kanmani International Conference on Emerging Current Trends in Computing and Expert … , 2019 2019 Citations: 5
Disc bulge diagnostic model in axial lumbar MR images using Intervertebral disc Descriptor (IdD) A Beulah, TS Sharmila, VK Pramod Multimedia Tools and Applications 77 (20), 27215-27230 , 2018 2018 Citations: 26
Optic disc and cup segmentation in fundus retinal images using feature detection and morphological techniques R Priyadharsini, A Beulah, TS Sharmila Current science 115 (4), 752 , 2018 2018 Citations: 16
MOST CITED SCHOLAR PUBLICATIONS
Disc bulge diagnostic model in axial lumbar MR images using Intervertebral disc Descriptor (IdD) A Beulah, TS Sharmila, VK Pramod Multimedia Tools and Applications 77 (20), 27215-27230 , 2018 2018 Citations: 26
Degenerative disc disease diagnosis from lumbar MR images using hybrid features A Beulah, TS Sharmila, VK Pramod The Visual Computer 38 (8), 2771-2783 , 2022 2022 Citations: 22
Optic disc and cup segmentation in fundus retinal images using feature detection and morphological techniques R Priyadharsini, A Beulah, TS Sharmila Current science 115 (4), 752 , 2018 2018 Citations: 16
Detection of electronic devices in real images using deep learning techniques G Krijeshan, P Raghul, NN Nachiappan 2021 5th International Conference on Computer, Communication and Signal … , 2021 2021 Citations: 6
Home security system for the hearing impaired T Sneha, S Balasubramanian, SA Deborah 2021 5th International Conference on Computer, Communication and Signal … , 2021 2021 Citations: 6
Classification of intervertebral disc on lumbar MR images using SVM A Beulah, TS Sharmila 2016 2nd international conference on applied and theoretical computing and … , 2016 2016 Citations: 6
Optimized image edge detection approach using fractional order calculus SK Srinithyee, E Srivarsha 2021 6th International Conference on Communication and Electronics Systems … , 2021 2021 Citations: 5
Spinal cord segmentation in lumbar mr images A Beulah, T Sree Sharmila, T Kanmani International Conference on Emerging Current Trends in Computing and Expert … , 2019 2019 Citations: 5
EM algorithm based intervertebral disc segmentation on MR images A Beulah, TS Sharmila 2017 International Conference on Computer, Communication and Signal … , 2017 2017 Citations: 5
Lumbar spine classification using pyramidal histogram of oriented gradients A Beulah, BK Divya Bharathi Indian Journal of Science and Technology 9 (32), 1-5 , 2016 2016 Citations: 2
Diagnosis of central canal spinal stenosis from lumbar mid-sagittal mr images A Beulah, TS Sharmila, VK Pramod 2024 International Conference on Advances in Computing, Communication and … , 2024 2024 Citations: 1
Cell classification in microscopic images for anemia detection P RAVISANKAR, A Beulah, S ELANGO Romanian Journal of Information Technology and Automatic Control 34 (1), 7-12 , 2024 2024 Citations: 1
Java code obfuscator to prevent reverse engineering of android application H Parandaman, B Arul, L Dinakaran AIP Conference Proceedings 2790 (1), 020004 , 2023 2023 Citations: 1
Lumbar Spinal Stenosis Detection from Sagittal and Axial MR Images using Hybrid of Deep Kronecker Network and SpinalNet A Beulah European Spine Journal, 1-20 , 2025 2025
MediaEval 2025: A Multimodal Approach for Predicting Movie and Commercial Memorability using Stacking and Gradient Boosting SMT Mariappan, M Ramasamy, B Arul 2025
An EfficientNet Framework: Methods and Results for Synthetic Image Detection and Manipulation Localization SMT Mariappan, M Ramasamy, B Arul 2025
Comparing CLIP-Based Image Retrieval and Stable Diffusion Turbo for News Article Thumbnails SMT Mariappan, M Ramasamy, B Arul 2025
RECAIDSTechTitans at CLEF 2025: Simplifying Scientific Text and Identifying Spurious Sentences using T5 E Stergio, A Beulah, V Sathvikha, V Sangamithra Conference and Labs of the Evaluation Forum (CLEF 2025) 4038 , 2025 2025
REC_Cryptix at JOKER CLEF 2025: Teaching Machines to Laugh: Multilingual Humor Detection and Translation P Sarath Kumar, A Beulah, M Sushmitha, S Thanalaxmi Conference and Labs of the Evaluation Forum (CLEF 2025) 4038 , 2025 2025
ImageCLEF-Medical 2025: MedCLIP Model for Medical Caption Prediction and Concept Detection SMT Mariappan, B Arul, M Ramasamy 2025