Multimodal deep-learning model using pre-treatment endoscopic images and clinical information to predict efficacy of neoadjuvant chemotherapy in esophageal squamous cell carcinoma

Authors

Takuma Miura

Published

January 10, 2025

Abstract

Supporters

Support the authors with ResearchCoin

Journal

Esophagus

Topics

Pulmonary And Respiratory Medicine

DOI

10.1007/s10388-025-01106-x

Multimodal deep-learning model using pre-treatment endoscopic images and clinical information to predict efficacy of neoadjuvant chemotherapy in esophageal squamous cell carcinoma

Authors

Takuma Miura

Published

January 10, 2025

Abstract

Supporters

Support the authors with ResearchCoin

Journal

Esophagus

Topics

Pulmonary And Respiratory Medicine

DOI

10.1007/s10388-025-01106-x

Paper

Paper

Paper

Paper

Multimodal deep-learning model using pre-treatment endoscopic images and clinical information to predict efficacy of neoadjuvant chemotherapy in esophageal squamous cell carcinoma

Abstract

Supporters

Journal

Topics

DOI

Multimodal deep-learning model using pre-treatment endoscopic images and clinical information to predict efficacy of neoadjuvant chemotherapy in esophageal squamous cell carcinoma

Abstract

Supporters

Journal

Topics

DOI