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Titlebook: Innovation in Medicine and Healthcare; Proceedings of 10th Yen-Wei Chen,Satoshi Tanaka,Lakhmi C. Jain Conference proceedings 2022 The Edit

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Risk Analysis of Developing Lifestyle-Related Diseases Based on the Content of Social Networking Sers are closely related to lifestyle habits such as diet, exercise, and sleep and are called lifestyle-related diseases. Lifestyle-related diseases are characterized by a lack of subjective symptoms, making it difficult to notice the deterioration of the disease. In this study, we analyzed tweets rela
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Relationship Between Mental Health, Life Skills and Life Satisfaction Among Japanese Athletesan, surveys to understand the current situation and countermeasures have been promoted. It is necessary to support athletes not only to improve their performance in competitions, but also to improve their happiness in daily life and satisfaction with life, with a view to a psychologically healthy co
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Deep Reinforcement Learning Classification of Brain Tumors on MRIg sets. Here, we introduce reinforcement learning for image classification, specifically binary classification of normal versus tumor-containing 2D MRI brain scans. We employed multi-step image classification via Deep Q learning with TD(0) environmental sampling. We trained on a set of 30 images (15
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Deep Learning on Special Processed Video Colonoscopy Datasetsand prevention. Our research focused on a well selected image database, with annotated video colonoscopy frames, for training deep learning systems. Aside the pathologic aspects like polyps, diverticula or adenomas, it is also important to have an objective tool of detecting unwanted residues left o
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Improved Mask R-CNN with Deformable Convolutions for Accurate Liver Lesion Detection in Multiphase Cant in the diagnosis of liver cancer. However, to detect liver lesion from multiphase CT images, the multiphase images must be registered accurately as a preprocessing step, which is complicated by liver deformation. Therefore, we herein propose an improved mask R-CNN (Region with Convolutional Neur
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