標(biāo)題: Titlebook: Advances in Deep Generative Models for Medical Artificial Intelligence; Hazrat Ali,Mubashir Husain Rehmani,Zubair Shah Book 2023 The Edito [打印本頁] 作者: encroach 時(shí)間: 2025-3-21 20:05
書目名稱Advances in Deep Generative Models for Medical Artificial Intelligence影響因子(影響力)
書目名稱Advances in Deep Generative Models for Medical Artificial Intelligence影響因子(影響力)學(xué)科排名
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書目名稱Advances in Deep Generative Models for Medical Artificial Intelligence網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Advances in Deep Generative Models for Medical Artificial Intelligence被引頻次
書目名稱Advances in Deep Generative Models for Medical Artificial Intelligence被引頻次學(xué)科排名
書目名稱Advances in Deep Generative Models for Medical Artificial Intelligence年度引用
書目名稱Advances in Deep Generative Models for Medical Artificial Intelligence年度引用學(xué)科排名
書目名稱Advances in Deep Generative Models for Medical Artificial Intelligence讀者反饋
書目名稱Advances in Deep Generative Models for Medical Artificial Intelligence讀者反饋學(xué)科排名
作者: Onerous 時(shí)間: 2025-3-21 23:43
https://doi.org/10.1007/978-3-319-22819-8d architectures have been developed and put into use to fully take advantage of the contextual information in the spatial dimension of 3D biomedical images. Because of the advancements in deep generative models, various GAN-based models have been designed and implemented by the research community to作者: 清楚說話 時(shí)間: 2025-3-22 01:06 作者: MEAN 時(shí)間: 2025-3-22 06:14 作者: amygdala 時(shí)間: 2025-3-22 11:36 作者: Isometric 時(shí)間: 2025-3-22 15:54
https://doi.org/10.1007/978-3-319-22819-8 to incorporate information about functional dynamics into prediction, which could be vital in many medical applications. Current medical applications of spatiotemporal DL have demonstrated the potential of these models, and recent advancements make this space poised to produce state-of-the-art mode作者: macrophage 時(shí)間: 2025-3-22 19:35 作者: 咒語 時(shí)間: 2025-3-22 21:49
https://doi.org/10.1007/978-3-319-22819-8n the second step, Geodesic Active Contour (GAC), Chan and Vese (C-V), Selective Binary and Gaussian Filtering Regularized Level Set (SBGFRLS), Online Region Active Contour (ORACM) methods were used to segment the ROI regions from the images. The best results in the first two steps were obtained wit作者: 草本植物 時(shí)間: 2025-3-23 02:43
https://doi.org/10.1007/978-3-319-22819-8r vision, plays an important role for several applications. While different methods exist to detect objects that appear in an image, a detailed analysis regarding common object detection is still lacking. This chapter pertains to detect objects that appear in an image with complex backgrounds using 作者: Adornment 時(shí)間: 2025-3-23 09:37 作者: 臨時(shí)抱佛腳 時(shí)間: 2025-3-23 10:18 作者: Innovative 時(shí)間: 2025-3-23 15:14
1860-949X ments in Generative Artificial Intelligence for medical and healthcare applications, using medical imaging and clinical and electronic health records data. Furthermore, the book comprehensively presents the con978-3-031-46343-3978-3-031-46341-9Series ISSN 1860-949X Series E-ISSN 1860-9503 作者: 哥哥噴涌而出 時(shí)間: 2025-3-23 20:14 作者: heterogeneous 時(shí)間: 2025-3-24 01:37 作者: 含鐵 時(shí)間: 2025-3-24 02:53
Evaluating the Quality and Diversity of DCGAN-Based Generatively Synthesized Diabetic Retinopathy I978-3-031-65790-0作者: 巨頭 時(shí)間: 2025-3-24 07:26 作者: intercede 時(shí)間: 2025-3-24 14:11 作者: 玉米 時(shí)間: 2025-3-24 15:16 作者: cloture 時(shí)間: 2025-3-24 20:17
Advances in Deep Generative Models for Medical Artificial Intelligence作者: GLIB 時(shí)間: 2025-3-25 01:37 作者: Liberate 時(shí)間: 2025-3-25 04:50
