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
Parents
509
Adaptive local thresholding for detection of nuclei in diversity stained cytology images
Neerad Phansalkar, Sumit More, Ashish Sabale et al. · 2011 · 300 citations
1–5 of 509
1.8K
University of Pittsburgh Medical Center, United States
8 publications · 356 citations
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705
National Cancer Institute
Bethesda, United States
9 h-index
26 publications
1.1K citations

Jadavpur University
Kolkata, India
8 h-index
18 publications
1.5K citations

Lawrence Berkeley National Laboratory
Berkeley, United States
8 h-index
14 publications
770 citations
National Institutes of Health
Bethesda, United States
8 h-index
27 publications
950 citations
University of California, Berkeley
Berkeley, United States
7 h-index
15 publications
901 citations
University of Pittsburgh Medical Center
Pittsburgh, United States
7 h-index
13 publications
632 citations
Leiden University
Leiden, The Netherlands
7 h-index
16 publications
331 citations

The University of Queensland
Brisbane, Australia
7 h-index
12 publications
829 citations
1–8 of 705
Repository · 42 publications · 943 citations
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26 publications · 955 citations
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12 publications · 884 citations
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10 publications · 893 citations
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8 publications · 202 citations
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