<p>This research presents a novel approach for object detection by integrating Vision Transformers (ViT) into the EfficientDet architecture. The field of computer vision, encompassing artificial intelligence, focuses on the interpretation and analysis of visual data. Recent advancements in deep learning, particularly convolutional neural networks (CNNs), have significantly improved the accuracy and efficiency of computer vision systems. Object detection, a widely studied application within computer vision, involves the identification and localization of objects in images.</p> <p>The ViT backbone, renowned for its success in image classification and natural language processing tasks, employs self-attention mechanisms to capture global dependencies in input images. However, ViT’s capability to capture fine-grained details and context information is limited. To address this limitation, the integration of ViT into the EfficientDet architecture is proposed. EfficientDet is recognized for its efficiency and accuracy in object detection. By combining the strengths of ViT and EfficientDet, the proposed integration enhances the network’s ability to capture fine-grained details and context information. It leverages ViT’s global dependency modeling alongside EfficientDet’s efficient object detection framework, resulting in highly accurate and efficient performance. Noteworthy object detection frameworks utilized in the industry, such as RetinaNet, EfficientNet, and EfficientDet, primarily employ convolution.</p> <p>Experimental evaluations were conducted using the PASCAL VOC 2007 and 2012 datasets, widely acknowledged benchmarks for object detection. The integrated ViT-EfficientDet model achieved an impressive mean Average Precision (mAP) score of 86.27% when tested on the PASCAL VOC 2007 dataset, demonstrating its superior accuracy. These results underscore the potential of the proposed integration for real-world applications.</p> <p>In conclusion, the research introduces a novel integration of Vision Transformers into the EfficientDet architecture, yielding significant improvements in object detection performance. By combining ViT’s ability to capture global dependencies with EfficientDet’s efficiency and accuracy, the proposed approach offers enhanced object detection capabilities. Future research directions may explore additional datasets and evaluate the performance of the proposed framework across various computer vision tasks.</p>

本論文緣起於本研究者積三十年於醫學教育之教學、研究、服務及醫院臨床經驗之心得，透過近年於國立政治大學商學院EMBA策略管理課程之學習，乃試以北醫大為個案實例，探討大學教學醫院與醫學院資源互惠之最適經營策略，並嘗試提出可能之最適經營模式。 基於管理哲學之建立，首在掌握探討經營目標之界定，運用可能之資源，判別環境之變化，而採取最適經營策略，進而提出最適經營模式。而本研究者，以商學院之理論基礎，檢測台北醫學大學附屬教學醫院之教育目標及使命，深受近年台灣醫學、醫藥之嚴峻挑戰與變遷，以及政府健保政策等之鉅變下，所擁有之有限醫學教育教學資源，必須與現有醫學院系之資源，有所調整與互惠運用之經營策略，故本研究者以近距離觀察，與獨有之醫學教學及臨床實務任務，作此研究，貢獻予台灣各大學教學醫院與醫學院資源互惠之經營策略參考。 關鍵詞：大學教學醫院、醫學院、醫學教育目標及使命、資源互惠、最適經營模式、調整與互惠運用、經營策略 / A study to develop effective cooperation and beneficial collaboration in resources between teaching hospitals and medical schools- a case study of Taipei Medical University Hospital This paper seeks to explore ways through which medical schools and teaching hospitals can better share their medical educational resources. With his thirty odd years of teaching and clinical experience in both Taipei Medical University and the university hospital, coupled with his EMBA structural and management learning, the author plans to develop an effective model drawing on both business management theories and his personal familiarity with the hospital management climate. With a current scarcity in medical education resources, caused by reasons ranging from the government’s recent instatement of the medical care program to the newest wave of changes in medical ethics in Taiwan, the author proposes that Taipei Medical University and its teaching hospital must re-distribute and re-organize the current model with which teaching resources is deployed if it wishes to uphold its vision of educating well-rounded young doctor. To successfully re-invent an effective model, the author proposes to employ a business management approach. According to the basic philosophy of management, a successful model must be established with a firm objective for the institution, an honest evaluation of the institution’s available resources, and careful observation of the current climate of the market. These principles would be the building blocks in the current paper for the development of an efficient model for medical education resource allocation. The following research spans a period of six years, from 2001 to 2007. Done with strict scientific methods, the research aims to provide solutions for medical school and teaching hospitals in Taiwan a better way to allocate medical education resources, and ultimately contribute to the future advancement of medical education and management in Taiwan. Key word：medical school 、teaching hospitals、medical educational resources、effective cooperation and beneficial collaboration in resources、medical education and management、efficient model