Sparse coding of pathology slides compared to transfer learning with deep neural networks - Fischer, Will; Moudgalya, Sanketh S.; Cohn, Judith D.; Nguyen, Nga T. T.; Kenyon, Garrett T. (BMC bioinformatics, 2018)
Keywords: Algorithms; Artificial intelligence; Artificial neural networks; BASIC BIOLOGICAL SCIENCES; Biochemistry & Molecular Biology; Bioinformatics; Biomedical and Life Sciences; Biotechnology & Applied Microbiology; Cancer; Cancer pathology slides; Care and treatment; Classification; Coding; Computational Biology/Bioinformatics; Computer Appl. in Life Sciences; Deep learning; Deep Learning - trends; Diagnosis; Dictionaries; Error reduction; Feature maps; Gene expression; Histopathology; Humans; Image classification; Image reconstruction; International conferences; Learning algorithms; Life Sciences; Locally Competitive Algorithm; Machine learning; Mathematical & Computational Biology; Medical diagnosis; Medical imaging; Microarrays; Neoplasms - pathology; Neural networks; Neural Networks (Computer); Pathological histology; Pathology; Phase transitions; Representations; Software; Sparse coding; State of the art; TCGA; Transfer learning; Tumors; Unsupervised learning; Locally Competitive Algorithm; Deep learning; Transfer learning; Cancer pathology slides; Sparse coding; TCGA; Unsupervised learning