A Study on the Automated Multiclass & Binary Classification Of
Premalignant Cervical Cells in Pap Smear Images Using Support
Vector Machine

Author(s)

Edema, Tobore

Title

A Study on the Automated Multiclass & Binary Classification Of
Premalignant Cervical Cells in Pap Smear Images Using Support
Vector Machine

Date

2021

Publisher

Old Westbury, N.Y. : New York Institute of Technology, 2020

Subject

Cervix uteri -- Cancer -- Diagnosis.
Pap test.

Language

English

Source

New York Institute of Technology, 2020

Format

PDF

Type

Thesis (M.S.)--New York Institute of Technology, 2020

Identifier

https://repository.nyitlibrary.org/files/original/8e61f0515c1a0a17a8ec1abc8a3d177e.pdf

School

School of Engineering & Computing Sciences

Department

Department of Bioengineering

Files

A Study on the Automated Multiclass & Binary Classification Of<br /> Premalignant Cervical Cells in Pap Smear Images Using Support<br /> Vector Machine

Citation

Edema, Tobore, A Study on the Automated Multiclass & Binary Classification Of
Premalignant Cervical Cells in Pap Smear Images Using Support
Vector Machine. New York Institute of Technology, 2020, New York Tech Institutional Repository, accessed October 10, 2026, https://repository.nyitlibrary.org/items/show/2891

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