Diabetic Foot Ulcers Grand Challenge
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| Author | : Moi Hoon Yap |
| Publisher | : Springer Nature |
| Total Pages | : 130 |
| Release | : 2023-02-11 |
| Genre | : Computers |
| ISBN | : 3031263545 |
This book constitutes the Third Diabetic Foot Ulcers Grand Challenge, DFUC 2022, which was held on September 2022, in conjunction with the 25th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2022 in Singapore. The 8 full papers presented together with 5 challenge papers and 3 post-challenge papers included in this book were carefully reviewed and selected from 19 submissions. The DFU challenges aim to motivate the health care domain to share datasets, participate in ground truth annotation, and enable data-innovation in computer algorithm development. In the longer term, it will lead to improved patient care.
| Author | : Moi Hoon Yap |
| Publisher | : Springer Nature |
| Total Pages | : 127 |
| Release | : 2022-01-20 |
| Genre | : Computers |
| ISBN | : 3030949079 |
This book constitutes the Second Diabetic Foot Ulcers Grand Challenge, DFUC 2021, which was held on September 27, 2021, in conjunction with the 24th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2021. The challenge took place virtually due to the COVID-19 pandemic. The 6 full papers included in this book were carefully reviewed and selected from 14 submissions. There is also an overview paper on the challenge and datasets and one summary paper of DFUC 2021.
| Author | : Guang Yang |
| Publisher | : Springer Nature |
| Total Pages | : 913 |
| Release | : 2022-07-25 |
| Genre | : Computers |
| ISBN | : 3031120531 |
This book constitutes the refereed proceedings of the 26th Conference on Medical Image Understanding and Analysis, MIUA 2022, held in Cambridge, UK, in July 2022. The 65 full papers presented were carefully reviewed and selected from 95 submissions. They were organized according to following topical sections: biomarker detection; image registration, and reconstruction; image segmentation; generative models, biomedical simulation and modelling; classification; image enhancement, quality assessment, and data privacy; radiomics, predictive models, and quantitative imaging. Chapter “FCN-Transformer Feature Fusion for Polyp Segmentation” is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
| Author | : Mohammad Tanveer |
| Publisher | : Springer Nature |
| Total Pages | : 748 |
| Release | : 2023-04-13 |
| Genre | : Computers |
| ISBN | : 9819916453 |
The four-volume set CCIS 1791, 1792, 1793 and 1794 constitutes the refereed proceedings of the 29th International Conference on Neural Information Processing, ICONIP 2022, held as a virtual event, November 22–26, 2022. The 213 papers presented in the proceedings set were carefully reviewed and selected from 810 submissions. They were organized in topical sections as follows: Theory and Algorithms; Cognitive Neurosciences; Human Centered Computing; and Applications. The ICONIP conference aims to provide a leading international forum for researchers, scientists, and industry professionals who are working in neuroscience, neural networks, deep learning, and related fields to share their new ideas, progress, and achievements.
| Author | : Ajith Abraham |
| Publisher | : Springer Nature |
| Total Pages | : 510 |
| Release | : |
| Genre | : |
| ISBN | : 3031647769 |
| Author | : Gourav Bathla |
| Publisher | : CRC Press |
| Total Pages | : 331 |
| Release | : 2024-10-23 |
| Genre | : Computers |
| ISBN | : 1040134246 |
This book presents state-of-the-art research works for a better understanding of the advantages and limitations of AI techniques in the field of healthcare. It will further discuss artificial intelligence applications in depression, hypertension and diabetes management. The text also presents an artificial intelligence chatbot for depression, diabetes, and hypertension self-help. This book: Provides a structured overview of recent developments of artificial intelligence applications in the healthcare sector. Presents an in-depth understanding of how artificial intelligence techniques can be applied to diabetes management. Showcases supervised learning techniques based on datasets for depression management. Discusses artificial intelligence chatbot for diabetes, depression, and hypertension self-care. Highlights the importance of artificial intelligence in managing and predicting diabetes, hypertension, and depression. The text is primarily written for senior undergraduate, graduate students, and academic researchers in diverse fields including electrical engineering, electronics and communications engineering, computer science and engineering, and biomedical engineering.
