Histology segmentation using active learning on regions of interest in oral cavity squamous cell carcinoma | Zendy

Jonathan Folmsbee | Zendy; Lei Zhang | Zendy; Xulei Lu | Zendy; Jawaria Rahman | Zendy; John A. Gentry | Zendy; Brendan Conn | Zendy; Marilena Vered | Zendy; Paromita Roy | Zendy; Ruta Gupta | Zendy; Diana Lin | Zendy; Shabnam Samankan | Zendy; Pooja Dhorajiva | Zendy; Anu Peter | Zendy; Minhua Wang | Zendy; Anna Israel | Zendy; Margaret BrandweinWeber | Zendy; Scott Doyle | Zendy

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Histology segmentation using active learning on regions of interest in oral cavity squamous cell carcinoma

Author(s) -

Jonathan Folmsbee,

Lei Zhang,

Xulei Lu,

Jawaria Rahman,

John A. Gentry,

Brendan Conn,

Marilena Vered,

Paromita Roy,

Ruta Gupta,

Diana Lin,

Shabnam Samankan,

Pooja Dhorajiva,

Anu Peter,

Minhua Wang,

Anna Israel,

Margaret BrandweinWeber,

Scott Doyle

Publication year - 2022

Publication title -

journal of pathology informatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.009

H-Index - 17

ISSN - 2153-3539

DOI - 10.1016/j.jpi.2022.100146

Subject(s) - computer science , digital pathology , segmentation , artificial intelligence , dice , classifier (uml) , sørensen–dice coefficient , region of interest , grading (engineering) , pattern recognition (psychology) , pixel , discriminative model , machine learning , image segmentation , mathematics , statistics , civil engineering , engineering

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