A Generalized Deep Learning-Based Diagnostic System for Early Diagnosis of Various Types of Pulmonary Nodules

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A Generalized Deep Learning-Based Diagnostic System for Early Diagnosis of Various Types of Pulmonary Nodules

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scientific article published on 01 January 2018

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wetenschappelijk artikel

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наукова стаття, опублікована в січні 2018

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A Generalized Deep Learning-Ba ...... ous Types of Pulmonary Nodules

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A Generalized Deep Learning-Ba ...... ous Types of Pulmonary Nodules

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A Generalized Deep Learning-Ba ...... ous Types of Pulmonary Nodules

@en

A Generalized Deep Learning-Ba ...... ous Types of Pulmonary Nodules

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A Generalized Deep Learning-Ba ...... ous Types of Pulmonary Nodules

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A Generalized Deep Learning-Ba ...... ous Types of Pulmonary Nodules

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A Generalized Deep Learning-Ba ...... ous Types of Pulmonary Nodules

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Ahmed Shaffie

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Ahmed Soliman

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Brian Wang

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Fatma Taher

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Luay Fraiwan

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Mohammed Ghazal

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Neal Dunlap

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Robert Keynton

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Victor van Berkel

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P2860

Can diffusion-weighted imaging be used as a reliable sequence in the detection of malignant pulmonary nodules and masses?

The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): a completed reference database of lung nodules on CT scans.

Computer-aided detection (CADe) and diagnosis (CADx) system for lung cancer with likelihood of malignancy.

A Combination of Shape and Texture Features for Classification of Pulmonary Nodules in Lung CT Images.

Using Deep Learning for Classification of Lung Nodules on Computed Tomography Images.

A novel pixel value space statistics map of the pulmonary nodule for classification in computerized tomography images.

Random forest based lung nodule classification aided by clustering.

Computer-aided Diagnosis for Lung Cancer: Usefulness of Nodule Heterogeneity.

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1533033818798800

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scholarly article

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10.1177/1533033818798800

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English

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Ayman El-Baz

Adel S. Elmaghraby

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2018-01-01T00:00:00Z

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30244648

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diagnosis

cancer research

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6153532

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