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...
Saved in:
Main Authors: | Michaela Unger (Author), Jakob Nikolas Kather (Author) |
---|---|
Format: | Book |
Published: |
BMC,
2024-02-01T00:00:00Z.
|
Subjects: | |
Online Access: | Connect to this object online. |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Precision Genomic Practice in Oncology: Pharmacist Role and Experience in an Ambulatory Care Clinic
by: Farah Raheem, et al.
Published: (2020) -
Deep learning in precision medicine and focus on glioma
by: Yihao Liu, et al.
Published: (2023) -
Deep Machine Learning for Oral Cancer: From Precise Diagnosis to Precision Medicine
by: Rasheed Omobolaji Alabi, et al.
Published: (2022) -
Heterogeneity in precision oncology
by: Bartłomiej Tomasik, et al.
Published: (2024) -
Precision Medicine in Oncology
by: Andrea Lunardi
Published: (2019)