Abstract: Glioma has been one of the most common life-threatening brain tumor diseases all over the world with different levels of aggressiveness: Low Grade Glioma (LGG) and High Grade Glioma (HGG), and consequently automated glioma grade prediction methods based on multi-modal MRI images are of great interest. However, the development of effective automated methods, and in particular convolutional neural networks (CNN) for fast and accurate medical image analysis has relied on the availability of large annotated training datasets. The purpose of this study was to develop a 2D CNN model, Triplanar-CNN, to a fully automated and accurate glioma grade prediction, using a small training dataset of less than 300 glioma patients who underwent pre-operative volumetric MRI exams, which included FLAIR, T1Gd, T1, and T2 modalities. Our approach operates on all of the MRI modalities and plane slices (axial, coronal, and sagittal) based on reconstructing the volumetric MRI as a set of 2D stacked slices in t

• Publication Date: 31-May-2020
• DOI: 10.15224/978-1-63248-188-7-05
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Abstract: The objective of this participatory action research aimed to study and analyze sesame production and marketing and to create and develop appropriate sesame product marketing strategies based on the supply chain of Ban Pang Moo Healthy Sesame Group. It was conducted by surveying phenomenon, in-depth interviews as well as focus group. The sample included 30 sesame villager producers of Ban Pang Moo Healthy Sesame Group. The findings revealed that most sesame growing areas belonged to agriculturalists, the cultivated used local black sesame stored from previous years, most of the laborers were from the family, and almost all the products were sold to the middlemen who determine the prices. The study of the appropriate marketing strategies found that the product strategies must build confidence to consumers with the identity of the local sesame seeds, and the competitive position was safe production and had the health benefits under the family brand. Price strategies in the general market

• Publication Date: 31-May-2020
• DOI: 10.15224/978-1-63248-188-7-06
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