{"title":"A SPECIAL SELECTION ON RECENT ADVANCES IN BIOMECHANICAL ENGINEERING – PART I","authors":"","doi":"10.1142/s0219519423020037","DOIUrl":"https://doi.org/10.1142/s0219519423020037","url":null,"abstract":"","PeriodicalId":50135,"journal":{"name":"Journal of Mechanics in Medicine and Biology","volume":" ","pages":""},"PeriodicalIF":0.8,"publicationDate":"2023-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43671424","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"TDACVO: Exponential Tasmanian Devil Anti Coronavirus Optimization assisted Deep Model for Multi-Level Brain Tumor Categorization","authors":"C. P. Jetlin, L. Sherly Puspha Annabel","doi":"10.1142/s0219519423500896","DOIUrl":"https://doi.org/10.1142/s0219519423500896","url":null,"abstract":"","PeriodicalId":50135,"journal":{"name":"Journal of Mechanics in Medicine and Biology","volume":" ","pages":""},"PeriodicalIF":0.8,"publicationDate":"2023-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42359578","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"APPLICATION AND ANALYSIS OF CUSTOMIZED BONE GRAFT OF A PATIENT UNDERGOING MANDIBLE AUGMENTATION AND DENTAL IMPLANTATION","authors":"Omid Ghaderzadeh, Hamid Reza Katoozian, Mohammad Bayat, Naghmeh Bahrami, Bahram Jafari","doi":"10.1142/s0219519423500598","DOIUrl":"https://doi.org/10.1142/s0219519423500598","url":null,"abstract":"The mandibular bone may be damaged for a variety of reasons. One of the methods used to facilitate and stimulate the bone to improve hard tissue formation is the use of bone grafts. In this study, a novel methodology was introduced to take a step towards making a custom xenograft for a patient with a mandibular bone defect. The application of the finite element method and evaluation of the graft simulation results was proposed, then the customized xenograft was provided using micro-milling. Also, 3D printing technology was used as a preoperative assessment of bone-graft interface conformity. Afterward, the graft was implemented for mandibular augmentation and the patient was prepared for further dental implantation. Finally, cone-based computer tomography images in different time intervals were taken for clinical assessment. Results showed that six months after the graft placement, the vertical distance from the alveolar ridge to the incisive canal and the mandibular canal was increased by 261% and 250%, respectively. Furthermore, the images taken after the insertion of dental implants and frequent observations by the dental surgeon approved the success of the treatment. Additionally, several quantitative parameters were compared to and established with the previous literature. Combining the conventional clinical examination method with an initial computational simulation by the criteria proposed in this study aided in predicting the success of mandibular augmentation and the subsequent dental implantation. More numerical analysis criteria can be added and assessed in future studies to improve the proposed method.","PeriodicalId":50135,"journal":{"name":"Journal of Mechanics in Medicine and Biology","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136119984","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Convolutional neural network-based multi-region single inspection technique for at-home, self-prescreening of oral/laryngeal tumors","authors":"Y. Hwang, G. Kim, Hongje Lee, E. Sung, K. W. Nam","doi":"10.1142/s0219519423500884","DOIUrl":"https://doi.org/10.1142/s0219519423500884","url":null,"abstract":"","PeriodicalId":50135,"journal":{"name":"Journal of Mechanics in Medicine and Biology","volume":" ","pages":""},"PeriodicalIF":0.8,"publicationDate":"2023-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45107549","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Mathematical modeling of biomolecular interaction of enzyme-substrate-inhibitor system","authors":"Roohi Bhat, M. A. Khanday, F. Zargar","doi":"10.1142/s0219519423500872","DOIUrl":"https://doi.org/10.1142/s0219519423500872","url":null,"abstract":"","PeriodicalId":50135,"journal":{"name":"Journal of Mechanics in Medicine and