Bhargavi, Yarlagadda Amrutha and Sruthi, Kanisetty and Sandhya, Guttula Sri Naga (2025) Thyroid Disease Classification using Hybrid CNN-BiLSTM Models: A Comparative Study with and Without Attention Mechanism. In: Proceedings of the 4th International Conference on Information Technology, Civil Innovation, Science, and Management, ICITSM 2025, 28-29 April 2025, Tiruchengode, Tamil Nadu, India, Part I.
![[thumbnail of 79483.pdf]](http://eprints.eai.eu/style/images/fileicons/application_pdf.png "79483.pdf")
PDF
79483.pdf
Download (523kB)
Abstract
The tissue is the most frequently involved endocrine organ and therefore it requires an accurate and early detection for the treatment and management. Such diagnosis methods, while formally being a set of biochemical analyses and physical examinations, are subjective and rely on repetitive tests and
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Date Deposited: | 04 Mar 2026 20:18 |
| Last Modified: | 16 Apr 2026 15:56 |
| URI: | http://eprints.eai.eu/id/eprint/60129 |
Actions (login required)
- View Item