Journal ArticleOPEN ACCESS

Histology-Based Prediction of Therapy Response to Neoadjuvant Chemotherapy for Esophageal and Esophagogastric Junction Adenocarcinomas Using Deep Learning

  • Hörst F
  • Ting S
  • Liffers S
  • et al.
JCO Clinical Cancer Informatics (2023) (7)
DOI: 10.1200/cci.23.00038
10Citations
Citations of this article
16Readers
Mendeley users who have this article in their library.

Abstract

Deep learning predicts response to chemotherapy in patients with GEJ adenocarcinoma using HE-stained tissue samples

Cite

CITATION STYLE

APA

Hörst, F., Ting, S., Liffers, S.-T., Pomykala, K. L., Steiger, K., Albertsmeier, M., … Kleesiek, J. (2023). Histology-Based Prediction of Therapy Response to Neoadjuvant Chemotherapy for Esophageal and Esophagogastric Junction Adenocarcinomas Using Deep Learning. JCO Clinical Cancer Informatics, (7). https://doi.org/10.1200/cci.23.00038

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free