• Mashup Score: 1
    @Radiology_AI - 2 year(s) ago

    Purpose To develop a model to accurately segment mouse lungs with varying levels of fibrosis and investigate its applicability to mouse images with different resolutions. Materials and Methods In this experimental retrospective study, a U-Net was trained to automatically segment lungs on mouse CT images. The model was trained (n = 1200), validated (n = 300), and tested (n = 154) on longitudinally…

    Source: Radiology: Artificial Intelligence
    Categories: Latest Headlines, Radiology
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      RadiologyGamuts

      RT @Radiology_AI: New method for lung segmentation on CT using a CNN https://t.co/mwrUsuDWMJ @DKFZ @MaastrichtU @DKTK_ #ChestRad #DeepLearn…

  • Mashup Score: 4
    @Radiology_AI - 2 year(s) ago

    Purpose To develop a model to accurately segment mouse lungs with varying levels of fibrosis and investigate its applicability to mouse images with different resolutions. Materials and Methods In this experimental retrospective study, a U-Net was trained to automatically segment lungs on mouse CT images. The model was trained (n = 1200), validated (n = 300), and tested (n = 154) on longitudinally…

    Source: Radiology: Artificial Intelligence
    Categories: Latest Headlines, Radiology
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    • Profile photo of RadiologyGamuts
      RadiologyGamuts

      RT @Radiology_AI: New method for lung segmentation on CT using a CNN https://t.co/mwrUsuDWMJ @DKFZ @MaastrichtU @DKTK_ #ChestRad #CNN #Mach…

  • Mashup Score: 2
    @Radiology_AI - 2 year(s) ago

    Purpose To develop a model to accurately segment mouse lungs with varying levels of fibrosis and investigate its applicability to mouse images with different resolutions. Materials and Methods In this experimental retrospective study, a U-Net was trained to automatically segment lungs on mouse CT images. The model was trained (n = 1200), validated (n = 300), and tested (n = 154) on longitudinally…

    Source: Radiology: Artificial Intelligence
    Categories: Latest Headlines, Radiology
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    • Profile photo of RadiologyGamuts
      RadiologyGamuts

      RT @Radiology_AI: New method for lung segmentation on CT using a CNN https://t.co/mwrUsuDWMJ @DKFZ @MaastrichtU @DKTK_ #ChestRad #LungDisea…

  • Mashup Score: 1
    Postprocedural Pneumothorax Detection by Deep Learning on Chest Radiographs | Radiology - 2 year(s) ago

    References1. Zlevor AM, Mauch SC, Knott EA, et al. Percutaneous Lung Biopsy with Pleural and Parenchymal Blood Patching: Results and Complications from 1,112 Core Biopsies. J Vasc Interv Radiol 2021;32(9):1319–1327. Crossref, Medline, Google Scholar2. Wagner JM, Hinshaw JL, Lubner MG, et …

    Source: Radiology
    Categories: Latest Headlines, Radiology
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      radiology_rsna

      Check out this editorial by Drs. @MarkSchiebler and @MP_Hartung on #DeepLearning for pneumothorax detection after needle biopsy on chest radiographs. https://t.co/BPtFPEB88f #ChestRad https://t.co/Yj3ubDudhn

  • Mashup Score: 10
    @Radiology_AI - 2 year(s) ago

    * D.D. and I.S. contributed equally to this work.IntroductionSince the emergence of COVID-19, researchers in machine learning and radiology have rushed to develop algorithms that could assist with diagnosis, triage, and management of the disease (1). As a result, thousands of diagnostic and prognostic models using chest radiographs and CT have …

    Source: Radiology: Artificial Intelligence
    Categories: Future of Medicine, Latest Headlines
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      cekahn

      The 2nd Most Read article in @Radiology_AI: "Machine learning for COVID-19 diagnosis and prognostication: Lessons for amplifying the signal while reducing the noise" https://t.co/7u5GCHQVLf from @EvisSala @Radiology_Cam @camimaging #COVID19 #ChestRad #RadAIchat https://t.co/xUj1GvAUeW

  • Mashup Score: 5
    @Radiology_AI - 2 year(s) ago

    Purpose To train a deep learning classification algorithm to predict chest radiograph severity scores and clinical outcomes in patients with coronavirus disease 2019 (COVID-19). Materials and Methods In this retrospective cohort study, patients aged 21–50 years who presented to the emergency department (ED) of a multicenter urban health system from March 10 to 26, 2020, with COVID-19 confirmation…

    Source: Radiology: Artificial Intelligence
    Categories: Future of Medicine, Latest Headlines
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      cekahn

      The most-read article: “Combining initial radiographs and clinical variables improves deep learning prognostication in patients with COVID-19 from the emergency department” https://t.co/TJEwai0pmA @ekoermann @MountSinaiNeuro @MountSinaiDMIR #COVID19 #ChestRad #RadAIchat https://t.co/acbIalTs4S

  • Mashup Score: 0
    Radiology: Cardiothoracic Imaging | Vol 3, No 6 - 2 year(s) ago

    SectionsCardiovascular MRIFreePrevalence of Venovenous Shunting and High-Output State Quantified with 4D Flow MRI in Patients with Fontan Circulation ca mr Francesca Raimondi, Duarte Martins, Raluca Coenen, Elena Panaioli, Diala Khraiche, Nathalie Boddaert, Damien Bonnet, Melany Atkins, Howaida El-Said, Laith Alshawabkeh, Albert HsiaoPublished Online:Dec 16 …

    Source: Radiology: Cardiothoracic Imaging
    Categories: Latest Headlines, Radiology
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      radiology_rsna

      The December issue of Radiology: Cardiothoracic Imaging is now online! https://t.co/tbT8z5ggWf @RadiologyCTI #CTRad #ChestRad #RadCTI https://t.co/bBwD98vlNx

  • Mashup Score: 6
    Cardiac CT for Acute Chest Pain | Radiology - 2 year(s) ago

    References1. Taylor AJ, Cerqueira M, Hodgson JM, et al. ACCF/SCCT/ACR/AHA/ASE/ASNC/NASCI/SCAI/SCMR 2010 Appropriate Use Criteria for Cardiac Computed Tomography. A report of the American College of Cardiology Foundation Appropriate Use Criteria Task Force, the Society of Cardiovascular Computed Tomography, the American College of Radiology, the American Heart Association, the American Society of…

    Source: Radiology
    Categories: Latest Headlines, Radiology
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    • Profile photo of radiology_rsna
      radiology_rsna

      Drs. Nagpal and Bluemke discuss the importance of the research conducted by Palmisano et al. and its potential to expand the future role of cardiac CT in acute chest pain. https://t.co/1RJangf7U5 @pnagpalMD @RadiologyEditor @UWiscRadiology #ChestRad #CVRad https://t.co/R26LKEXpI9

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