標題: Titlebook: Advances in Intelligent Disease Diagnosis and Treatment; Research Papers in H Chee-Peng Lim,Ashlesha Vaidya,Lakhmi C. Jain Book 2024 The Ed [打印本頁] 作者: 轉(zhuǎn)變 時間: 2025-3-21 17:06
書目名稱Advances in Intelligent Disease Diagnosis and Treatment影響因子(影響力)
書目名稱Advances in Intelligent Disease Diagnosis and Treatment影響因子(影響力)學科排名
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書目名稱Advances in Intelligent Disease Diagnosis and Treatment網(wǎng)絡公開度學科排名
書目名稱Advances in Intelligent Disease Diagnosis and Treatment被引頻次
書目名稱Advances in Intelligent Disease Diagnosis and Treatment被引頻次學科排名
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書目名稱Advances in Intelligent Disease Diagnosis and Treatment年度引用學科排名
書目名稱Advances in Intelligent Disease Diagnosis and Treatment讀者反饋
書目名稱Advances in Intelligent Disease Diagnosis and Treatment讀者反饋學科排名
作者: 青少年 時間: 2025-3-21 22:22
Die wohlfahrts?konomische Referenzweltghbourhood component analysis to obtain the most significant features for the training data. The proposed system performance is then compared with standard active-learning, self-training, and baseline systems. The results proved that the proposed system can classify unlabelled data with an automated作者: Traumatic-Grief 時間: 2025-3-22 01:23
Die wohlfahrts?konomische Referenzweltmain requests of medical specialists are taken into account. The work shows that based on the developed methodology 3D modeling of brain tumor MRI data from a set of 2D images (DICOM) provide realistic visualization.作者: EXALT 時間: 2025-3-22 06:06
https://doi.org/10.1007/978-3-663-07250-8ion, a framework which realizes a series of medical imaging analysis for medical professionals in clinics is proposed as the utilization of our Adaptive DBN model, from collecting data to model training, inference, and re-training for new data.作者: 閑聊 時間: 2025-3-22 11:10
Einige Literatur über Nachbargebietemploys a pruning approach, where a pre-trained network is trimmed in an early convolutional block and connected to custom classifier layer. Additionally, the layers to be fine-tuned are optimally selected. Thus, this process reduces the number of transferred layers and trainable parameters. The prop作者: amenity 時間: 2025-3-22 13:38 作者: Radiculopathy 時間: 2025-3-22 17:45 作者: Monotonous 時間: 2025-3-22 23:32 作者: Cocker 時間: 2025-3-23 03:38
https://doi.org/10.1007/b137045ck of training data and the domain shift issue, domain adaptation-based methods have emerged as a viable solution to reduce the domain gap across datasets with distinct feature characteristics and data distributions. In this chapter, we discuss domain adaptation-based techniques for liver tumor dete作者: 接觸 時間: 2025-3-23 05:58 作者: 認為 時間: 2025-3-23 11:31 作者: Vertical 時間: 2025-3-23 16:52
Images Processing and Visualization of Brain Tumors,main requests of medical specialists are taken into account. The work shows that based on the developed methodology 3D modeling of brain tumor MRI data from a set of 2D images (DICOM) provide realistic visualization.作者: circumvent 時間: 2025-3-23 19:57
3D Lung Tumor Segmentation System Using Adaptive Structural Deep Belief Network,ion, a framework which realizes a series of medical imaging analysis for medical professionals in clinics is proposed as the utilization of our Adaptive DBN model, from collecting data to model training, inference, and re-training for new data.作者: promote 時間: 2025-3-24 01:39 作者: 沒收 時間: 2025-3-24 04:54
Forward Nonlinear Model for Deep Learning of EEG Auditory Attention Detection in Cocktail Party Problem, they have some inherent limitations. The main objective of this contribution is to show that nonlinear modeling of speech-electroencephalography system ensures the best performance in terms of higher correlation between stimulus and neural response, thus proving the limitations of linear appro作者: glisten 時間: 2025-3-24 09:46
Computational Intelligence Based Modelling of Polyneuropathy Diagnosis,o Intensity in diagnosing specific PNP types. The work contributes to data analysis and medical knowledge, providing valuable insights for informed decision-making in the polyneuropathy diagnostic process. Future research avenues include refining data preprocessing and exploring the cost implication作者: UTTER 時間: 2025-3-24 13:16 作者: Nefarious 時間: 2025-3-24 18:52 作者: 摘要記錄 時間: 2025-3-24 19:40
