語系:
繁體中文
English
說明(常見問題)
圖資館首頁
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Simplifying Medical UltrasoundSecond...
~
(1998 :)
Simplifying Medical UltrasoundSecond International Workshop, ASMUS 2021, held in conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021 : proceedings /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Simplifying Medical Ultrasoundedited by J. Alison Noble ... [et al.].
其他題名:
Second International Workshop, ASMUS 2021, held in conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021 : proceedings /
其他題名:
ASMUS 2021
其他作者:
Noble, J. Alison.
團體作者:
出版者:
Cham :Springer International Publishing :2021.
面頁冊數:
xiii, 230 p. :ill., digital ;24 cm.
Contained By:
Springer Nature eBook
標題:
Diagnostic ultrasonic imagingCongresses.Data processing
電子資源:
https://doi.org/10.1007/978-3-030-87583-1
ISBN:
9783030875831$q(electronic bk.)
Simplifying Medical UltrasoundSecond International Workshop, ASMUS 2021, held in conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021 : proceedings /
Simplifying Medical Ultrasound
Second International Workshop, ASMUS 2021, held in conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021 : proceedings /[electronic resource] :ASMUS 2021edited by J. Alison Noble ... [et al.]. - Cham :Springer International Publishing :2021. - xiii, 230 p. :ill., digital ;24 cm. - Lecture notes in computer science,129670302-9743 ;. - Lecture notes in computer science ;4891..
Automatic ultrasound vessel segmentation with deep spatiotemporal context learning -- Multimodal continual learning with sonographer eye-tracking in fetal ultrasound -- Development and evaluation of intraoperative ultrasound segmentation with negative image frames and multiple observer labels -- Automatic tomographic ultrasound imaging sequence extraction of the anal sphincter -- Lung Ultrasound Segmentation and Adaptation between COVID-19 and Community-Acquired Pneumonia -- An Efficient Tracker for Thyroid Nodule Detection and Tracking during Ultrasound Scanning -- TransBridge: A lightweight transformer for left ventricle segmentation in echocardiography -- Adversarial Affine Registration for Real-time Intraoperative Registration of 3-D US-US for Brain Shift Correction -- Robust ultrasound-to-ultrasound registration for intra-operative brain shift correction with a Siamese neural network -- Pose Estimation of 2D Ultrasound Probe from Ultrasound Image Sequences Using CNN and RNN -- Evaluation of low-cost hardware alternatives for 3D freehand ultrasound reconstruction in image-guided neurosurgery -- Application potential of robot-guided ultrasound during CT-guided interventions -- Towards Scale and Position Invariant Task Classification using Normalised Visual Scanpaths in Clinical Fetal Ultrasound -- Efficient Echocardiogram View Classification with Sampling-Free Uncertainty Estimation -- Contrastive Learning for View Classification of Echocardiograms -- Imaging Biomarker Knowledge Transfer for Attention-based Diagnosis of COVID-19 in Lung Ultrasound Videos -- Endoscopic ultrasound image synthesis using a cycle-consistent adversarial network -- Realistic Ultrasound Image Synthesis for Improved Classification of Liver Disease -- Adaptable image quality assessment using meta-reinforcement learning of task amenability -- Deep Video Networks for Automatic Assessment of Aortic Stenosis in Echocardiography -- Pruning MobileNetV2 for Efficient Implementation of Minimum Variance Beamforming -- Automatic fetal gestational age estimation from first trimester scans.
This book constitutes the proceedings of the Second International Workshop on Advances in Simplifying Medical UltraSound, ASMUS 2021, held on September 27, 2021, in conjunction with MICCAI 2021, the 24th International Conference on Medical Image Computing and Computer-Assisted Intervention. The conference was planned to take place in Strasbourg, France, but changed to an online event due to the Coronavirus pandemic. The 22 papers presented in this book were carefully reviewed and selected from 30 submissions. They were organized in topical sections as follows: segmentation and detection; registration, guidance and robotics; classification and image synthesis; and quality assessment and quantitative imaging.
ISBN: 9783030875831$q(electronic bk.)
Standard No.: 10.1007/978-3-030-87583-1doiSubjects--Topical Terms:
906922
Diagnostic ultrasonic imaging
--Data processing--Congresses.
LC Class. No.: RC78.7.U4 / A76 2021
Dewey Class. No.: 616.07543
Simplifying Medical UltrasoundSecond International Workshop, ASMUS 2021, held in conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021 : proceedings /
LDR
:04133nmm a2200373 a 4500
001
609388
003
DE-He213
005
20210922123645.0
006
m d
007
cr nn 008maaau
008
220222s2021 sz s 0 eng d
020
$a
9783030875831$q(electronic bk.)
