標(biāo)題: Titlebook: Artificial Intelligence in Cardiothoracic Imaging; Carlo N. De Cecco,Marly van Assen,Tim Leiner Book 2022 The Editor(s) (if applicable) an [打印本頁] 作者: 頌歌 時間: 2025-3-21 17:48
書目名稱Artificial Intelligence in Cardiothoracic Imaging影響因子(影響力)
書目名稱Artificial Intelligence in Cardiothoracic Imaging影響因子(影響力)學(xué)科排名
書目名稱Artificial Intelligence in Cardiothoracic Imaging網(wǎng)絡(luò)公開度
書目名稱Artificial Intelligence in Cardiothoracic Imaging網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Artificial Intelligence in Cardiothoracic Imaging被引頻次
書目名稱Artificial Intelligence in Cardiothoracic Imaging被引頻次學(xué)科排名
書目名稱Artificial Intelligence in Cardiothoracic Imaging年度引用
書目名稱Artificial Intelligence in Cardiothoracic Imaging年度引用學(xué)科排名
書目名稱Artificial Intelligence in Cardiothoracic Imaging讀者反饋
書目名稱Artificial Intelligence in Cardiothoracic Imaging讀者反饋學(xué)科排名
作者: 無彈性 時間: 2025-3-21 23:47 作者: EXPEL 時間: 2025-3-22 01:51
Artificial Intelligence Algorithm Development for Biomedical Imagingion into the field of medicine. One of the fields that receive a lot of attention is cardiovascular imaging. The application of AI in cardiovascular imaging can vary from anatomy and pathology segmentation to the prediction of major adverse cardiac events (MACE) and the generation of synthetic imagi作者: gruelling 時間: 2025-3-22 04:44 作者: 浸軟 時間: 2025-3-22 12:12 作者: 過份 時間: 2025-3-22 13:51 作者: 啤酒 時間: 2025-3-22 18:33 作者: 整體 時間: 2025-3-23 01:01
Biobanks and Artificial Intelligenceealthcare problems. Although these AI-based technologies are still new, biobanks will play a crucial role as a source of data for realisation of their full potentials. The data analysis and exploration made possible with the biobank data is a consequence of having digitised healthcare information. C作者: 根除 時間: 2025-3-23 02:44 作者: Adrenal-Glands 時間: 2025-3-23 08:27
Structured Reporting in Medical Imaging: The Role of Artificial Intelligence. Specifically, within cardiothoracic imaging, there are several notable structured reporting systems that include Lung Reporting and Data System (Lung-RADS), Coronary Artery Disease Reporting and Data System (CAD-RADS), Thyroid Imaging Reporting and Data System (TI-RADS), Interstitial Lung Disease 作者: 鉤針織物 時間: 2025-3-23 11:40 作者: 高度 時間: 2025-3-23 16:10
Patient Selection and Scan Preparation Optimization: The Role of Artificial Intelligence been developed so far with the aim to support patient selection and scan preparation. However, there are several possibilities where AI may improve clinical decision support systems for image ordering, patient scheduling, protocoling, and patient positioning due to its capability to analyze complex作者: RLS898 時間: 2025-3-23 19:25 作者: 千篇一律 時間: 2025-3-23 23:42
Artificial Intelligence-Based Image Reconstruction in Cardiac Magnetic Resonance reconstruction to disease diagnosis and treatment. Particularly, in recent years, there has been a significant growth in the use of AI and ML algorithms, especially deep learning (DL)-based methods, for medical image reconstruction. DL techniques have shown to be competitive and often superior over作者: Connotation 時間: 2025-3-24 06:24 作者: fastness 時間: 2025-3-24 09:37
Artificial Intelligence-Based Contrast Medium OptimizationIn many hospitals around the world, CM is still used in a “one-size-fits-all” fashion, usually with a “safety margin” regarding CM volume, guaranteeing sufficient enhancement even in the heavier patient. The primary reason for using standard protocols instead of optimising CM for individual patients作者: conceal 時間: 2025-3-24 11:59 作者: Ointment 時間: 2025-3-24 15:50
https://doi.org/10.1007/978-3-540-73776-6 attention is paid to these steps and a multidisciplinary team of healthcare professionals, data scientists, and AI engineers is employed in the process of AI development and validation, promising results can be observed that could improve treatment and have a major impact on both patient and healthcare professional.作者: 免除責(zé)任 時間: 2025-3-24 21:51 作者: Cholagogue 時間: 2025-3-25 02:05 作者: DIS 時間: 2025-3-25 07:07 作者: Obloquy 時間: 2025-3-25 08:02 作者: Pillory 時間: 2025-3-25 12:50 作者: 雜役 時間: 2025-3-25 19:36 作者: 鍵琴 時間: 2025-3-25 22:16
Fallsammlung zum Strafprozessrechtology artificial intelligence. Deep learning methods have led to many exciting breakthroughs in radiological image analysis, and having an understanding of what these methods entail can benefit the interested radiologist.作者: Reservation 時間: 2025-3-26 03:20
Wer zuerst kommt, mahlt zuerst,ystems. The training of machine learning algorithms requires enormous amounts of data, and structured reports can be a great source for data mining. Structured reporting is an invaluable platform for the emerging integration of artificial intelligence (AI) in medical imaging.作者: 敬禮 時間: 2025-3-26 05:54
,Die Gro?stadt als Ort der Apokalypse,quisition and reconstruction. We discuss these new challenges and provide insights in advanced topics and future opportunities. Throughout the chapter, we outline important applications of deep learning enhancement and reconstruction for static and dynamic applications.作者: neutralize 時間: 2025-3-26 09:10
Demystifying Artificial Intelligence Technology in Cardiothoracic Imaging: The Essentialsology artificial intelligence. Deep learning methods have led to many exciting breakthroughs in radiological image analysis, and having an understanding of what these methods entail can benefit the interested radiologist.作者: ingenue 時間: 2025-3-26 13:17
