Literature DB >> 31745604

[Radiomics-AI-based image analysis].

A Demircioğlu1.   

Abstract

Radiomics deals with the statistical analysis of radiologic image data. In this article, radiomics is introduced and some of its applications are presented. In particular, an example is used to demonstrate that pathology and radiology can work together for better diagnoses. There is no denying that artificial intelligence will find its place in radiology (and pathology). Deep learning in particular will increasingly find applications. However, the impact on clinical routine is more long term and probably gradual, so AI will initially only be used in the form of specialized tools to support everyday clinical practice until methods and programs improve to the extent that AI can also take on more general diagnoses. However, this will not replace pathologists and radiologists in the long term, but rather turn them into "information specialists" who interpret the results obtained and integrate them into clinical contours.

Keywords:  Artificial intelligence; Computer-assisted radiographic image interpretation; Machine learning; Pathology; Radiology

Mesh:

Year:  2019        PMID: 31745604     DOI: 10.1007/s00292-019-00704-8

Source DB:  PubMed          Journal:  Pathologe        ISSN: 0172-8113            Impact factor:   1.011


  8 in total

Review 1.  Update on Pulmonary Fibrosis: Not All Fibrosis Is Created Equally.

Authors:  Maxwell L Smith
Journal:  Arch Pathol Lab Med       Date:  2016-03       Impact factor: 5.534

2.  Low-Dose CT With a Residual Encoder-Decoder Convolutional Neural Network.

Authors:  Hu Chen; Yi Zhang; Mannudeep K Kalra; Feng Lin; Yang Chen; Peixi Liao; Jiliu Zhou; Ge Wang
Journal:  IEEE Trans Med Imaging       Date:  2017-06-13       Impact factor: 10.048

3.  Somatic Mutations Drive Distinct Imaging Phenotypes in Lung Cancer.

Authors:  Emmanuel Rios Velazquez; Chintan Parmar; Ying Liu; Thibaud P Coroller; Gisele Cruz; Olya Stringfield; Zhaoxiang Ye; Mike Makrigiorgos; Fiona Fennessy; Raymond H Mak; Robert Gillies; John Quackenbush; Hugo J W L Aerts
Journal:  Cancer Res       Date:  2017-05-31       Impact factor: 12.701

4.  Quantitative MRI radiomics in the prediction of molecular classifications of breast cancer subtypes in the TCGA/TCIA data set.

Authors:  Hui Li; Yitan Zhu; Elizabeth S Burnside; Erich Huang; Karen Drukker; Katherine A Hoadley; Cheng Fan; Suzanne D Conzen; Margarita Zuley; Jose M Net; Elizabeth Sutton; Gary J Whitman; Elizabeth Morris; Charles M Perou; Yuan Ji; Maryellen L Giger
Journal:  NPJ Breast Cancer       Date:  2016-05-11

5.  Comparison of machine learning methods for classifying mediastinal lymph node metastasis of non-small cell lung cancer from 18F-FDG PET/CT images.

Authors:  Hongkai Wang; Zongwei Zhou; Yingci Li; Zhonghua Chen; Peiou Lu; Wenzhi Wang; Wanyu Liu; Lijuan Yu
Journal:  EJNMMI Res       Date:  2017-01-28       Impact factor: 3.138

6.  Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach.

Authors:  Hugo J W L Aerts; Emmanuel Rios Velazquez; Ralph T H Leijenaar; Chintan Parmar; Patrick Grossmann; Sara Carvalho; Sara Cavalho; Johan Bussink; René Monshouwer; Benjamin Haibe-Kains; Derek Rietveld; Frank Hoebers; Michelle M Rietbergen; C René Leemans; Andre Dekker; John Quackenbush; Robert J Gillies; Philippe Lambin
Journal:  Nat Commun       Date:  2014-06-03       Impact factor: 14.919

7.  Generative models: an upcoming innovation in musculoskeletal radiology? A preliminary test in spine imaging.

Authors:  Fabio Galbusera; Tito Bassani; Gloria Casaroli; Salvatore Gitto; Edoardo Zanchetta; Francesco Costa; Luca Maria Sconfienza
Journal:  Eur Radiol Exp       Date:  2018-10-31

8.  Data-analysis strategies for image-based cell profiling.

Authors:  Juan C Caicedo; Sam Cooper; Florian Heigwer; Scott Warchal; Peng Qiu; Csaba Molnar; Aliaksei S Vasilevich; Joseph D Barry; Harmanjit Singh Bansal; Oren Kraus; Mathias Wawer; Lassi Paavolainen; Markus D Herrmann; Mohammad Rohban; Jane Hung; Holger Hennig; John Concannon; Ian Smith; Paul A Clemons; Shantanu Singh; Paul Rees; Peter Horvath; Roger G Linington; Anne E Carpenter
Journal:  Nat Methods       Date:  2017-08-31       Impact factor: 28.547

  8 in total
  1 in total

Review 1.  Application of Artificial Intelligence in Medicine: An Overview.

Authors:  Peng-Ran Liu; Lin Lu; Jia-Yao Zhang; Tong-Tong Huo; Song-Xiang Liu; Zhe-Wei Ye
Journal:  Curr Med Sci       Date:  2021-12-06
  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.