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This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.
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.
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This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.
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.