Capsule Damage Detection

Capsule Damage Detection is a computational method that identifies structural or surface-level anomalies in pharmaceutical capsules through image-based analysis, distinguishing itself from general quality inspection techniques by focusing specifically on localized defects such as cracks, dents, or deformations indicative of physical compromise.

10

Publications

360

Citations

36

Authors

17

Institutions

Publications per year

2017–2026

3

Authors

36

  1. NP
    Niall Patton

    Manchester Royal Eye Hospital, United Kingdom

    2 publications · 35 citations

    2

    h-index

  2. TA
    Tariq Aslam

    University of Manchester, United Kingdom

    2 publications · 35 citations

    2

    h-index

  3. GD
    George D. Sergiadis

    Aristotle University of Thessaloniki, Greece

    1 publications · 51 citations

    1

    h-index

  4. AA
    Abdelkaher Ait Abdelouahed

    Université Ibn Zohr, Morocco

    1 publications · 59 citations

    1

    h-index

  5. CM
    Christos Mavrogiannis

    General-Maternity District Hospital Helena Venizelou, Greece

    1 publications · 51 citations

    1

    h-index

1–5 of 36

Venues

  1. BMC Ophthalmology

    2 publications · 35 citations

    2

    h-index

  2. 1

    h-index

  3. Acta Ophthalmologica

    1 publications · 55 citations

    1

    h-index

  4. ACS Applied Materials & Interfaces

    1 publications · 66 citations

    1

    h-index

  5. Applied Soft Computing

    1 publications · 24 citations

    1

    h-index

1–5