Publication2023
Improved Breast Cancer Detection from Ultrasound Images Using YOLOv8 Model
- Good Health and Well-being
- Industry, Innovation and Infrastructure
- Empowered Indians
The record
- Type
- Publication
- Date
- 1 January 2023
- Level
- National
- Journal
- 2023 IEEE 3rd International Conference on Applied Electromagnetics Signal Processing and Communication Aespc 2023
- Published
- 1 January 2023
- DOI
- 10.1109/aespc59761.2023.10390341
- Scopus ID
- 85184850238
- Authors
- 4
- Open access
- No
- Citations
- 13
- 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 model using YOLOv8 for breast cancer detection from ultrasound images demonstrates AI-assisted diagnostic advancement for cancer identification.
- 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
9.5 Enhance scientific research, upgrade technological capabilities, and increase researchers and R&D spending
Novel deep learning architecture adapted for medical imaging represents research innovation in machine learning methodology and computer vision technology.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-1 Empowered Indians
Derived through the seeded SDG-to-Viksit-Bharat crosswalk from the primary SDG 3 label. Deep learning model using YOLOv8 for breast cancer detection from ultrasound images demonstrates AI-assisted diagnostic advancement for cancer identification.
- 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. “Improved Breast Cancer Detection from Ultrasound Images Using YOLOv8 Model”. Kortex.