標題: Titlebook: Medical Imaging and Computer-Aided Diagnosis; Proceeding of 2020 I Ruidan Su,Han Liu Conference proceedings 2020 Springer Nature Singapore [打印本頁] 作者: 無法仿效 時間: 2025-3-21 18:51
書目名稱Medical Imaging and Computer-Aided Diagnosis影響因子(影響力)
書目名稱Medical Imaging and Computer-Aided Diagnosis影響因子(影響力)學科排名
書目名稱Medical Imaging and Computer-Aided Diagnosis網絡公開度
書目名稱Medical Imaging and Computer-Aided Diagnosis網絡公開度學科排名
書目名稱Medical Imaging and Computer-Aided Diagnosis被引頻次
書目名稱Medical Imaging and Computer-Aided Diagnosis被引頻次學科排名
書目名稱Medical Imaging and Computer-Aided Diagnosis年度引用
書目名稱Medical Imaging and Computer-Aided Diagnosis年度引用學科排名
書目名稱Medical Imaging and Computer-Aided Diagnosis讀者反饋
書目名稱Medical Imaging and Computer-Aided Diagnosis讀者反饋學科排名
作者: biosphere 時間: 2025-3-21 23:36 作者: 煩擾 時間: 2025-3-22 03:02
Deep Learning for Mental Illness Detection Using Brain SPECT Imaging,the brain. The data consists in scans from patients with attention deficit hyperactivity disorder (ADHD), major depressive disorder (MDD) and obsessive compulsive disorder (OCD), plus scans of healthy brains. We focus here on the application of a deep convolutional neural network (CNN). The main cha作者: FECK 時間: 2025-3-22 08:01 作者: 沒有希望 時間: 2025-3-22 10:35
Improved Brain Tumor Segmentation and Diagnosis Using an SVM-Based Classifier,thods of various diseases. Machine Learning has advanced so much and provides benefits like enhanced efficiency and fast decision making which prove to be crucial in the field of medical diagnosis. One of the highly deemed research fields which happen to be greatly affected by this advance is the fi作者: 神圣不可 時間: 2025-3-22 14:13 作者: 壓艙物 時間: 2025-3-22 20:54 作者: 系列 時間: 2025-3-22 22:50
Segment Medical Image Using U-Net Combining Recurrent Residuals and Attention, medical image segmentation technology not only affects the development of other related technologies in medical image processing, such as visualization 3D reconstruction, but in the analysis of biomedical images also occupies an extremely important position. With the application of deep learning al作者: 媽媽不開心 時間: 2025-3-23 01:33 作者: 不可磨滅 時間: 2025-3-23 08:03 作者: 排名真古怪 時間: 2025-3-23 10:15
A Novel Classification Method of Medical Image Segmentation Algorithm,he means to solve the problem of medical image segmentation but also makes the algorithm classification and summary urgent. At present, a variety of classification methods are mostly based on the characteristics of the algorithm itself. If the classification principle of the algorithm is determined 作者: ASSET 時間: 2025-3-23 14:29 作者: fatty-acids 時間: 2025-3-23 18:48
Optical Micro-scanning Reconstruction Technique for a Thermal Microscope Imaging System,ts that need detailed thermal analysis. Due to the mechanical preparation of the system, working vibration, external environment and other factors of interference, which will affect the precision of the micro-scanning system, Causing the micro-displacement of the four images acquired by the system d作者: 晚來的提名 時間: 2025-3-23 22:57
A Survey for Traditional, Cascaded Regression, and Deep Learning-Based Face Alignment,solve the face alignment problems. These methods are classified into three categories: traditional algorithms, cascade based on regression algorithm and deep learning-based algorithm. There are still some problems existing that processing of large pose and small pose, processing of different angles 作者: CLOUT 時間: 2025-3-24 02:44
Automatic Detection and Counting of Malaria Parasite-Infected Blood Cells,ural network and a feature- based counting process. Current approaches for object detection or counting often rely on prior knowledge of certain salient features of the to-be-identified objects or require time-consuming pre-processing. For this reason, many detection problems, for example infected c作者: Frequency-Range 時間: 2025-3-24 09:53 作者: 催眠藥 時間: 2025-3-24 12:07
