International Journal of Science , Engineering and Management (IJSEM)

Monthly Journal for Science , Engineering and Management

Volume2,June 2017,

Topic : Convolutional Neural Network for Detection and Identification of Interstitial Lung Diseases

Authors:Bondfale Namrata || Asst Prof. Banait Shweta

Abstract:Automated tissue characterization is standout amongst the most essential parts of computer aided diagnosis (CAD) system for interstitial lung diseases (ILDs).Deep learning strategies provides impressive results in variety of computer vision problems such as medicinal picture investigation. In this paper, we plan and evaluate a convolutional neural network (CNN) for the classification of ILD patterns. The proposed system comprises of 5 convolutional layers, trailed by two fully connected layers. The last thick layer has different outputs, equivalent to the classes like ground glass opacity (GGO), micronodules, consolidation, reticulation, honeycombing etc. Future work incorporates extending CNN to three-dimensional data (information) gave by CT volume scans and integrating the proposed method into CAD framework that intends differential diagnosis for ILDs as a strong device for radiologists..

Keywords: Convolutional neural networks, interstitial lung diseases, texture classification.

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DOI: 01.1617/vol4/iss6/pid08495


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Editor-in-Chief

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Dr.Muhammad Ishtiaq,
Mirpur University of
Science & Technology,
Mirpur, Azad Kasmir.

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IMPACT FACTOR: 2.7

ISSN(Online): 2456-1304

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Thomson Reuters ID : q-6288-2016.
ORCiD Research ID : 0000-0001-9540-6799

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ACCEPTANCE RATIO: 25%
ARTICLES PUBLISHED:00007
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Journal Code : IJSEM
Electronic ISSN : 2456-1304
Impact Factor : 2.7
Frequency : Monthly
Contact : editor@ijsem.org

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