Recent developments in cervical cancer diagnosis using deep learning on whole slide images: An Overview of models, techniques, challenges and future directions.

Sambyal, Diksha; Sarwar, Abid

Sambyal, Diksha; Sarwar, Abid.

Affiliation

Sambyal D; Department of CS&IT, University of Jammu, India.
Sarwar A; Department of CS&IT, University of Jammu, India. Electronic address: sarwar.aabid@gmail.com.

Micron ; 173: 103520, 2023 10.

Article in En | MEDLINE | ID: mdl-37556898

Subject(s)

Deep Learning; Uterine Cervical Neoplasms; Female; Humans; Uterine Cervical Neoplasms/diagnosis; Algorithms; Image Interpretation, Computer-Assisted/methods

Key words

Automatic classification methods; Cervical cancer; Deep learning; Whole-slide images

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Uterine Cervical Neoplasms / Deep Learning Type of study: Diagnostic_studies / Prognostic_studies Limits: Female / Humans Language: En Journal: Micron Journal subject: DIAGNOSTICO POR IMAGEM Year: 2023 Document type: Article Affiliation country: India Country of publication: United kingdom

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