020
$a
9783030875824$q(paper)
024
7
$a
10.1007/978-3-030-87583-1
$2
doi
035
$a
978-3-030-87583-1
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
RC78.7.U4
$b
A76 2021
072
7
$a
UYQV
$2
bicssc
072
7
$a
COM016000
$2
bisacsh
072
7
$a
UYQV
$2
thema
082
0 4
$a
616.07543
$2
23
090
$a
RC78.7.U4
$b
A836 2021
111
2
$n
(3rd :
$d
1998 :
$c
Amsterdam, Netherlands)
$3
194767
245
1 0
$a
Simplifying Medical Ultrasound
$h
[electronic resource] :
$b
Second International Workshop, ASMUS 2021, held in conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021 : proceedings /
$c
edited by J. Alison Noble ... [et al.].
246
3
$a
ASMUS 2021
246
3
$a
MICCAI 2021
260
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2021.
300
$a
xiii, 230 p. :
$b
ill., digital ;
$c
24 cm.
490
1
$a
Lecture notes in computer science,
$x
0302-9743 ;
$v
12967
490
1
$a
Image processing, computer vision, pattern recognition, and graphics
505
0
$a
Automatic ultrasound vessel segmentation with deep spatiotemporal context learning -- Multimodal continual learning with sonographer eye-tracking in fetal ultrasound -- Development and evaluation of intraoperative ultrasound segmentation with negative image frames and multiple observer labels -- Automatic tomographic ultrasound imaging sequence extraction of the anal sphincter -- Lung Ultrasound Segmentation and Adaptation between COVID-19 and Community-Acquired Pneumonia -- An Efficient Tracker for Thyroid Nodule Detection and Tracking during Ultrasound Scanning -- TransBridge: A lightweight transformer for left ventricle segmentation in echocardiography -- Adversarial Affine Registration for Real-time Intraoperative Registration of 3-D US-US for Brain Shift Correction -- Robust ultrasound-to-ultrasound registration for intra-operative brain shift correction with a Siamese neural network -- Pose Estimation of 2D Ultrasound Probe from Ultrasound Image Sequences Using CNN and RNN -- Evaluation of low-cost hardware alternatives for 3D freehand ultrasound reconstruction in image-guided neurosurgery -- Application potential of robot-guided ultrasound during CT-guided interventions -- Towards Scale and Position Invariant Task Classification using Normalised Visual Scanpaths in Clinical Fetal Ultrasound -- Efficient Echocardiogram View Classification with Sampling-Free Uncertainty Estimation -- Contrastive Learning for View Classification of Echocardiograms -- Imaging Biomarker Knowledge Transfer for Attention-based Diagnosis of COVID-19 in Lung Ultrasound Videos -- Endoscopic ultrasound image synthesis using a cycle-consistent adversarial network -- Realistic Ultrasound Image Synthesis for Improved Classification of Liver Disease -- Adaptable image quality assessment using meta-reinforcement learning of task amenability -- Deep Video Networks for Automatic Assessment of Aortic Stenosis in Echocardiography -- Pruning MobileNetV2 for Efficient Implementation of Minimum Variance Beamforming -- Automatic fetal gestational age estimation from first trimester scans.
520
$a
This book constitutes the proceedings of the Second International Workshop on Advances in Simplifying Medical UltraSound, ASMUS 2021, held on September 27, 2021, in conjunction with MICCAI 2021, the 24th International Conference on Medical Image Computing and Computer-Assisted Intervention. The conference was planned to take place in Strasbourg, France, but changed to an online event due to the Coronavirus pandemic. The 22 papers presented in this book were carefully reviewed and selected from 30 submissions. They were organized in topical sections as follows: segmentation and detection; registration, guidance and robotics; classification and image synthesis; and quality assessment and quantitative imaging.
650
0
$a
Diagnostic ultrasonic imaging
$x
Data processing
$v
Congresses.
$3
906922
650
1 4
$a
Computer Imaging, Vision, Pattern Recognition and Graphics.
$3
274492
650
2 4
$a
Artificial Intelligence.
$3
212515
650
2 4
$a
Computational Biology/Bioinformatics.
$3
274833
700
1
$a
Noble, J. Alison.
$3
344551
710
2
$a
SpringerLink (Online service)
$3
273601
711
2
$n
(3rd :
$d
1998 :
$c
Amsterdam, Netherlands)
$3
194767
773
0
$t
Springer Nature eBook
830
0
$a
Lecture notes in computer science ;
$v
4891.
$3
383229
830
0
$a
Image processing, computer vision, pattern recognition, and graphics.
$3
823073
856
4 0
$u
https://doi.org/10.1007/978-3-030-87583-1
950
$a
Computer Science (SpringerNature-11645)
筆 0 讀者評論
全部
電子館藏
館藏
1 筆 • 頁數 1 •
1
條碼號
館藏地
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
000000205969
電子館藏
1圖書
電子書
EB RC78.7.U4 A836 2021 2021
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
多媒體檔案
https://doi.org/10.1007/978-3-030-87583-1
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼
登入