Nodule detection from posterior and anterior chest radio graph using circular hough transform

Satyasavithri, T.; Devi, S. K. Chaya

doi:10.1109/ccintels.2016.7878200

Cited by 3 publications

(1 citation statement)

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“…Some of those algorithms were discussed in this paper. We developed different methods [ 59 , 60 ] for detecting tumor from chest radiographs. In one of our proposed algorithms, Circular Hough Transform was used for finding nodule regions, wherein shape of the nodule regions present in the image is presumed as circular.…”

Section: Discussionmentioning

confidence: 99%

Review: On Segmentation of Nodules from Posterior and Anterior Chest Radiographs

Devi

Savithri

2018

International Journal of Biomedical Imaging

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Lung cancer is one of the major types of cancer in the world. Survival rate can be increased if the disease can be identified early. Posterior and anterior chest radiography and computerized tomography scans are the most used diagnosis techniques for detecting tumor from lungs. Posterior and anterior chest radiography requires less radiation dose and is available in most of the diagnostic centers and it costs less compared to the remaining diagnosis techniques. So PA chest radiography became the most commonly used technique for lung cancer detection. Because of superimposed anatomical structures present in the image, sometimes radiologists cannot find abnormalities from the image. To help radiologists in diagnosing tumor from PA chest radiographic images range of CAD scheme has been developed for the past three decades. These computerized tools may be used by radiologists as a second opinion in detecting tumor. Literature survey on detecting tumors from chest graphs is presented in this paper.

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Section: Discussionmentioning

confidence: 99%