Cargando…
A deep hybrid learning pipeline for accurate diagnosis of ovarian cancer based on nuclear morphology
Nuclear morphological features are potent determining factors for clinical diagnostic approaches adopted by pathologists to analyze the malignant potential of cancer cells. Considering the structural alteration of the nucleus in cancer cells, various groups have developed machine learning techniques...
| Autores principales: | , , , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2022
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8741040/ https://www.ncbi.nlm.nih.gov/pubmed/34995293 http://dx.doi.org/10.1371/journal.pone.0261181 |