Structured Reporting in Medical Imaging: The Role of Artificial Intelligenceystems. The training of machine learning algorithms requires enormous amounts of data, and structured reports can be a great source for data mining. Structured reporting is an invaluable platform for the emerging integration of artificial intelligence (AI) in medical imaging.作者: 背帶 時間: 2025-3-26 19:45
Artificial Intelligence for Image Enhancement and Reconstruction in Magnetic Resonance Imagingquisition and reconstruction. We discuss these new challenges and provide insights in advanced topics and future opportunities. Throughout the chapter, we outline important applications of deep learning enhancement and reconstruction for static and dynamic applications.作者: nerve-sparing 時間: 2025-3-26 22:32 作者: 災(zāi)禍 時間: 2025-3-27 03:36
Radiomics: Technical Backgroundigh diagnostic and prognostic potential. This chapter gives an overview over the rationale behind radiomics and its technical foundations, with a focus on explaining the computation of various radiomic feature matrices.作者: 只有 時間: 2025-3-27 07:59 作者: 忍受 時間: 2025-3-27 13:05
Artificial Intelligence: Clinical Relevance and Workflow can impact multiple stages of the imaging experience of a patient, ranging from the initial clinical decision to order creation to the final interpretation. The purpose of this chapter is to review some of the potential workflow of AI applications.作者: 改進(jìn) 時間: 2025-3-27 17:01 作者: Costume 時間: 2025-3-27 18:42 作者: wangle 時間: 2025-3-28 01:28 作者: 上下連貫 時間: 2025-3-28 05:48 作者: PUT 時間: 2025-3-28 07:59
https://doi.org/10.1007/3-540-27668-8review the traditional and emerging data paradigms and their associated data analysis paradigms with special emphasis on the fields of biostatistics and machine learning. We briefly summarize motivations and questions of interest for both analytic views and point out the important potential for cross fertilization between the two.作者: Asymptomatic 時間: 2025-3-28 13:45
,Die Best?ndigkeit der Erinnerung, can impact multiple stages of the imaging experience of a patient, ranging from the initial clinical decision to order creation to the final interpretation. The purpose of this chapter is to review some of the potential workflow of AI applications.作者: 食物 時間: 2025-3-28 14:51 作者: 少量 時間: 2025-3-28 19:56
https://doi.org/10.1007/3-540-27668-8nefits in terms of radiation optimization are not limited to image reconstruction but are also exploitable in the clinical workflow optimization, through improvements in patient positioning and image acquisition. This chapter will discuss strengths and limitation of AI in CT radiation dose optimization.作者: 憤怒事實 時間: 2025-3-29 02:32 作者: hypnotic 時間: 2025-3-29 06:20
2626-6431 clinical practice for cardiothoracic imaging. The book contains chapters focused on cardiac and thoracic applications as well more general topics on the potentials and pitfalls of AI in medical imaging. Separat978-3-030-92089-0978-3-030-92087-6Series ISSN 2626-6431 Series E-ISSN 2626-6423 作者: 吞下 時間: 2025-3-29 07:17
Uwe Hellmann,Katharina Bansmann,Diana Stagesults such as the defeat of Garry Kasparov in a chess match and the ability to autonomously drive a car. AI is being implemented in multiple areas, including medicine and more importantly medical imaging. Throughout the years, software that can support physicians in making diagnosis, select optimal 作者: 龍蝦 時間: 2025-3-29 12:04 作者: Bricklayer 時間: 2025-3-29 17:59
Wer zuerst kommt, mahlt zuerst,n supervised DL methods for the application, including image post-processing techniques, model-driven approaches and .-space-based methods. Current limitations, challenges and future opportunities of DL for cardiac image reconstruction are also discussed.作者: invert 時間: 2025-3-29 21:42
Wer zuerst kommt, mahlt zuerst,r more comprehensive image. Here, we explore different applications of AI, DL, and NNs that address each of these two categories, various subcategories, and the specific approaches to solving their problem at hand.作者: 征服 時間: 2025-3-30 02:37 作者: frivolous 時間: 2025-3-30 04:14
Book 2022at provides a complete overview of the entire process of the development and use of AI in clinical practice for cardiothoracic imaging. The book contains chapters focused on cardiac and thoracic applications as well more general topics on the potentials and pitfalls of AI in medical imaging. Separat作者: headway 時間: 2025-3-30 08:12 作者: grandiose 時間: 2025-3-30 12:48
Biobanks and Artificial Intelligencelated to image segmentation, image quality control, disease classification, cardiovascular risk prediction and many others. While AI-based techniques have been used to tackle complex tasks using data from biobanks, several challenges still exist including, for instance, developing solutions generali作者: Cerebrovascular 時間: 2025-3-30 19:10 作者: Detonate 時間: 2025-3-30 22:37 作者: Incisor 時間: 2025-3-31 03:26 作者: 圓錐 時間: 2025-3-31 06:50
Uwe Hellmann,Katharina Bansmann,Diana Stageheorizing that in order to be considered intelligent, a machine should be able to imitate human behavior so as to be indistinguishable from human themselves. In the same period, McCulloch and Pitts first introduced a prototype of neural networks. It was in 1955 at the Dartmouth Conference that the t作者: 咽下 時間: 2025-3-31 10:50 作者: 向下 時間: 2025-3-31 15:44