Decision Support System for Skin Lesion Diagnosis Using Deep Learning, full-supervised deep learning procedure with small scale of labeled training samples. Benefitting from the maintained knowledge in the pretrained network, the finally constructed model even with a limited number of annotated samples, can be expected to produce promising classification performance. 作者: 變化無常 時間: 2025-3-25 03:08 作者: 完成 時間: 2025-3-25 05:32 作者: 顯赫的人 時間: 2025-3-25 08:26
Book 2024of a variety of AI and related methodologies to address specific medical challenges. From detecting pancreatic cancer, classifying micro-emboli in stroke diagnosis, to segmenting brain tumours from MRI data, and more, the culmination of these studies underscores the transformative impact AI and digi作者: 容易做 時間: 2025-3-25 14:23
1868-4394 ing populations using the recently evolved artificial intell.The book delves into innovations in AI and related computing paradigms for disease detection and diagnosis. The collected chapters elucidate the use of a variety of AI and related methodologies to address specific medical challenges. From 作者: 忍受 時間: 2025-3-25 19:19 作者: GAVEL 時間: 2025-3-25 21:08 作者: apiary 時間: 2025-3-26 00:27 作者: NOVA 時間: 2025-3-26 06:00
Boundary Detection of Incomplete Shapes in Breast Thermal Images Using Statistical Shape Modeling,ast in lateral left and right thermal images. This model is later used for the segmentation of the breast. The proposed technique effectively defined the organ‘s boundary using some manual landmarks. An automatic scheme defined the border of the breast as well. The proposed approach was successful in the segmentation of incomplete shapes, too.作者: Visual-Acuity 時間: 2025-3-26 11:43 作者: SPER 時間: 2025-3-26 15:00
Grundzüge der Finanzwissenschaft and late-stage detection. This chapter presents a novel approach for pancreatic cancer detection and classification using techniques such as single image super-resolution, image segmentation, image registration based on the region of interests, image fusion, and classification based on global shape作者: 即席 時間: 2025-3-26 18:59
Die wohlfahrts?konomische Referenzweltg blood flow is performed by experts manually using a transcranial Doppler ultrasound device. However, correctly identifying microembolus signals over a long period of time is challenging. Therefore, an automatic microembolus-classification system that can have expert human labelling capabilities is作者: graphy 時間: 2025-3-26 21:33 作者: 顯赫的人 時間: 2025-3-27 02:27 作者: 生命 時間: 2025-3-27 05:26 作者: MOCK 時間: 2025-3-27 12:43
Andere Anwendungen der Funkgeologie,r, elderly people and people suffering for hearing loss struggle to listening under these conditions. Recent studies have confirmed that the listener’s selective attention to the attended speaker can be decoded using recording of brain activity such as ., thus opening new opportunities in developing作者: HERTZ 時間: 2025-3-27 14:34 作者: Acumen 時間: 2025-3-27 20:46
Gentechnik in Medizin und Forschung. Decentralized diagnostics examines the transformative potential of federated learning in the medical imaging field. Federated learning can train models across multiple data nodes without centralized data aggregation, addressing important data privacy issues while optimizing the utilization of wide作者: Essential 時間: 2025-3-28 01:56 作者: MARS 時間: 2025-3-28 02:40
https://doi.org/10.1007/b137045ged as a prominent tool in various computer vision tasks including medical applications, offering promising solutions. However, the utility and scalability of deep learning-based AI systems heavily rely on large quantities of well-annotated training data. The lack of annotated training data poses si作者: 送秋波 時間: 2025-3-28 06:22 作者: 性學院 時間: 2025-3-28 13:21
https://doi.org/10.1007/978-3-031-65640-8Artificial Intelligence; Deep Learning; Intelligent Technology; Assistive Technology; Ageing Populations作者: 卵石 時間: 2025-3-28 18:00 作者: 使熄滅 時間: 2025-3-28 21:25
Recent Advances in Artificial Intelligence in Healthcare,limpse of how things might be. There are numerous successful applications of AI in healthcare reported in the literature but due to space limitations, only a sample of successful applications are presented. A sample of book series, books, conference proceedings and book chapters are listed in the appendix for exploring this field further.作者: Resection 時間: 2025-3-29 02:57
Advances in Intelligent Disease Diagnosis and Treatment978-3-031-65640-8Series ISSN 1868-4394 Series E-ISSN 1868-4408 作者: Spirometry 時間: 2025-3-29 05:05 作者: AMPLE 時間: 2025-3-29 09:23 作者: BALK 時間: 2025-3-29 13:05
Intelligent Systems Reference Libraryhttp://image.papertrans.cn/b/image/167279.jpg作者: 漂白 時間: 2025-3-29 18:05 作者: interior 時間: 2025-3-29 22:56
