Abstract
This paper presents a generic multi-modal medical data representation model, based on utilizing the knowledge from the abundance of medical data in the publicly available medical imaging databases. Using novel deep learning techniques, this paper proposes an AI model that is technically capable of capturing characteristics of complex health conditions. The findings from this work based on extensive experimental work allows the development of robust and automatic detection of gliomas, an aggressive form of brain tumors. This model can provide significant benefits to the wide medical AI community and stimulate development and benefit universal health care in the long term.
| Original language | English |
|---|---|
| Title of host publication | Advances in IoT and Security with Computational Intelligence - Proceedings of ICAISA 2023 |
| Editors | Anurag Mishra, Deepak Gupta, Girija Chetty |
| Place of Publication | Netherlands |
| Publisher | Springer |
| Pages | 385-394 |
| Number of pages | 10 |
| Volume | 2 |
| ISBN (Print) | 9789819950874 |
| DOIs | |
| Publication status | Published - 2023 |
| Event | International Conference on Advances in IoT, Security with AI, ICAISA 2023 - New Delhi, India Duration: 24 Mar 2023 → 25 Mar 2023 |
Publication series
| Name | Lecture Notes in Networks and Systems |
|---|---|
| Volume | 756 LNNS |
| ISSN (Print) | 2367-3370 |
| ISSN (Electronic) | 2367-3389 |
Conference
| Conference | International Conference on Advances in IoT, Security with AI, ICAISA 2023 |
|---|---|
| Country/Territory | India |
| City | New Delhi |
| Period | 24/03/23 → 25/03/23 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
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