標題: Titlebook: Computational Methods and Clinical Applications in Musculoskeletal Imaging; 6th International Wo Toma? Vrtovec,Jianhua Yao,Jose M. Pozo Con [打印本頁] 作者: Osteopenia 時間: 2025-3-21 18:53
書目名稱Computational Methods and Clinical Applications in Musculoskeletal Imaging影響因子(影響力)
書目名稱Computational Methods and Clinical Applications in Musculoskeletal Imaging影響因子(影響力)學科排名
書目名稱Computational Methods and Clinical Applications in Musculoskeletal Imaging網(wǎng)絡(luò)公開度
書目名稱Computational Methods and Clinical Applications in Musculoskeletal Imaging網(wǎng)絡(luò)公開度學科排名
書目名稱Computational Methods and Clinical Applications in Musculoskeletal Imaging被引頻次
書目名稱Computational Methods and Clinical Applications in Musculoskeletal Imaging被引頻次學科排名
書目名稱Computational Methods and Clinical Applications in Musculoskeletal Imaging年度引用
書目名稱Computational Methods and Clinical Applications in Musculoskeletal Imaging年度引用學科排名
書目名稱Computational Methods and Clinical Applications in Musculoskeletal Imaging讀者反饋
書目名稱Computational Methods and Clinical Applications in Musculoskeletal Imaging讀者反饋學科排名
作者: 磨碎 時間: 2025-3-21 21:35
Style in British Television Dramaen with iteratively re-estimated shape models. Preliminary results show that the proposed multi-pass U-net with iterative shape estimation outperforms both 2D and 3D conventional U-nets without the shape model.作者: 恭維 時間: 2025-3-22 02:20
Style in British Television Dramaechanical strain, etc.) can be directly integrated into this surface remodeling force. Remodeling can be naturally restricted around foreign bodies (such as modeling adaptation around a surgical screw). Future work aims to identify the surface remodeling force from longitudinal image data.作者: GRILL 時間: 2025-3-22 07:23
Style in British Television Dramaetected centerlines. We applied our method to CT volumes with an isotropic voxel spacing of 1.5?mm from 113 patients which included a variety of different challenges and achieved a mean centerline accuracy of 0.723?mm with respect to manual centerline annotations. The presented approach can be appli作者: Expostulate 時間: 2025-3-22 11:15 作者: defile 時間: 2025-3-22 13:21
https://doi.org/10.1057/9781137265920xis. From the hip axis, and the line along the sacral endplate and its center, PI is computed. Measurements were performed on X-ray pelvic images from 38 subjects (15 males/23 females; mean age 71.1?years), and statistical analysis of reference manual and fully automated measurements revealed a rela作者: defile 時間: 2025-3-22 18:41
Automated Recognition of Erector Spinae Muscles and Their Skeletal Attachment Region via Deep Learnon on the skeleton. ESM and attached area are extracted manually from the CT images of 11 cases and used for evaluation. In the experiments, automatic recognition was performed for each case using the leave-one-out method. The mean recognition accuracy of ESM and attached area was . and ., respectiv作者: accessory 時間: 2025-3-23 00:06
Pelvis Segmentation Using Multi-pass U-Net and Iterative Shape Estimation,en with iteratively re-estimated shape models. Preliminary results show that the proposed multi-pass U-net with iterative shape estimation outperforms both 2D and 3D conventional U-nets without the shape model.作者: 半球 時間: 2025-3-23 03:11 作者: 木訥 時間: 2025-3-23 09:24 作者: inchoate 時間: 2025-3-23 13:00
Automated Dynamic 3D Ultrasound Assessment of Developmental Dysplasia of the Infant Hip, posterior stress vs. rest as maneuvered during a 3D dynamic assessment. Our findings on 38 hips from 19 infants scanned by one orthopedic surgeon and two radiology technicians suggests the proposed . may provide a good degree of repeatability with an average test-retest intraclass correlation measu作者: Offensive 時間: 2025-3-23 14:22 作者: Mast-Cell 時間: 2025-3-23 19:46
Computational Methods and Clinical Applications in Musculoskeletal Imaging6th International Wo作者: Cirrhosis 時間: 2025-3-23 23:22 作者: aggressor 時間: 2025-3-24 02:55
Sreenidhi Sivakumar,Maitali Khannamn muscles have been found in chronic low back pain, degenerative lumbar sclerosis and chronic obstructive pulmonary disease. However, the image features of the ESM are measured manually by the physician. Therefore, automatic recognition in three dimensions (3D) not only for the limited two-dimensio作者: Externalize 時間: 2025-3-24 08:04 作者: 雕鏤 時間: 2025-3-24 11:50 作者: Orgasm 時間: 2025-3-24 17:09 作者: MAOIS 時間: 2025-3-24 21:31 作者: crescendo 時間: 2025-3-25 03:15
Style in British Television Draman fracture risk. Computational modeling of bone adaptation may provide insight into mitigating aging and preventing disease. In this paper, the adaptation of bone is modeled as a curve evolution problem. Curves can be evolved according to the level set method. The level set method models basic bone 作者: Calibrate 時間: 2025-3-25 07:15 作者: misshapen 時間: 2025-3-25 09:44 作者: Stress-Fracture 時間: 2025-3-25 13:02 作者: 書法 時間: 2025-3-25 16:52
https://doi.org/10.1057/9781137265920 radiographs. The proposed system uses random forest regression voting constrained local model to automatically segment the radius. The resulting automatic annotation is used to register the object across the dataset and crop patches. A CNN is trained on the registered patches for each view separate作者: 細絲 時間: 2025-3-25 23:08
