作者: collagen 時間: 2025-3-22 00:03
https://doi.org/10.1007/978-981-16-4023-0similar to the target domain for domain adaptation. Compared to the ‘source-target pair’ domain adaptation method using all source domains, this method improves accuracy by up to 10. and reduces computation time by up to 43., based on the SEED-III and SEED-IV datasets.作者: cloture 時間: 2025-3-22 03:41
,Conditional Domain Adaptation Based on?Initial Distribution Discrepancy for?EEG Emotion Recognitionsimilar to the target domain for domain adaptation. Compared to the ‘source-target pair’ domain adaptation method using all source domains, this method improves accuracy by up to 10. and reduces computation time by up to 43., based on the SEED-III and SEED-IV datasets.作者: Hallowed 時間: 2025-3-22 06:39 作者: dominant 時間: 2025-3-22 09:52
Rural Latin America in Transitionhich can extract discriminative features from radio-frequency (RF) signals generated from QUS. Compared with the conventional QUS method using SOS, experimental results indicate that our proposed method achieves superior performance, which can be beneficial to the osteoporosis screening.作者: ARCH 時間: 2025-3-22 14:59 作者: ARCH 時間: 2025-3-22 18:15
https://doi.org/10.1007/978-981-16-4023-0meters that aid in monitoring ocular and cardiovascular diseases. The results on the given data are comparable to the performance of a trained expert and the methods are already being used in clinical practice.作者: 充氣女 時間: 2025-3-22 22:27 作者: 不規(guī)則的跳動 時間: 2025-3-23 05:12
,Convolutional Redistribution Network for?Multi-view Medical Image Diagnosis,acts essential information from multi-view data to generate a series of “good and diverse” pseudo views for integration. The experiment results show that proposed model achieves good performance on pancreatic tumor classification task as well as the OrganMNIST3D classification task of the MedMNIST public datasets.作者: 蘆筍 時間: 2025-3-23 08:42 作者: 錯 時間: 2025-3-23 13:02
0302-9743 ocus on the applicability of basic research methods in the clinical practice by creating holistic patient models as an important step towards personalized healthcare.?.978-3-031-23178-0978-3-031-23179-7Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: Adrenaline 時間: 2025-3-23 15:49
Conference proceedings 202322, in Singapore in September 2022.?The 9 full papers included in this book were carefully reviewed and selected from 12 submissions. They focus on the applicability of basic research methods in the clinical practice by creating holistic patient models as an important step towards personalized healthcare.?.作者: 無能力之人 時間: 2025-3-23 20:30
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/c/image/228004.jpg作者: hypertension 時間: 2025-3-24 01:07
Clinical Image-Based Procedures978-3-031-23179-7Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: 平靜生活 時間: 2025-3-24 05:31 作者: incite 時間: 2025-3-24 08:21 作者: intellect 時間: 2025-3-24 13:54
Mexico in the New Emerging World Orderdied in preoperative settings. In intraoperative imaging, the utility of DRRs is limited by the challenges in generating them in real-time and supporting optimization procedures that rely on repeated DRR synthesis. While immense progress has been made in accelerating the generation of DRRs through a作者: Foregery 時間: 2025-3-24 17:53 作者: Cleave 時間: 2025-3-24 20:38
Rural Latin America in Transition been a lot of medical research in the field to detect joint inflammation utilising NIR-FOI, an objective machine learning based evaluation method of the image data has not been developed, yet..The measured NIR-FOI data consists of two spatial dimensions (image pixel) and one temporal dimension. To 作者: 講個故事逗他 時間: 2025-3-25 01:59
Rural Latin America in Transitiond allowed for efficient workflows in clinical settings. Accurate automatic identification of dental landmarks in IOS is required to aid dental researchers and clinicians to plan and assess tooth position for crown restorations, orthodontics movements, and/or implant dentistry. In this paper, we pres作者: hegemony 時間: 2025-3-25 07:17 作者: majestic 時間: 2025-3-25 07:58 作者: 阻撓 時間: 2025-3-25 14:04
https://doi.org/10.1007/978-981-16-4023-0ment of dental caries are crucial to dental health. According to the depth of carious lesions, dental caries can be classified into shallow, moderate, and deep caries. Among them, the accurate classification of moderate caries and deep caries is important to making the subsequent treatment plan. Cli作者: intrude 時間: 2025-3-25 17:04
https://doi.org/10.1007/978-981-16-4023-0tation strategy based on initial distribution differences for EEG emotion recognition is proposed, which selects several source domains that are most similar to the target domain for domain adaptation. Compared to the ‘source-target pair’ domain adaptation method using all source domains, this metho作者: Decibel 時間: 2025-3-25 22:32
