Leveraging Hybrid Dual-Level Contextual Attention and Spiking Neural Networks for Effective Hepatic Malignancy Diagnosis
George, Shiju, Joseph, Asha, Babu, Raj E., and Shiju, Angel (2025) Leveraging Hybrid Dual-Level Contextual Attention and Spiking Neural Networks for Effective Hepatic Malignancy Diagnosis. In: 16th International Conference on Advances in Computing, Control, and Telecommunication Technologies (2) pp. 14252-14258. From: ACT 2025: 16th International Conference on Advances in Computing, Control, and Telecommunication Technologies, 25-26 June 2026, Hyderbad, India.
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Abstract
Liver cancer remains the leading cause of cancer-related mortality, prompt-ing advanced diagnostic techniques for early detection and accurate classification in the health sector worldwide. Multifaceted deep learning methods have shown significant potential in medical imaging, but challenges exist in capturing intricate contextual information. In our research, we propose a novel hybrid framework that integrates Dual-Level Contextual Attention (DLCA) with Spiking Neural Networks (SNNs) to enhance the diagnosis of liver cancer. The proposed framework uses a DLCA mechanism that effectively extracts both local and global contextual features within the medical images and aids in precise lesion differentiation. The SNNs module supports computational efficiency and robust pattern recognition, enabling precise identification of subtle cancerous patterns by reducing redundant activations while preserving critical diagnostic information. Experimental evaluations on publicly available datasets demonstrate the effectiveness of our work, showcasing its reliability in clinical applications. Moreover, the model offers a direction for future AI-assisted diagnostic tools in medical imaging and oncology.
| Item ID: | 92544 |
|---|---|
| Item Type: | Conference Item (Research - E1) |
| ISBN: | 9798331324711 |
| ISSN: | 2395-5287 |
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| Copyright Information: | Copyright © (2025) by Grenze Scientific Society. All rights reserved. |
| Date Deposited: | 28 Oct 2026 01:31 |
| FoR Codes: | 42 HEALTH SCIENCES > 4203 Health services and systems > 420309 Health management @ 100% |
| SEO Codes: | 20 HEALTH > 2002 Evaluation of health and support services > 200201 Determinants of health @ 100% |
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