JOURNAL OF DIGITAL IMAGING
ISSN:0897-1889

JOURNAL OF DIGITAL IMAGING

数码影像杂志
J DIGIT IMAGING
学科领域:-
是否预警:不在预警名单内
是否OA:
录用周期:-
新锐分区:-
年发文量:-
影响因子:3.8
JCR分区:Q1

基本信息

数码影像杂志《数字成像杂志》(JDI)是医学成像信息学学会(SIIM)的官方同行评审期刊。JDI的目标是加强医学成像信息学的一般主题所包含的知识交流,如所有医学成像环境中的临床、工程和信息技术和技术的研究和实践。JDI主题是研究人员、开发人员、教育工作者、医生和成像信息学专业人员感兴趣的主题。企业的图像信息学;启用图像的电子医疗记录; RIS和HIS;数字图像获取;图像处理;图像数据压缩; 3D、可视化和多媒体;语音识别;计算机辅助诊断;设施设计;成像词汇表和本体;转变放射学判读过程(TRIP™); DICOM等标准;工作流和过程建模和仿真;品质保证;档案完整性和安全性;远程放射学;数字乳腺X线摄影;和放射信息学教育。
0897-1889SCIE/Scopus收录
3.8
2.74
2025年3月升级版
点击查看历史分区趋势    >
大类学科小类学科Top期刊综述期刊
工程技术3区
RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING 核医学
3区
WOS期刊SCI分区  2024-2025最新升级版
按JIF指标学科分区收集子录JIF分区JIF排名百分位
学科:RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
SCIE
Q1
36/213
按JCR指标学科分区收集子录JCR分区JCR排名百分位
学科:RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
SCIE
Q1
34/213
暂无h-index数据
-
8%---RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING-
0%
时间预警情况
2026年03月发布的新锐学术版不在预警名单中
2025年03月发布的2025版不在预警名单中
2024年02月发布的2024版不在预警名单中
2023年01月发布的2023版不在预警名单中
2021年12月发布的2021版不在预警名单中
2020年12月发布的2020版不在预警名单中
0.00%26.26%-
CiteScore:8.50
SJR:0.734
SNIP:1.267
学科类别分区排名百分位
大类:Medicine
小类:Radiology, Nuclear Medicine and Imaging
Q1
29 / 346
大类:Medicine
小类:Radiological and Ultrasound Technology
Q1
8 / 64
大类:Medicine
小类:Computer Science Applications
Q1
165 / 947

