A systematic analysis of deep learning in genomics and histopathology for precision oncology
Abstract Background Digitized histopathological tissue slides and genomics profiling data are available for many patients with solid tumors. In the last 5 years, Deep Learning (DL) has been broadly used to extract clinically actionable information and biological knowledge from pathology slides and g...
Main Authors: | , |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2024-02-01
|
Series: | BMC Medical Genomics |
Subjects: | |
Online Access: | https://doi.org/10.1186/s12920-024-01796-9 |