Publication2025
Preprocessing and frame level classification framework for cardiac phase detection in 2D echocardiography
The record
- Type
- Publication
- Date
- 1 September 2025
- Level
- National
- Journal
- Biomedical Signal Processing and Control
- Volume
- 107
- Published
- 1 September 2025
- DOI
- 10.1016/j.bspc.2025.107803
- Scopus ID
- 86000635477
- ISSN
- 17468094
- Authors
- 4
- Open access
- No
- Citations
- 5
- International co-authorship
- No
- Co-author countries
- IN
Classification
Every label below carries the reasoning it was assigned on, the confidence band it was assigned in, and what produced it. The rubric is published.
UN Sustainable Development Goals
3.4 Reduce premature mortality from non-communicable diseases and promote mental health and well-being
Deep learning framework for automated cardiac phase detection in echocardiographic images supporting heart function assessment.
- High confidence
- The subject matter is a strong and direct inference from the record type, the funding or organising body, or the programme context, even where the title alone is thin. Example: an ICMR-funded project against SDG 3, on the strength of the agency.
- Judged
- Judged against the published classification rubric, under the rubric and prompt versions recorded with the run that produced it.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-3.2 Digital technology and artificial intelligence
Artificial intelligence for cardiac health monitoring and diagnosis using bidirectional LSTM network architecture.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Each label above carries the instrument and the version that produced it. How each classification is reached.
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- 1
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Citing this record
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KIIT Deemed to be University. “Preprocessing and frame level classification framework for cardiac phase detection in 2D echocardiography”. Kortex.