期刊高被引文献

Deep Learning Techniques for Medical Image Segmentation: Achievements and Challenges
来源期刊:Journal of Digital ImagingDOI:10.1007/s10278-019-00227-x
Melanoma Skin Cancer Detection Method Based on Adaptive Principal Curvature, Colour Normalisation and Feature Extraction with the ABCD Rule
来源期刊:Journal of Digital ImagingDOI:10.1007/s10278-019-00316-x
Automatic Catheter and Tube Detection in Pediatric X-ray Images Using a Scale-Recurrent Network and Synthetic Data
来源期刊:Journal of Digital ImagingDOI:10.1007/s10278-019-00201-7
Deep Learning for Detection of Complete Anterior Cruciate Ligament Tear
来源期刊:Journal of Digital ImagingDOI:10.1007/s10278-019-00193-4
The Classification of Renal Cancer in 3-Phase CT Images Using a Deep Learning Method
来源期刊:Journal of Digital ImagingDOI:10.1007/s10278-019-00230-2
Reduction of False-Positive Markings on Mammograms: a Retrospective Comparison Study Using an Artificial Intelligence-Based CAD
来源期刊:Journal of Digital ImagingDOI:10.1007/s10278-018-0168-6
Improved Cancer Detection Using Artificial Intelligence: a Retrospective Evaluation of Missed Cancers on Mammography
来源期刊:Journal of Digital ImagingDOI:10.1007/s10278-019-00192-5
Could Blockchain Technology Empower Patients, Improve Education, and Boost Research in Radiology Departments? An Open Question for Future Applications
来源期刊:Journal of Digital ImagingDOI:10.1007/s10278-019-00246-8
Eye Tracking for Deep Learning Segmentation Using Convolutional Neural Networks
来源期刊:Journal of Digital ImagingDOI:10.1007/s10278-019-00220-4
Performance of a Deep Neural Network Algorithm Based on a Small Medical Image Dataset: Incremental Impact of 3D-to-2D Reformation Combined with Novel Data Augmentation, Photometric Conversion, or Transfer Learning
来源期刊:Journal of Digital ImagingDOI:10.1007/s10278-019-00267-3
Computer-Aided Diagnosis (CAD) of Pulmonary Nodule of Thoracic CT Image Using Transfer Learning
来源期刊:Journal of Digital ImagingDOI:10.1007/s10278-019-00204-4
Generate Structured Radiology Report from CT Images Using Image Annotation Techniques: Preliminary Results with Liver CT
来源期刊:Journal of Digital ImagingDOI:10.1007/s10278-019-00298-w
Image Annotation by Eye Tracking: Accuracy and Precision of Centerlines of Obstructed Small-Bowel Segments Placed Using Eye Trackers
来源期刊:Journal of Digital ImagingDOI:10.1007/s10278-018-0169-5
Determining Follow-Up Imaging Study Using Radiology Reports
来源期刊:Journal of Digital ImagingDOI:10.1007/s10278-019-00260-w
Model Image-Based Metal Artifact Reduction for Computed Tomography
来源期刊:Journal of Digital ImagingDOI:10.1007/s10278-019-00210-6
Correction to: Toward Automatic Detection of Radiation-Induced Cerebral Microbleeds Using a 3D Deep Residual Network
来源期刊:Journal of Digital ImagingDOI:10.1007/s10278-018-0166-8
Variabilities in Reference Standard by Radiologists and Performance Assessment in Detection of Pulmonary Embolism in CT Pulmonary Angiography
来源期刊:Journal of Digital ImagingDOI:10.1007/s10278-019-00228-w
A Holistically-Nested U-Net: Surgical Instrument Segmentation Based on Convolutional Neural Network
来源期刊:Journal of Digital ImagingDOI:10.1007/s10278-019-00277-1
Lens Identification to Prevent Radiation-Induced Cataracts Using Convolutional Neural Networks
来源期刊:Journal of Digital ImagingDOI:10.1007/s10278-019-00242-y
Investigation of Low-Dose CT Lung Cancer Screening Scan “Over-Range” Issue Using Machine Learning Methods
来源期刊:Journal of Digital ImagingDOI:10.1007/s10278-019-00233-z
Lexicomp App Review
来源期刊:Journal of Digital ImagingDOI:10.1007/s10278-019-00219-x
Interoperability and Considerations for Standards-Based Exchange of Medical Images: HIMSS-SIIM Collaborative White Paper
来源期刊:Journal of Digital ImagingDOI:10.1007/s10278-019-00294-0
Fundamentals of Enterprise Photodocumentation: Connecting the Clinical and Technical—a Review of Key Concepts
来源期刊:Journal of Digital ImagingDOI:10.1007/s10278-019-00212-4
SIIM Announces New Awards!
来源期刊:Journal of Digital ImagingDOI:10.1007/s10278-019-00285-1
Parallel Architecture of Fully Convolved Neural Network for Retinal Vessel Segmentation
来源期刊:Journal of Digital ImagingDOI:10.1007/s10278-019-00250-y
Correction to: Collaborative and Reproducible Research: Goals, Challenges, and Strategies
来源期刊:Journal of Digital ImagingDOI:10.1007/s10278-018-0164-x
Towards an Information Infrastructure for Medical Image Sharing
来源期刊:Journal of Digital ImagingDOI:10.1007/s10278-019-00243-x
Musculoskeletal Radiology Reports: Overlooked or Valuable?
来源期刊:Journal of Digital ImagingDOI:10.1007/s10278-019-00286-0
AI Is Bringing USB Back: Implementing a Beta Chest X-ray Neural Network
来源期刊:Journal of Digital ImagingDOI:10.1007/s10278-019-00247-7
Imaging Informatics Fellowship Curriculum: a Survey to Identify Core Topics and Potential Inter-Program Areas of Collaboration
来源期刊:Journal of Digital ImagingDOI:10.1007/s10278-019-00292-2
Toward Data-Driven Learning Healthcare Systems in Interventional Radiology: Implementation to Evaluate Venous Stent Patency
来源期刊:Journal of Digital ImagingDOI:10.1007/s10278-019-00280-6

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