Dose-area-product (DAP) modelling of Siemens Max-series X-ray digital radiography (DR) systems

Du, Yi; Chuanya, Liu; Zhang, Jian; Chen, Xiaoqing; Fu, Haihong; Wu, Hao

doi:10.1016/j.radphyschem.2020.109311

Search citation statements

Order By: Relevance

Paper Sections

Select...

) Inception Resnet V21

Introduction1

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2022

2023

Publication Types

Select...

Preprint1

Article1

Relationship

Self Cite0

Independent2

Authors

Journals

Cited by 2 publications

(2 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The InceptionResNetV2 CNN blends the Inception and Resnet design to attain good classification performance utilizing a ResNet architecture with a low calculation cost of the Inception architecture [51].…”

Section: ) Inception Resnet V2mentioning

confidence: 99%

“…Machine learning (ML) and deep learning (DL) techniques have become important disciplines to mine, analyze, and recognize patterns from data [12]. Now, AI techniques have been applied to various medical domains; for example, pulmonary diseases [46,47], cardiology [48,49], and brain surgery [50,51]. In Table 1 [52][53][54][55][56][57][58][59][60], we summarize various models built using AI.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation