Computer-aided Cytology

Computer-Aided Cytology is a computational methodology in diagnostic cytopathology that employs automated image analysis and pattern recognition algorithms to assist in the detection and classification of abnormal cervical cells from Pap smear samples.

509

Publications

23.1K

Citations

1.8K

Authors

705

Institutions

Publications per year

2017–2026

221

Authors

1.8K

  1. LP
    Liron Pantanowitz

    University of Pittsburgh Medical Center, United States

    8 publications · 356 citations

    8

    h-index

  2. BP
    Bartels Ph

    Ospedali Riuniti di Ancona, Italy

    8 publications · 124 citations

    8

    h-index

  3. NA
    Nor Ashidi Mat Isa

    Universiti Sains Malaysia, Malaysia

    8 publications · 184 citations

    8

    h-index

  4. WG
    Wied Gl

    University of Illinois Chicago, United States

    8 publications · 124 citations

    8

    h-index

  5. EB
    Ewert Bengtsson

    Uppsala University, Sweden

    7 publications · 151 citations

    7

    h-index

1–5 of 1.8K

Venues

  1. PubMed

    Repository · 42 publications · 943 citations

    19

    h-index

  2. Journal of Histochemistry & Cytochemistry

    26 publications · 955 citations

    17

    h-index

  3. IEEE Access

    12 publications · 884 citations

    12

    h-index

  4. Computers in Biology and Medicine

    10 publications · 893 citations

    10

    h-index

  5. Acta Cytologica

    8 publications · 202 citations

    8

    h-index

1–5