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Citation notice #10595 · 2026-08-17 00:18:01.150927+00:00

Hybrid Dense-UNet201 Optimization for Pap Smear Image Segmentation Using Spider Monkey Optimization

Retraction Retraction Watch Open

cites Kavitha et al., ‘Ant colony optimization -enabled CNN deep learning technique for accurate detection of cervical cancer’, Biomed Res Int, vol, which carries a retraction notice . One-hop deterministic notice: the citation edge exists in the Pith bibliography graph; no model judged whether the citation was load-bearing.

This is not a judgment on the citing paper.

Citing paper Event page Original DOI Notice DOI File a formal challenge All reference changes

01Evidence

Raw extraction · bibliography line · bibliography index 7

R. Kavitha et al., ‘Ant colony optimization -enabled CNN deep learning technique for accurate detection of cervical cancer’, Biomed Res Int, vol. 2023, 2023, doi: 10.1155/2023/1742891

02Event

Type
Retraction
Source
Retraction Watch
Original DOI
10.1155/2023/1742891
Notice DOI
10.1155/2024/9878397
Date
-
Title
Ant Colony Optimization-Enabled CNN Deep Learning Technique for Accurate Detection of Cervical Cancer
Reasons
['Concerns/Issues about Data', 'Concerns/Issues about Results and/or Conclusions', 'Concerns/Issues about Referencing/Attributions', 'Concerns/Issues about Peer Review', 'Investigation by Journal/Publisher', 'Investigation by Third Party', 'Paper Mill', 'Computer-Aided Content or Computer-Generated Content', 'Unreliable Results and/or Conclusions']
Work
Kavitha et al., ‘Ant colony optimization -enabled CNN deep learning technique for accurate detection of cervical cancer’, Biomed Res Int, vol (2023)

Schema constants (for re-runners): retraction · retraction_watch

03Dispute this notice

If this citation does not depend on the flagged claim, or the event is wrong, say so. Disputes are public. For a signed challenge against the paper itself, use the formal challenge form.