Deep Cervix Model Development from Heterogeneous and Partially Labeled Image Datasets. | Front ICT Healthc (2002);519: 679-688, 2023. | MEDLINE

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Latin-American Center for Perinatology, Woman and Reproductive Health

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Deep Cervix Model Development from Heterogeneous and Partially Labeled Image Datasets.

Pal, Anabik; Xue, Zhiyun; Antani, Sameer.

Affiliation

Pal A; SRM University, Amaravati, Guntur District, Andhra Pradesh, India, 522502.
Xue Z; National Library of Medicine, National Institutes of Health, Bethesda, Maryland, 20894, USA.
Antani S; National Library of Medicine, National Institutes of Health, Bethesda, Maryland, 20894, USA.

Front ICT Healthc (2002) ; 519: 679-688, 2023.

Article in En | MEDLINE | ID: mdl-37396668

Key words

Cervix Image Classification; Deep Learning; Federated Learning; Self-supervised Learning

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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Screening_studies Language: En Journal: Front ICT Healthc (2002) Year: 2023 Type: Article

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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies / Screening_studies Language: En Journal: Front ICT Healthc (2002) Year: 2023 Type: Article