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Lung Nodule Detection

Authors(2):

Rasika N. Kachore, Kivita Singh
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Various image processing and computer vision techniques can be used to determine cancer cells from medical images. Medical image classification plays an important role in medical research field. The patient lung images are classified into either benign (non-cancer) or malignant (cancer). There are many effective algorithms to analyze different salient detection methods. Here salient region is lung nodule, we have to detect nodule by using fast pixel-wise image saliency aggregation (F-PISA). This paper analyzes summarize some of the information about F-PISA framework for the purpose of early detection and diagnosis of lung cancer. This present work proposes a method to detect the cancerous nodule effectively from the CT scan images by reducing the detection error.

Rasika N. Kachore, Kivita Singh

Visual saliency, pixel-wise image saliency, object detection, feature engineering, image filtering.

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Publication Details

Published in : Volume 3 | Issue 2 | March-April - 2017
Date of Publication Print ISSN Online ISSN
2017-04-30 2395-1990 2394-4099
Page(s) Manuscript Number   Publisher
642-647 IJSRSET1732182   Technoscience Academy

Cite This Article

Rasika N. Kachore, Kivita Singh, "Lung Nodule Detection", International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 3, Issue 2, pp.642-647, March-April-2017.
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