https://doi.org/10.1057/9781137265920one is still an untackled problem. When performing tissue ablation such as bone, an acoustic signal is emitted. This paper presents a numerical framework that takes advantage of this acoustic signal to reconstruct not only the structure of the bone but also estimates the current cut position and dep作者: Spinal-Fusion 時間: 2025-3-26 02:48 作者: 結(jié)合 時間: 2025-3-26 06:49 作者: Angioplasty 時間: 2025-3-26 09:14
Computational Methods and Clinical Applications in Musculoskeletal Imaging978-3-030-11166-3Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: cushion 時間: 2025-3-26 13:53 作者: 臭了生氣 時間: 2025-3-26 18:58 作者: 外露 時間: 2025-3-27 00:34
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/c/image/232694.jpg作者: STING 時間: 2025-3-27 03:37 作者: GRE 時間: 2025-3-27 09:05
0302-9743 culoskeletal Imaging, MSKI 2018, held in conjunction with MICCAI 2018, in Granada, Spain, in September 2018...The 13 workshop papers were carefully reviewed and selected for inclusion in this volume. Topics of interest include all major aspects of musculoskeletal imaging, for example: clinical appli作者: LEVY 時間: 2025-3-27 11:05
Style in British Television Drama regularize the segmentation results obtained from a fully convolutional network. We further introduce a super resolution network to improve the segmentation accuracy. Comprehensive results obtained from 24 patient data demonstrated the effectiveness of the proposed framework.作者: reject 時間: 2025-3-27 13:46 作者: 懸掛 時間: 2025-3-27 18:23 作者: 思想上升 時間: 2025-3-28 00:46 作者: 突襲 時間: 2025-3-28 05:57
https://doi.org/10.1057/9781137265920th. We employ an inverse problems approach to estimate the bone structure followed by an optimal control step to localize the position and depth of the signal source, i.e. the position of the cut. Besides the methodological description we also present numerical simulations in two dimensions with realistic mixed soft- and hard-tissue objects.作者: 迎合 時間: 2025-3-28 07:03 作者: OVER 時間: 2025-3-28 13:39 作者: pacific 時間: 2025-3-28 16:27
Introduction: Enacting Style and Sense(s),h yields the orientation of the plane. The system was trained and evaluated on 27 upper arm CTs. In a 4-fold cross-validation the mean error in estimating the AMP center was .?mm and the angular error for estimating the normal vector was ..作者: 指令 時間: 2025-3-28 21:24
Style in British Television Dramaffected by Perthes disease differs and how this can be used for identifying cases with the disease. Moreover, we present a radiograph-based fully automatic Perthes classification system that achieves state-of-the-art results with an area under the receiver operator characteristic (ROC) curve of 98%.作者: 沒收 時間: 2025-3-29 00:05
Fully Automatic Planning of Total Shoulder Arthroplasty Without Segmentation: A Deep Learning Basedh yields the orientation of the plane. The system was trained and evaluated on 27 upper arm CTs. In a 4-fold cross-validation the mean error in estimating the AMP center was .?mm and the angular error for estimating the normal vector was ..作者: CRP743 時間: 2025-3-29 04:51 作者: infarct 時間: 2025-3-29 08:15 作者: 兇兆 時間: 2025-3-29 15:24 作者: Allodynia 時間: 2025-3-29 18:03 作者: essential-fats 時間: 2025-3-29 19:47 作者: Harridan 時間: 2025-3-30 02:36 作者: 谷類 時間: 2025-3-30 05:08
Fully Automatic Teeth Segmentation in Adult OPG Images,firstly to locate the mandible and the approximate pose of each tooth, and secondly to locate the full outline of each individual tooth. An automatically computed quality-of-fit measure was proposed to identify missing teeth. The system was evaluated using 346 manually annotated images containing ad作者: Injunction 時間: 2025-3-30 09:15 作者: EWER 時間: 2025-3-30 13:11 作者: 摘要 時間: 2025-3-30 19:37 作者: 博愛家 時間: 2025-3-30 22:17
Bone Adaptation as Level Set Motion,n fracture risk. Computational modeling of bone adaptation may provide insight into mitigating aging and preventing disease. In this paper, the adaptation of bone is modeled as a curve evolution problem. Curves can be evolved according to the level set method. The level set method models basic bone 作者: Substance 時間: 2025-3-31 03:30
Landmark Localisation in Radiographs Using Weighted Heatmap Displacement Voting,sponse (“heatmap”) around each target point is known to be effective for this task. We show that better results can be obtained by training a CNN to predict the offset to the target point at every location, then using these predictions to vote for the point position. We show the advantages of the ap作者: 粗語 時間: 2025-3-31 06:14
Perthes Disease Classification Using Shape and Appearance Modelling,ease and healthy. Legg-Calvé-Perthes disease affects the femoral head with avascular necrosis, which causes large shape deformities during the growth-stage of the child. Further, the dead or dying bone of the femoral head is prominent visually in radiographic images, leading to a distinction between作者: 館長 時間: 2025-3-31 09:46
Deep Learning Based Rib Centerline Extraction and Labeling,gist to efficiently inspect all 24 ribs in a computed tomography (CT) volume. In this paper, we combine a deep learning-based rib detection with a dedicated centerline extraction algorithm applied to the detection result for the purpose of fast, robust and accurate rib centerline extraction and labe