Performance Analysis of Different 2D and 3D CNN Model for Liver Semantic Segmentation: A Review, on abdominal Magnetic Resonance Imaging (MRI) and Computer Tomography (CT) volume images, specifically liver segmentation has a lot of contribution towards clinical decision making for patient treatment. Apart from the many state-of-the-art methods, different cutting-edge deep learning architecture作者: 有害 時間: 2025-3-24 17:17 作者: Benign 時間: 2025-3-24 19:20 作者: Cantankerous 時間: 2025-3-25 02:13 作者: Mosaic 時間: 2025-3-25 05:16
Mei-Jing Gao,Zhu Liu,Liu-Zhu Wang,Bo-Zhi Zhang,Shi-Yu Libility of running industrial production codes in parallel on workstation clusters is studied. In this paper we report on the experiences with two such codes..A production code for numerical solution of the stationary Euler and Navier-Stokes equations for compressible flow in three space dimensions, 作者: Cursory 時間: 2025-3-25 11:04 作者: entice 時間: 2025-3-25 14:45 作者: intangibility 時間: 2025-3-25 16:06
Ahmed Rasheed,Muhammad Shahzad Younis,Muhammad Bilal,Maha Rasheedomputations are required. A speculative computation will eventually become mandatory (i.e. required) or irrelevant (i.e. not required). In the absence of side effects irrelevant computations may be aborted. However, with side effects a computation which is irrelevant for the value it produces may st作者: 王得到 時間: 2025-3-25 23:41 作者: intoxicate 時間: 2025-3-26 01:48
Minghuan Zhang,Wenjian Liu,Xuan Zhang,Ying Chen,Yajia Gu,Qin Xiaoomputations are required. A speculative computation will eventually become mandatory (i.e. required) or irrelevant (i.e. not required). In the absence of side effects irrelevant computations may be aborted. However, with side effects a computation which is irrelevant for the value it produces may st作者: 錢財 時間: 2025-3-26 05:26 作者: 截斷 時間: 2025-3-26 08:46
A New Importance-Performance Analysis by Size-Insensitive Integrity-Based Fuzzy C-Means,Importance-Performance Analysis by Size-Insensitive Integrity-based Fuzzy C-Means is proposed. From the empirical results, the new IPA by Size-Insensitive Integrity-based Fuzzy C-Means is plain and simple, successful, and easy to know.作者: 思想 時間: 2025-3-26 14:33
A Survey for Traditional, Cascaded Regression, and Deep Learning-Based Face Alignment,nd deep learning-based algorithm. There are still some problems existing that processing of large pose and small pose, processing of different angles and facial occlusion. The experiment results of three categories of algorithms are summarized in this paper.作者: CLAP 時間: 2025-3-26 17:45 作者: hair-bulb 時間: 2025-3-26 22:58
Sparse Representation Label Fusion Method Combining Pixel Grayscale Weight for Brain MR Segmentatioe also compared our methods with commonly used automatic segmentation tools and state-of-the-art methods, and the average Dice similarity coefficient (Dsc) of the subcutaneous tissues obtained by our method was significantly higher than that of the automatic segmentation tools and state-of-the-art methods.作者: 我要沮喪 時間: 2025-3-27 04:33 作者: Nucleate 時間: 2025-3-27 08:20
Fusion Segmentation of Head Medical Image with Partially Annotated Data,n only one model, and we have proved that it outperforms the baseline method. To some extent, using partially annotated medical image datasets can help to solve the problem that the scarce source of professionally annotated medical image data. What’s more, the proposed method will achieve better performance.作者: 蕁麻 時間: 2025-3-27 13:06 作者: 殘酷的地方 時間: 2025-3-27 17:09 作者: Hallowed 時間: 2025-3-27 21:51
