Sparse Autoencoder for Unsupervised Nucleus Detection and Representation in Histopathology Images.

Hou, Le; Nguyen, Vu; Kanevsky, Ariel B; Samaras, Dimitris; Kurc, Tahsin M; Zhao, Tianhao; Gupta, Rajarsi R; Gao, Yi; Chen, Wenjin; Foran, David; Saltz, Joel H

Hou, Le; Nguyen, Vu; Kanevsky, Ariel B; Samaras, Dimitris; Kurc, Tahsin M; Zhao, Tianhao; Gupta, Rajarsi R; Gao, Yi; Chen, Wenjin; Foran, David; Saltz, Joel H.

Afiliación

Hou L; Dept. of Computer Science, Stony Brook University, Stony Brook, NY, USA.
Nguyen V; Dept. of Computer Science, Stony Brook University, Stony Brook, NY, USA.
Kanevsky AB; Dept. of Computer Science, Stony Brook University, Stony Brook, NY, USA.
Samaras D; Montreal Institute for Learning Algorithms, University of Montreal, Montreal, Canada.
Kurc TM; Dept. of Computer Science, Stony Brook University, Stony Brook, NY, USA.
Zhao T; Dept. of Computer Science, Stony Brook University, Stony Brook, NY, USA.
Gupta RR; Dept. of Biomedical Informatics, Stony Brook University, Stony Brook, NY, USA.
Gao Y; Oak Ridge National Laboratory, Oak Ridge, TN, USA.
Chen W; Dept. of Biomedical Informatics, Stony Brook University, Stony Brook, NY, USA.
Foran D; Dept. of Pathology, Stony Brook University Medical Center, Stony Brook, NY, USA.
Saltz JH; Dept. of Biomedical Informatics, Stony Brook University, Stony Brook, NY, USA.

Pattern Recognit ; 86: 188-200, 2019 Feb.

Article en En | MEDLINE | ID: mdl-30631215

Palabras clave

convolutional neural network; pathology image analysis; semi-supervised learning; unsupervised learning

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies Idioma: En Revista: Pattern Recognit Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido

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