Advanced Deep Learning for Heart Sounds Classification,nd comedy, and officially recognizing the importance of the field. It will be the go-to resource for students and researchers in philosophy, culture, media and communications, English and history and will act as a springboard to introduce the reader to the other key literature inthe field.978-3-031-24685-2作者: Confound 時(shí)間: 2025-3-25 08:49 作者: 針葉類的樹 時(shí)間: 2025-3-25 14:12 作者: LEVER 時(shí)間: 2025-3-25 18:28 作者: Externalize 時(shí)間: 2025-3-25 22:20
978-3-031-46343-3The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl作者: MAL 時(shí)間: 2025-3-26 00:14
Advances in Deep Generative Models for Medical Artificial Intelligence978-3-031-46341-9Series ISSN 1860-949X Series E-ISSN 1860-9503 作者: 散步 時(shí)間: 2025-3-26 07:43 作者: 空中 時(shí)間: 2025-3-26 09:04
https://doi.org/10.1007/978-3-319-22819-8 has the highest rates of GI cancer. Before the onset of symptoms, routine screening for patients at average risk can help with early identification and treatment. The use of automated technologies by doctors is one technique to enhance diagnosis. Convolutional Neural Network (CNN) models have been 作者: instill 時(shí)間: 2025-3-26 14:43
https://doi.org/10.1007/978-3-319-22819-8tion causes dementia, which cannot be treated. Deep learning techniques have quickly become one of the most essential ways to analyse MRI images in recent times. However, they often require a significant amount of data, and medical data is frequently unavailable. The latest discovery in machine lear作者: Ebct207 時(shí)間: 2025-3-26 20:03
https://doi.org/10.1007/978-3-319-22819-8fitting when training machine learning classifiers. The impact of this imbalance is exacerbated as the severity of the DR stage increases, affecting the classifiers’ diagnostic capacity. The imbalance can be addressed using Generative Adversarial Networks (GANs) to augment the datasets with syntheti作者: 是限制 時(shí)間: 2025-3-26 22:52
https://doi.org/10.1007/978-3-319-22819-8r vision have produced robust deep learning (DL) techniques able to effectively learn complex interactions between space and time for prediction. This chapter presents an overview of different medical applications of spatiotemporal DL for prognostic and diagnostic predictive tasks, and how they buil作者: 友好 時(shí)間: 2025-3-27 02:01
https://doi.org/10.1007/978-3-319-22819-8ives skin its color. Sun exposure to bodily parts is the primary cause of cancer. The formation of a new pigment, changes to an existing mole, or unusual growth on the skin are all indicators of malignancy. A patient with melanoma who receives early detection and treatment has a 99% probability of s作者: IRK 時(shí)間: 2025-3-27 07:48 作者: 威脅你 時(shí)間: 2025-3-27 09:26 作者: tympanometry 時(shí)間: 2025-3-27 16:29
Nicolas Malaquin,Véronique Tu,Francis Rodierd during the process of auscultation, which involves listening to the sounds produced by the heart. Recent research has focused on identifying representative features and patterns from heart signals to precisely detect abnormal heart sounds. Short-time Fourier transforms (STFT) based spectrograms ha作者: 偏離 時(shí)間: 2025-3-27 19:24 作者: 角斗士 時(shí)間: 2025-3-28 01:57 作者: Discrete 時(shí)間: 2025-3-28 02:30 作者: interference 時(shí)間: 2025-3-28 06:57
,Deep Learning Approaches for?End-to-End Modeling of?Medical Spatiotemporal Data,ge from long-standing subjects of debate such as abortion, punishment, and freedom of expression, to more recent controversies such as those over gene editing, military drones, and statues honoring Confederate soldiers. Part I focuses on the criminal justice system, including issues that arise befor作者: 殘廢的火焰 時(shí)間: 2025-3-28 14:28
Advanced Deep Learning for Heart Sounds Classification,ork.Appeals to students looking to bring their favourite popMuch philosophical work on pop culture apologises for its use; using popular culture is a necessary evil, something merely useful for reaching the masses with important philosophical arguments. But works of pop culture are important in thei作者: Ornament 時(shí)間: 2025-3-28 17:19 作者: 挑剔為人 時(shí)間: 2025-3-28 21:34
