Deep learning models (DLMs) are applied across domains of health sciences to generate meaningful predictions. DLMs make use of neural networks to generate predictions from discrete data inputs. This study… Click to show full abstract
Deep learning models (DLMs) are applied across domains of health sciences to generate meaningful predictions. DLMs make use of neural networks to generate predictions from discrete data inputs. This study employs DLM on prechemotherapy cross‐sectional imaging to predict patients' response to neoadjuvant chemotherapy.
Keywords:
deep learning;
response neoadjuvant;
neoadjuvant chemotherapy;
cross sectional;
prechemotherapy cross;
sectional imaging
Journal Title: Journal of Surgical Oncology
Year Published: 2024
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Journal Title: Journal of Surgical Oncology
Year Published: 2024
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!