Editorial: Interpretable and explainable machine learning models in oncology Editorial
| Authors: | Hrinivich, W. T.; Wang, T.; Wang, C. |
| Title: | Editorial: Interpretable and explainable machine learning models in oncology |
| Keywords: | human tissue; histopathology; liver cell carcinoma; nuclear magnetic resonance imaging; radiotherapy; cancer screening; editorial; oncology; ultrasound; prostate biopsy; stereotactic body radiation therapy; transrectal ultrasonography; mri; heart rate; machine learning; outcome prediction; human; deep learning; explainable deep learning; explainable machine learning |
| Journal Title: | Frontiers in Oncology |
| Volume: | 13 |
| ISSN: | 2234-943X |
| Publisher: | Frontiers Media S.A. |
| Date Published: | 2023-03-22 |
| Start Page: | 1184428 |
| Language: | English |
| DOI: | 10.3389/fonc.2023.1184428 |
| PROVIDER: | scopus |
| PMCID: | PMC10075249 |
| PUBMED: | 37035194 |
| DOI/URL: | |
| Notes: | Editorial -- Export Date: 1 May 2023 -- Source: Scopus |
