Skip to content
by IQAC KIITKIIT Deemed to be University — Internal Quality Assurance Cell

Publication2024

A Fuzzified Euclidean Framework for Accurate Cervical Cancer Cell Segmentation and Nuclei Detection

The record

Type
Publication
Date
1 January 2024
Level
National
Journal
2024 IEEE 4th International Conference on Applied Electromagnetics Signal Processing and Communication Aespc 2024
Published
1 January 2024
DOI
10.1109/aespc63931.2024.10872286
Scopus ID
85219599746
Authors
3
Open access
No
Citations
1
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

  1. 3.4 Reduce premature mortality from non-communicable diseases and promote mental health and well-being

    TargetPrimaryHigh confidenceJudged

    Fuzzy logic and image segmentation method achieves 93.75% accuracy for cervical nuclei detection, enabling early cervical cancer diagnosis and prevention.

    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

  1. vb-1.2 Health and well-being

    Sub-themePrimaryHigh confidenceJudged

    Cancer screening technology advancement improves non-communicable disease early detection.

    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.

Evidence

Kortex hosts no documents. Evidence is an outbound link to the authority that holds it.

No outbound evidence link is recorded for this activity. The record below states which source it came from and when it was last read.

Provenance

Which source system this record came from, how many source rows were resolved into it, and when each was last read.

Source rows resolved into this record
1

Each record carries the date Kortex last read it from its source system. That is a freshness date and not a verification: Kortex records what its sources say and when it read them, and it does not check those statements against any external authority. No claim on this site is described as verified, because none is.

Citing this record

This URL is stable. A record’s permalink is frozen when it is published and is not regenerated if its title is later corrected.

KIIT Deemed to be University. “A Fuzzified Euclidean Framework for Accurate Cervical Cancer Cell Segmentation and Nuclei Detection”. Kortex.

Explore the full record