Basic of machine learning and deep learning in imaging for medical physicists

被引：37

作者：

Manco, Luigi ^{[1
]}

Maffei, Nicola ^{[1
]}

Strolin, Silvia ^{[2
]}

Vichi, Sara ^{[2
]}

Bottazzi, Luca ^{[3
]}

Strigari, Lidia ^{[2
]}

机构：

[1] AOU Modena, Med Phys Unit, Modena, Italy

[2] IRCCS Azienda Osped Univ Bologna, Med Phys Dept, Bologna, Italy

[3] Univ Modena & Reggio Emilia, Phys Dept, Modena, Italy

来源：

PHYSICA MEDICA-EUROPEAN JOURNAL OF MEDICAL PHYSICS | 2021年 / 83卷

关键词：

Imaging; Artificial intelligence; Machine Learning; deep Learning; ARTIFICIAL-INTELLIGENCE; NEURAL-NETWORK; CLASSIFICATION; CANCER; PREDICTION; ACCURACY; SYSTEM; MODEL;

D O I：

10.1016/j.ejmp.2021.03.026

中图分类号：

R8 [特种医学]; R445 [影像诊断学];

学科分类号：

1002 ; 100207 ; 1009 ;

摘要：

The manuscript aims at providing an overview of the published algorithms/automation tool for artificial intelligence applied to imaging for Healthcare. A PubMed search was performed using the query string to identify the proposed approaches (algorithms/automation tools) for artificial intelligence (machine and deep learning) in a 5year period. The distribution of manuscript in the various disciplines and the investigated image types according to the AI approaches are presented. The limitation and opportunity of AI application in the clinical practice or in the next future research is discussed.

引用

页码：194 / 205

页数：12

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