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Effects of Image Quantity and Image Source Variation on Machine Learning Histology Differential Diagnosis Models
AIMS: Histology, the microscopic study of normal tissues, is a crucial element of most medical curricula. Learning tools focused on histology are very important to learners who seek diagnostic competency within this important diagnostic arena. Recent developments in machine learning (ML) suggest tha...
Autores principales: | Vali-Betts, Elham, Krause, Kevin J., Dubrovsky, Alanna, Olson, Kristin, Graff, John Paul, Mitra, Anupam, Datta-Mitra, Ananya, Beck, Kenneth, Tsirigos, Aristotelis, Loomis, Cynthia, Neto, Antonio Galvao, Adler, Esther, Rashidi, Hooman H. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer - Medknow
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8112343/ https://www.ncbi.nlm.nih.gov/pubmed/34012709 http://dx.doi.org/10.4103/jpi.jpi_69_20 |
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