A Novel Classification Method of Medical Image Segmentation Algorithm,more in line with people’s intuitive feelings. Using this new segmentation principle to classify medical image segmentation algorithms is helpful to clarify the relationship between various algorithms.作者: NAIVE 時間: 2025-3-28 01:45 作者: fetter 時間: 2025-3-28 04:06
A Biomedical Survey on Osteoporosis Classification Techniques,ation, Invasive Techniques, and Biosensors Classification. Authors in this study attempted to explain the direction of future studies in the field of Osteoporosis diagnosis by presenting an accurate classification of Osteoporosis diagnostic techniques. Finally the role of stress and bone displacement in osteoporosis is simulated.作者: Hallowed 時間: 2025-3-28 08:37 作者: ellagic-acid 時間: 2025-3-28 14:04
Conference proceedings 2020and valuable resource for researchers involved in image formation, experimental methods, image performance, segmentation, pattern recognition, feature extraction, classifier design, machine learning / deep learning, radiomics, CAD workstation design, human–computer interaction, databases, and performance evaluation.? .作者: HPA533 時間: 2025-3-28 18:31 作者: 注入 時間: 2025-3-28 21:04 作者: SENT 時間: 2025-3-29 00:58 作者: 胎兒 時間: 2025-3-29 04:22 作者: STRIA 時間: 2025-3-29 08:16 作者: 多產魚 時間: 2025-3-29 12:11
Xiaodong He,Yu Fu,Yingqiu Bao,Jianmin Chang,Yibo Xie,Weiping Li,Jing Zhangn the current pose, that are more compatible with a real-time context, and emphasize that their convergence and robustness is an important issue. Finally we will investigate the influence of additional sensory information on the direct kinematics.作者: orient 時間: 2025-3-29 19:16 作者: 愛好 時間: 2025-3-29 20:41 作者: Pepsin 時間: 2025-3-30 02:38
Sergey A. Eolchiyan,Mikhail M. Novikov,Svetlana A. Cherebylo作者: 滔滔不絕地說 時間: 2025-3-30 04:04
Felisa J. Vázquez-Abad,Silvano Bernabel,Daniel Dufresne,Rishi Sood,Thomas Ward,Daniel Amen作者: HPA533 時間: 2025-3-30 08:40 作者: CHOKE 時間: 2025-3-30 14:55
Zahra Amiri,Fatemeh Tavakoli,Vala Mehryar Alviri,Morteza Modarresi Asem作者: 不如樂死去 時間: 2025-3-30 17:08 作者: 希望 時間: 2025-3-31 00:03 作者: 柱廊 時間: 2025-3-31 01:10
Mei-Jing Gao,Zhu Liu,Liu-Zhu Wang,Bo-Zhi Zhang,Shi-Yu Lihe SAAB code is run on a single grid we reach 0.64 of the speed of one CRAY Y-MP processor by using eigth SGI R4000 workstations. At Volvo Flygmotor, speedup factors 2.5 and 9.7, as compared to the one processor case, are obtained for moderate size problems run on networks of three HP 9000-735 and twelve SGI R4000, respectively.作者: 松雞 時間: 2025-3-31 07:30 作者: aviator 時間: 2025-3-31 09:12
Elena Doering,Anna Pukropski,Ulf Krumnack,Axel Schaffandhe SAAB code is run on a single grid we reach 0.64 of the speed of one CRAY Y-MP processor by using eigth SGI R4000 workstations. At Volvo Flygmotor, speedup factors 2.5 and 9.7, as compared to the one processor case, are obtained for moderate size problems run on networks of three HP 9000-735 and twelve SGI R4000, respectively.作者: 擦掉 時間: 2025-3-31 16:02 作者: 動作謎 時間: 2025-3-31 17:45 作者: arthroplasty 時間: 2025-3-31 23:31 作者: 奴才 時間: 2025-4-1 02:46
Deep Learning for Mental Illness Detection Using Brain SPECT Imaging,th a preassigned statistical confidence level; the “Amber Zone” is an ambiguous outcome, where the scan is assigned a likelihood of having the condition. This information is then passed to the doctors for further analysis of patients.作者: installment 時間: 2025-4-1 06:15
Vessel Segmentation and Stenosis Quantification from Coronary X-Ray Angiograms,aph software can provide a graphic containing on the X axis the vessel segment length and on Y axis its corresponding cross-sectional areas. More objectively, the percentage of area stenosis can be computed.作者: 惡名聲 時間: 2025-4-1 12:57
