A Simple Method to Train the AI Diagnosis Model of Pulmonary Nodules.

Journal: Computational and mathematical methods in medicine

PMID: 32802147

Abstract

BACKGROUND: The differential diagnosis of subcentimetre lung nodules with a diameter of less than 1 cm has always been one of the problems of imaging doctors and thoracic surgeons. We plan to create a deep learning model for the diagnosis of pulmonary nodules in a simple method.

Authors

Zhehao He

Department of Thoracic Surgery, The First Affiliated Hospital, College of Medicine, Zhejiang University, China.
Wang Lv

Department of Thoracic Surgery, The First Affiliated Hospital, College of Medicine, Zhejiang University, China.
Jian Hu

Department of Chemistry, Michigan State University, MI, 48824, USA.

Keywords

Adenocarcinoma of Lung Artificial Intelligence Carcinoma, Non-Small-Cell Lung Databases, Factual Deep Learning Diagnosis, Differential Expert Systems Expert Testimony Humans Lung Neoplasms Multiple Pulmonary Nodules Radiographic Image Interpretation, Computer-Assisted Solitary Pulmonary Nodule Tomography, X-Ray Computed

External Resources

View on PubMed Access via DOI PubMed (32802147)

A Simple Method to Train the AI Diagnosis Model of Pulmonary Nodules.

Abstract

Authors

Keywords

External Resources

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