Automatic lung nodule detection using profile matching and back-propagation neural network techniques
نویسندگان
چکیده
منابع مشابه
Lesion Detection in Retinal Images using Back Propagation Neural Network
Exudates are one of the chief signs of diabetic retinopathy, which is a main root of blindness and can be prevented with an early screening process. In this article, authors have attempted to detect exudates using back propagation neural network. The publicly available diabetic retinopathy dataset DIARETDB1 has been used in the evaluation process. To prevent the optic disk from interfering with...
متن کاملAutomatic volcanic ash detection from MODIS observations using a back-propagation neural network
Due to the climate effects and aviation threats of volcanic eruptions, it is important to accurately locate ash in the atmosphere. This study aims to explore the accuracy and reliability of training a neural network to identify cases of ash using observations from the Moderate Resolution Imaging Spectroradiometer (MODIS). Satellite images were obtained for the following eruptions: Kasatochi, Al...
متن کاملImage Compression Using Back Propagation Neural Network
Image compression technique is used to reduce the number of bits required in representing image, which helps to reduce the storage space and transmission cost. In the present research work back propagation neural network training algorithm has been used. Back propagation neural network algorithm helps to increase the performance of the system and to decrease the convergence time for the trainin...
متن کاملImage Deblurring Using Back Propagation Neural Network
Image deblurring is the process of obtaining the original image by using the knowledge of the degrading factors. Degradation comes in many forms such as blur, noise, and camera misfocus. A major drawback of existing restoration methods for images is that they suffer from poor convergence properties; the algorithms converge to local minima, that they are impractical for real imaging applications...
متن کاملbreathomics for gastric cancer classification using back-propagation neural network
breathomics is the metabolomics study of exhaled air. it is a powerful emerging metabolomics research field that mainly focuses onhealth-related volatile organic compounds (vocs). since the quantity of these compounds varies with health status, breathomics assuresto deliver noninvasive diagnostic tools. thus, the main aim of breathomics is to discover patterns of vocs related to abnormal metabo...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Digital Imaging
سال: 1993
ISSN: 0897-1889,1618-727X
DOI: 10.1007/bf03168418