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Artificial Intelligence in Oncology: A Topical Collection in 2022.

作者信息

Stadlbauer Andreas, Meyer-Bäse Anke

机构信息

Institute of Medical Radiology, University Clinic St. Pölten, Karl Landsteiner University of Health Sciences, 3100 St. Pölten, Austria.

Department of Neurosurgery, Friedrich-Alexander University (FAU) Erlangen-Nürnberg, 91054 Erlangen, Germany.

出版信息

Cancers (Basel). 2023 Feb 7;15(4):1065. doi: 10.3390/cancers15041065.

DOI:10.3390/cancers15041065
PMID:36831407
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9954205/
Abstract

Artificial intelligence (AI) is considered one of the core technologies of the Fourth Industrial Revolution that is currently taking place [...].

摘要

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引用本文的文献

[1]
Electronic patient-reported outcome measures (ePROs) as tools for assessing health-related quality of life (HRQoL) in women with gynecologic and breast cancers: a systematic review.

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[2]
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本文引用的文献

[1]
Diagnosis of Depth of Submucosal Invasion in Colorectal Cancer with AI Using Deep Learning.

Cancers (Basel). 2022-10-31

[2]
Impact of Tumour Segmentation Accuracy on Efficacy of Quantitative MRI Biomarkers of Radiotherapy Outcome in Brain Metastasis.

Cancers (Basel). 2022-10-20

[3]
Transfer Learning for Adenocarcinoma Classifications in the Transurethral Resection of Prostate Whole-Slide Images.

Cancers (Basel). 2022-9-28

[4]
Automated Assessment of Breast Positioning Quality in Screening Mammography.

Cancers (Basel). 2022-9-27

[5]
DNA Karyometry for Automated Detection of Cancer Cells.

Cancers (Basel). 2022-8-30

[6]
An Artificial Intelligence-Based Tool for Data Analysis and Prognosis in Cancer Patients: Results from the Clarify Study.

Cancers (Basel). 2022-8-22

[7]
Radiomics-Based Deep Learning Prediction of Overall Survival in Non-Small-Cell Lung Cancer Using Contrast-Enhanced Computed Tomography.

Cancers (Basel). 2022-8-4

[8]
Current Developments of Artificial Intelligence in Digital Pathology and Its Future Clinical Applications in Gastrointestinal Cancers.

Cancers (Basel). 2022-8-3

[9]
Efficient Prediction of Ki-67 Proliferation Index in Meningiomas on MRI: From Traditional Radiological Findings to a Machine Learning Approach.

Cancers (Basel). 2022-7-26

[10]
How Many Private Data Are Needed for Deep Learning in Lung Nodule Detection on CT Scans? A Retrospective Multicenter Study.

Cancers (Basel). 2022-6-28

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