| Author | : J. Mantas |
| Publisher | : IOS Press |
| Total Pages | : 616 |
| Release | : 2022-08-05 |
| Genre | : Medical |
| ISBN | : 1643682911 |
Data science, informatics and technology have inspired health professionals and informaticians to improve healthcare for the benefit of all patients, and the field of biomedical and health informatics is one which has become increasingly important in recent years. This volume presents the papers delivered at ICIMTH 2022, the 20th International Conference on Informatics, Management, and Technology in Healthcare, held in Athens, Greece, from 1-3 July 2022. The ICIMTH Conference is an annual scientific event attended by scientists from around the world working in the field of biomedical and health informatics. This year, thanks to the improvement in the situation as regards the COVID-19 pandemic and the consequent lifting of restrictions, the conference was once again a live event, but virtual sessions by means of teleconferencing were also enabled for those unable to travel due to local restrictions. The field of biomedical and health informatics was examined from a very broad perspective, with participants presenting the research and application outcomes of informatics from cell to populations, including several technologies such as imaging, sensors, biomedical equipment, and management and organizational aspects, including legal and social issues. More than 230 submissions were received, with a total of 130 accepted as full papers and 19 as short communication and poster papers after review. As expected, a significant number of papers were related to the COVID-19 pandemic. Providing a state-of-the-art overview of biomedical and health informatics, the book will be of interest to all those working in the field of healthcare, researchers and practitioners alike
| Author | : Amit Gefen |
| Publisher | : Academic Press |
| Total Pages | : 436 |
| Release | : 2021-04-21 |
| Genre | : Technology & Engineering |
| ISBN | : 0128210710 |
The Science, Etiology and Mechanobiology of Diabetes and Its Complications presents the most comprehensive synthesis of contemporary global research on diabetes, covering a novel and unique mechanobiological perspective – addressing prevention, management and treatment of tissue, organ and body system damage associated with diabetes and its complications. The book provides a unique approach to communicating diabetes-associated symptoms and opens avenues for development of novel therapeutic and preventive methods. It offers descriptive pathophysiology of diabetes and its complications with great emphasis on mechanobiology. Content coverage also includes management of tissue, organ and body system damage caused by chronic hyperglycemia. Biologists, life scientists, physicians, pharmacists, biomedical engineers, medical physicists, biomathematicians and computer scientists who are interested in the state-of-science and current challenges in the mechanobiology of diabetes should find this book very useful. Likewise, medical researchers in fields such as endocrinology, cardiovascular medicine, oncology, obesity, the immune system, inflammation and wound care and others who wish to be updated about the latest achievements in this exciting arena of research will find that information here. - Covers the state-of-knowledge in diabetes research from a mechanobiological perspective, including cell death and (neural, connective, adipose, vascular, renal etc.) tissue damage cascades and healing processes - Describes state-of-the-art technology in prevention, diagnosis, prognosis and treatment of tissue, organ and body system damage caused by chronic hyperglycemia and diabetes - Explores emerging research directions and future technology trends in the field of diabetes prevention and care, including common complications of diabetes (foot ulcers and amputation, peripheral neuropathy, retinal damage, renal damage, vascular and cardiac damage, connective tissue damage etc.) at the early stage of research and development in academia and industry
| Author | : Yanio Hernández Heredia |
| Publisher | : Springer Nature |
| Total Pages | : 454 |
| Release | : 2021-11-03 |
| Genre | : Computers |
| ISBN | : 3030896919 |
This book constitutes the refereed proceedings of the 7th International Workshop on Artificial Intelligence and Pattern Recognition, IWAIPR 2021, held in Havana, Cuba, in October 2021. The 42 full papers presented were carefully reviewed and selected from 73 submissions. The papers promote and disseminate ongoing research on mathematical methods and computing techniques for artificial intelligence and pattern recognition, in particular in bioinformatics, cognitive and humanoid vision, computer vision, image analysis and intelligent data analysis.
| Author | : Hayit Greenspan |
| Publisher | : Springer Nature |
| Total Pages | : 783 |
| Release | : 2023-09-30 |
| Genre | : Computers |
| ISBN | : 3031439961 |
The ten-volume set LNCS 14220, 14221, 14222, 14223, 14224, 14225, 14226, 14227, 14228, and 14229 constitutes the refereed proceedings of the 26th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2023, which was held in Vancouver, Canada, in October 2023. The 730 revised full papers presented were carefully reviewed and selected from a total of 2250 submissions. The papers are organized in the following topical sections: Part I: Machine learning with limited supervision and machine learning – transfer learning; Part II: Machine learning – learning strategies; machine learning – explainability, bias, and uncertainty; Part III: Machine learning – explainability, bias and uncertainty; image segmentation; Part IV: Image segmentation; Part V: Computer-aided diagnosis; Part VI: Computer-aided diagnosis; computational pathology; Part VII: Clinical applications – abdomen; clinical applications – breast; clinical applications – cardiac; clinical applications – dermatology; clinical applications – fetal imaging; clinical applications – lung; clinical applications – musculoskeletal; clinical applications – oncology; clinical applications – ophthalmology; clinical applications – vascular; Part VIII: Clinical applications – neuroimaging; microscopy; Part IX: Image-guided intervention, surgical planning, and data science; Part X: Image reconstruction and image registration.
