Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
612-822-4611

  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Imaging Methodologies for Lung Cancer Diagnosis

Imaging Methodologies for Lung Cancer Diagnosis

K, Sakthivel
C, Kavitha
S, Gokilapriya

Paperback

General Computers

ISBN10: 6207998731
ISBN13: 9786207998739
Publisher: LAP Lambert Academic Publishing
Published: Aug 19 2024
Pages: 104
Weight: 0.36
Height: 0.25 Width: 6.00 Depth: 9.00
Language: English
Computed Tomography (CT) is considered as the most sensitive imaging technique for early detection of lung cancer. On the other hand, there is a requirement for automated or semi-automated methodology in order to make use of large amount of data obtained from CT images and more accurately understanding of individual images. CAD can be used efficiently for early detection of lung cancer. Computer Aided Diagnosis (CAD) has been playing a significant role in cancer detection for the past two decades. Early detection of lung cancer is the only way by which the death rate can be reduced. But there is lot of difficulty in the early detection of lung cancer nodules. The usage of existing CAD systems for early detection of lung cancer with the help of CT images has been unsatisfactory because of its low sensitivity and high False Positive Rates (FPR).

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