Expert System for Lung Cancer Using CT Images - Volume 1
Application of Medical Image processing for Expert Systems
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This book is designed for four volumes, in which first volume deals with all fundamentals of image processing and artificial neural networks. The secind volume deals with four important morphological features, namely: spiculated nodule, Groundglass opacity, sub-pleural and calcification for calculating automatic classification of malignancy and beninity. The third volume discusses about all the other morphological features with staging of lung cancer. The final volume is about prediction of lung cancer when solitary pulmonary nodule is of 3 cm diameter itself, it will predict whether it will g...
This book is designed for four volumes, in which first volume deals with all fundamentals of image processing and artificial neural networks. The secind volume deals with four important morphological features, namely: spiculated nodule, Groundglass opacity, sub-pleural and calcification for calculating automatic classification of malignancy and beninity. The third volume discusses about all the other morphological features with staging of lung cancer. The final volume is about prediction of lung cancer when solitary pulmonary nodule is of 3 cm diameter itself, it will predict whether it will grow towards malignancy or beninity when it attains 30 cms diameter.
