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Deep Learning Method vs. Hand-Crafte...

Sun, Wenqing.

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Deep Learning Method vs. Hand-Crafted Features for Lung Cancer Diagnosis and Breast Cancer Risk Analysis.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Deep Learning Method vs. Hand-Crafted Features for Lung Cancer Diagnosis and Breast Cancer Risk Analysis./
作者:	Sun, Wenqing.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2017,
面頁冊數:	74 p.
附註:	Source: Dissertation Abstracts International, Volume: 78-11(E), Section: B.
Contained By:	Dissertation Abstracts International78-11B(E).
標題:	Computer science. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10271382
ISBN:	9781369886900

Deep Learning Method vs. Hand-Crafted Features for Lung Cancer Diagnosis and Breast Cancer Risk Analysis.
Sun, Wenqing.

Deep Learning Method vs. Hand-Crafted Features for Lung Cancer Diagnosis and Breast Cancer Risk Analysis. - Ann Arbor : ProQuest Dissertations & Theses, 2017 - 74 p.

Source: Dissertation Abstracts International, Volume: 78-11(E), Section: B.

Thesis (Ph.D.)--The University of Texas at El Paso, 2017.

Breast cancer and lung cancer are two major leading causes of cancer deaths, and researchers have been developing computer aided diagnosis (CAD) system to automatically diagnose them for decades. In recent studies, we found that the techniques in CAD system can also be used for breast cancer risk analysis, like feature design and machine learning. Also we noticed that with the development of deep learning methods, the performance of CAD system can be improved by using computer automatically generated features. To explore these possibilities, we conducted a series of studies: the first two studies focused on transferring the original CAD system techniques to breast cancer risk analysis models; and the next two studies compared the performance of our proposed schemes using deep learning methods and traditional methods on breast cancer risk analysis and lung cancer diagnosis.

ISBN: 9781369886900Subjects--Topical Terms:

523869
Computer science.

Deep Learning Method vs. Hand-Crafted Features for Lung Cancer Diagnosis and Breast Cancer Risk Analysis.
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