Biology","volume":" ","pages":""},"PeriodicalIF":0.8,"publicationDate":"2023-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44335060","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Hybrid Recognition Method via KELM With CPSO for MMG-Based Upper Limb Movements Classification","authors":"Gangsheng Cao, Yue Zhang, Hanyang Zhang, Tongtong Zhao, Cunming Xia","doi":"10.1142/s0219519423500847","DOIUrl":"https://doi.org/10.1142/s0219519423500847","url":null,"abstract":"","PeriodicalId":50135,"journal":{"name":"Journal of Mechanics in Medicine and Biology","volume":" ","pages":""},"PeriodicalIF":0.8,"publicationDate":"2023-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48879965","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"New approach for Digital recovery for 12 lead ecg raw data from color scanned image of printed record","authors":"Rafah H. Shallal, Muhammad Ilyas, Sameer K. Salih","doi":"10.1142/s0219519423500860","DOIUrl":"https://doi.org/10.1142/s0219519423500860","url":null,"abstract":"","PeriodicalId":50135,"journal":{"name":"Journal of Mechanics in Medicine and Biology","volume":" ","pages":""},"PeriodicalIF":0.8,"publicationDate":"2023-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47320061","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Transition motion pattern classification for lower limb exoskeleton in stair scenesbased on cnn and gru","authors":"Fei Yu, Jianbin Zheng, Lie Yu, Huichun Xiao, Qiang Chen, Di Zhang","doi":"10.1142/s0219519423500859","DOIUrl":"https://doi.org/10.1142/s0219519423500859","url":null,"abstract":"","PeriodicalId":50135,"journal":{"name":"Journal of Mechanics in Medicine and Biology","volume":" ","pages":""},"PeriodicalIF":0.8,"publicationDate":"2023-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49074649","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"BRAIN TUMOR SEGMENTATION AND CLASSIFICATION USING OPTIMIZED U-NET","authors":"K. V. SHINY","doi":"10.1142/s0219519423500501","DOIUrl":"https://doi.org/10.1142/s0219519423500501","url":null,"abstract":"<p>In the brain, the abnormal growth of cells or solid intracranial neoplasm is known as brain tumor, which is one of the world’s most tedious diseases. Hence, there is a need for segmentation and classification of the brain tumor accurately. It is difficult to separate the tumor tissues and other tissues from the brain. The major aim of this research is to use magnetic resonance imaging (MRI) segment and classify the brain tumor and all the abnormalities in the brain. The MRI is initially fed into the pre-processing system and then it is segmented using the region-growing segmentation algorithm in the pre-operative MRI. It produces the segmented area and it is forwarded for classification. In the classification step, the Honey Badger Algorithm (HBA) is applied to train the U-Net classifier. The tumor tissues and the different types of tissues or abnormalities in brain tumors are classified by this algorithm. Overall, the post-operative and pre-operative MRI brain tumor segmentation and classification consist of the same steps. To find out the pixel changes, both the segmented output of pre-operative and post-operative MRI was compared. It helps in finding the emerging tumor after surgery and the success rate of surgery. Based on pre-operative MRI, the implemented scheme has maximum specificity, sensitivity, and accuracy of 0.977, 0.968, and 0.949.</p>","PeriodicalId":50135,"journal":{"name":"Journal of Mechanics in Medicine and Biology","volume":"1 1","pages":""},"PeriodicalIF":0.8,"publicationDate":"2023-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138528805","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Comparison of convolutional neural network image classification performance relative to the amount of training data using cardiomegaly X-ray images","authors":"Minjeong Kim, Junghun Kim, Jongmin Lee","doi":"10.1142/s021951942340081x","DOIUrl":"https://doi.org/10.1142/s021951942340081x","url":null,"abstract":"","PeriodicalId":50135,"journal":{"name":"Journal of Mechanics in Medicine and Biology","volume":" ","pages":""},"PeriodicalIF":0.8,"publicationDate":"2023-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47031985","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}