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عنوان
Data driven treatment response assessment and preterm, perinatal, and paediatric image analysis :

پدید آورنده
Andrew Melbourne, Roxane Licandro, Matthew DiFranco, Paolo Rota, Melanie Gau, Martin Kampel, Rosalind Aughwane, Pim Moeskops, Ernst Schwartz, Emma Robinson, Antonios Makropoulos (eds.).

موضوع
Diagnostic imaging-- Data processing, Congresses.,Arithmetic and Logic Structures.,Artificial Intelligence.,Health Informatics.,Image Processing and Computer Vision.,Algorithms & data structures.,Computers-- Computer Graphics.,Computers-- Computer Science.,Computers-- Logic Design.,Diagnostic imaging-- Data processing.,Health & safety aspects of IT.,Image processing.,Medical-- General.,Program concepts-- learning to program.

رده
RC78
.
7
.
D53

کتابخانه
کتابخانه مطالعات اسلامی به زبان های اروپایی

محل استقرار
استان: قم ـ شهر: قم

کتابخانه مطالعات اسلامی به زبان های اروپایی

تماس با کتابخانه : 32910706-025

303000807X
3030008088
9783030008079
9783030008086
3030008061
9783030008062

Data driven treatment response assessment and preterm, perinatal, and paediatric image analysis :
[Book]
first International Workshop, DATRA 2018 and third International Workshop, PIPPI 2018, held in conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings /
Andrew Melbourne, Roxane Licandro, Matthew DiFranco, Paolo Rota, Melanie Gau, Martin Kampel, Rosalind Aughwane, Pim Moeskops, Ernst Schwartz, Emma Robinson, Antonios Makropoulos (eds.).

Cham, Switzerland :
Springer,
2018.

1 online resource (xi, 180 pages) :
illustrations.

Lecture notes in computer science ;
LNCS sublibrary. SL 6, Image processing, computer vision, pattern recognition, and graphics
11076

Includes author index.
International conference proceedings.

DeepCS: Deep Convolutional Neural Network and SVM based Single Image Super-Resolution -- Automatic Segmentation of Thigh Muscle in Longitudinal 3D T1-Weighted Magnetic Resonance (MR) Images -- Detecting Bone Lesions in Multiple Myeloma Patient Using Transfer Learning -- Quantification of Local Metabolic Tumor Volume Changes by Registering Blended PET-CT Images for Prediction of Pathologic Tumor Response -- Optimizing External Surface Sensor Locations for Respiratory Tumor Motion Prediction -- Segmentation of Fetal Adipose Tissue Using Efficient CNNs for Portable Ultrasound -- Automatic Shadow Detection in 2D Ultrasound Images -- Multi-Channel Groupwise Registration to Construct and Ultrasound-Specific Fetal Brain Atlas -- Investigating Brain Age Deviation in Preterm Infants: A Deep Learning Approach -- Segmentation of Pelvic Vessels in Pediatric MRI Using a Patch-Based Deep Learning Approach -- Multi-View Image Reconstruction: Application to Fetal Ultrasound Compounding -- EchoFusion: Tracking and Reconstruction of Objects in 4D Freehand Ultrasound Imaging Without External Trackers -- Better Feature Matching for Placental Panorama Construction -- Combining Deep Learning and Multi-Atlas Label Fusion for Automated Placenta Segmentation from 3DUS -- LSTM Spatial Co-transformer Networks for Registration of 3D Fetal US and MR Brain Images -- Automatic and Efficient Standard Plane Recognition in Fetal Ultrasound Images via Multi-Scale Dense Networks -- Paediatric Liver Segmentation for Low-Contrast CT Images.
0

This book constitutes the refereed joint proceedings of the First International Workshop on Data Driven Treatment Response Assessment, DATRA 2018 and the Third International Workshop on Preterm, Perinatal and Paediatric Image Analysis, PIPPI 2018, held in conjunction with the 21st International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2018, in Granada, Spain, in September 2018. The 5 full papers presented at DATRA 2018 and the 12 full papers presented at PIPPI 2018 were carefully reviewed and selected. The DATRA papers cover a wide range of exploring pattern recognition technologies for tackling clinical issues related to the follow-up analysis of medical data with focus on malignancy progression analysis, computer-aided models of treatment response, and anomaly detection in recovery feedback. The PIPPI papers cover topics of advanced image analysis approaches focused on the analysis of growth and development in the fetal, infant and paediatric period.

Springer Nature
com.springer.onix.9783030008079

9783030008062
9783030008086

DATRA 2018
PIPPI 2018

Diagnostic imaging-- Data processing, Congresses.
Arithmetic and Logic Structures.
Artificial Intelligence.
Health Informatics.
Image Processing and Computer Vision.
Algorithms & data structures.
Computers-- Computer Graphics.
Computers-- Computer Science.
Computers-- Logic Design.
Diagnostic imaging-- Data processing.
Health & safety aspects of IT.
Image processing.
Medical-- General.
Program concepts-- learning to program.

COM014000
UMA
UMA

616
.
07/57
23

RC78
.
7
.
D53

Aughwane, Rosalind
DiFranco, Matthew
Gau, Melanie
Kampel, Martin
Licandro, Roxane
Makropoulos, Antonios
Melbourne, Andrew
Moeskops, Pim
Robinson, Emma
Rota, Paolo
Schwartz, Ernst

DATRA (Workshop)(1st :2018 :, Granada, Spain)

International Conference on Medical Image Computing and Computer-Assisted Intervention(21st :2018 :, Granada, Spain)
PIPPI (Workshop)(3rd :2018 :, Granada, Spain)

20200823072231.0
pn

 مطالعه متن کتاب 

[Book]

Y

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