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Application of artificial neural networks for quantitative analysis of image data in chest radiographs for detection of interstitial lung disease.

, , , , and . J. Digital Imaging, 11 (4): 182-192 (1998)

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Computerized analysis of interstitial lung diseases on chest radiographs based on lung texture, geometric-pattern features, and artificial neural networks., , , , , and . Medical Imaging: Image Processing, volume 4684 of SPIE Proceedings, SPIE, (2002)Towards radiologist-level cancer risk assessment in CT lung screening using deep learning., , , , , , , , , and 4 other author(s). Comput. Medical Imaging Graph., (2021)Alaysis of image features of histograms of edge gradient for false positive reduction in lung nodule detection in chest radiographs., , , , and . Medical Imaging: Image Processing, volume 3338 of SPIE Proceedings, SPIE, (1998)Analysis of a three-dimensional lung nodule detection method for thoracic CT scans., , and . Medical Imaging: Image Processing, volume 3979 of SPIE Proceedings, SPIE, (2000)Computer-assisted detection of pulmonary embolism., , and . Medical Imaging: Image Processing, volume 3979 of SPIE Proceedings, SPIE, (2000)Comparison of the quality of temporal subtraction images obtained with manual and automated methods of digital chest radiography., , , , and . J. Digital Imaging, 12 (4): 166-172 (1999)Effect of massive training artificial neural networks for rib suppression on reduction of false positives in computerized detection of nodules on chest radiographs., , , , , and . Medical Imaging: Image Processing, volume 5747 of SPIE Proceedings, SPIE, (2005)Network output visualization to uncover limitations of deep learning detection of pneumothorax., , , , and . Medical Imaging: Image Perception, Observer Performance, and Technology Assessment, volume 11316 of SPIE Proceedings, page 113160O. SPIE, (2020)Neural network approach for differential diagnosis of interstitial lung diseases., , , , , , and . Medical Imaging: Image Processing, volume 1233 of SPIE Proceedings, SPIE, (1990)Application of artificial neural networks for quantitative analysis of image data in chest radiographs for detection of interstitial lung disease., , , , and . J. Digital Imaging, 11 (4): 182-192 (1998)