https://doi.org/10.1007/978-981-16-4023-0on Module (HMM) images strongly resemble AO images and can be acquired fast and cost-effectly in clinical routine. Manual examination of those images, however, is tedious and time-consuming. Therefore, methods are needed to automatically analyse HMM images to facilitate the work of ophthalmologists.作者: 厚臉皮 時間: 2025-3-26 01:01
Yufei Chen,Marius George Linguraru,Cristina Oyarzu作者: IRATE 時間: 2025-3-26 05:42 作者: commute 時間: 2025-3-26 12:31
Rural Latin America in Transitionl is trained to evaluate the severity and time point of possible motion..The model for the first phase achieves a precision of 20.78?% and a recall of 69.57?%, while the model for the second phase reaches a precision of 67.71?% and a recall of 98.49?% to detect non-negligible motion. Despite low pre作者: Organonitrile 時間: 2025-3-26 12:55
Rural Latin America in Transitiondering engine to capture 2D views of the dental arches from different viewpoints as well as the target 3D patches at the location of the landmarks. The ALIIOS algorithm synthesizes these 3D patches with a U-Net and allows accurate placement of the landmarks on the surface of each dental crown. Our r作者: 不要嚴(yán)酷 時間: 2025-3-26 17:00
https://doi.org/10.1007/978-981-15-6349-2ets the loss contextual information by fusing the feature map of the upper decoder. Also, the framework first resamples the input to a fixed size to implement training and up-sample to original size by customized post-processing at output stage. Compared with other related segmentation networks, the作者: Eclampsia 時間: 2025-3-26 22:18
https://doi.org/10.1007/978-981-16-4023-0paper, we propose a feature patch based attention model to improve the classification accuracy of dental caries in CBCT images. We extract overlapping patches from the 3D feature maps and assign every patch with a corresponding weight computed by adaptive learning to achieve automatic screening of r作者: 熱情贊揚(yáng) 時間: 2025-3-27 01:36
,Fast Auto-differentiable Digitally Reconstructed Radiographs for?Solving Inverse Problems in?Intraoemented this vectorized version of Siddon’s method in PyTorch, taking advantage of the library’s strong automatic differentiation engine to make this DRR generator fully differentiable with respect to its parameters. Additionally, using GPU-accelerated tensor computation enables our vectorized imple作者: 河潭 時間: 2025-3-27 08:53
,Machine Learning Based Approach for?Motion Detection and?Estimation in?Routinely Acquired Low Resoll is trained to evaluate the severity and time point of possible motion..The model for the first phase achieves a precision of 20.78?% and a recall of 69.57?%, while the model for the second phase reaches a precision of 67.71?% and a recall of 98.49?% to detect non-negligible motion. Despite low pre作者: 大量殺死 時間: 2025-3-27 11:42 作者: 健談 時間: 2025-3-27 15:20
,STAU-Net: A Spatial Structure Attention Network for?3D Coronary Artery Segmentation,ets the loss contextual information by fusing the feature map of the upper decoder. Also, the framework first resamples the input to a fixed size to implement training and up-sample to original size by customized post-processing at output stage. Compared with other related segmentation networks, the作者: MIRTH 時間: 2025-3-27 18:06
,Feature Patch Based Attention Model for?Dental Caries Classification,paper, we propose a feature patch based attention model to improve the classification accuracy of dental caries in CBCT images. We extract overlapping patches from the 3D feature maps and assign every patch with a corresponding weight computed by adaptive learning to achieve automatic screening of r作者: 慢跑 時間: 2025-3-27 22:09 作者: 捕鯨魚叉 時間: 2025-3-28 05:04 作者: Asparagus 時間: 2025-3-28 07:39 作者: 勉勵 時間: 2025-3-28 10:57 作者: cleaver 時間: 2025-3-28 17:27 作者: 是他笨 時間: 2025-3-28 20:34 作者: 古文字學(xué) 時間: 2025-3-29 02:11
,Feature Patch Based Attention Model for?Dental Caries Classification,ment of dental caries are crucial to dental health. According to the depth of carious lesions, dental caries can be classified into shallow, moderate, and deep caries. Among them, the accurate classification of moderate caries and deep caries is important to making the subsequent treatment plan. Cli作者: connoisseur 時間: 2025-3-29 03:44
,Conditional Domain Adaptation Based on?Initial Distribution Discrepancy for?EEG Emotion Recognitiontation strategy based on initial distribution differences for EEG emotion recognition is proposed, which selects several source domains that are most similar to the target domain for domain adaptation. Compared to the ‘source-target pair’ domain adaptation method using all source domains, this metho作者: linguistics 時間: 2025-3-29 08:34
