Semantic segmentation of low magnification effusion cytology images: A semi-supervised approach.

Aboobacker, Shajahan; Vijayasenan, Deepu; S, Sumam David; Suresh, Pooja K; Sreeram, Saraswathy

Aboobacker, Shajahan; Vijayasenan, Deepu; S, Sumam David; Suresh, Pooja K; Sreeram, Saraswathy.

Afiliação

Aboobacker S; Department of Electronics and Communication Engineering, National Institute of Technology Karnataka, Surathkal, 575025, Karnataka, India. Electronic address: shajahan.187ec012@nitk.edu.in.
Vijayasenan D; Department of Electronics and Communication Engineering, National Institute of Technology Karnataka, Surathkal, 575025, Karnataka, India.
S SD; Department of Electronics and Communication Engineering, National Institute of Technology Karnataka, Surathkal, 575025, Karnataka, India.
Suresh PK; Department of Pathology, Kasturba Medical College Mangalore, Manipal Academy of Higher Education, Manipal, 575001, Karnataka, India.
Sreeram S; Department of Pathology, Kasturba Medical College Mangalore, Manipal Academy of Higher Education, Manipal, 575001, Karnataka, India.

Comput Biol Med ; 150: 106179, 2022 11.

Article em En | MEDLINE | ID: mdl-36252367

Assuntos

Neoplasias; Semântica; Humanos; Técnicas Citológicas; Algoritmos; Aprendizado de Máquina Supervisionado; Processamento de Imagem Assistida por Computador

Palavras-chave

Cytology; Deep learning; Digital pathology; Semantic segmentation; Semi-supervised learning

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Texto completo: 1 Bases de dados: MEDLINE Assunto principal: Semântica / Neoplasias Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Comput Biol Med Ano de publicação: 2022 Tipo de documento: Article

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