BMC Medical Informatics and Decision Making | |
The detection of lung cancer using massive artificial neural network based on soft tissue technique | |
Kishore Rajagopalan1  Suresh Babu1  | |
[1] Department of Electronics and Communication Engineering (ECE), Kamaraj college of engineering and technology (Autonomous), Virudhunagar, India; | |
关键词: X-ray; Sensitivity; Lung cancer; Subtle; Accuracy; | |
DOI : 10.1186/s12911-020-01220-z | |
来源: Springer | |
【 摘 要 】
BackgroundA proposed computer aided detection (CAD) scheme faces major issues during subtle nodule recognition. However, radiologists have not noticed subtle nodules in beginning stage of lung cancer while a proposed CAD scheme recognizes non subtle nodules using x-ray images.MethodSuch an issue has been resolved by creating MANN (Massive Artificial Neural Network) based soft tissue technique from the lung segmented x-ray image. A soft tissue image recognizes nodule candidate for feature extortion and classification. X-ray images are downloaded using Japanese society of radiological technology (JSRT) image set. This image set includes 233 images (140 nodule x-ray images and 93 normal x-ray images). A mean size for a nodule is 17.8 mm and it is validated with computed tomography (CT) image. Thirty percent (42/140) abnormal represents subtle nodules and it is split into five stages (tremendously subtle, very subtle, subtle, observable, relatively observable) by radiologists.ResultA proposed CAD scheme without soft tissue technique attained 66.42% (93/140) sensitivity and 66.76% accuracy having 2.5 false positives per image. Utilizing soft tissue technique, many nodules superimposed by ribs as well as clavicles have identified (sensitivity is 72.85% (102/140) and accuracy is 72.96% at one false positive rate).ConclusionIn particular, a proposed CAD system determine sensitivity and accuracy in support of subtle nodules (sensitivity is 14/42 = 33.33% and accuracy is 33.66%) is statistically higher than CAD (sensitivity is 13/42 = 30.95% and accuracy is 30.97%) scheme without soft tissue technique. A proposed CAD scheme attained tremendously minimum false positive rate and it is a promising technique in support of cancerous recognition due to improved sensitivity and specificity.
【 授权许可】
CC BY
【 预 览 】
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RO202104285546489ZK.pdf | 1111KB | download |