Biomedical Image Registration, Domain Generalisation and Out-of-Distribution Analysis (Record no. 177219)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 05701nam a22006135i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 978-3-030-97281-3 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | DE-He213 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20240423125354.0 |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
| fixed length control field | cr nn 008mamaa |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 220301s2022 sz | s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9783030972813 |
| -- | 978-3-030-97281-3 |
| 024 7# - OTHER STANDARD IDENTIFIER | |
| Standard number or code | 10.1007/978-3-030-97281-3 |
| Source of number or code | doi |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | TA1501-1820 |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | TA1634 |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | UYT |
| Source | bicssc |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | COM016000 |
| Source | bisacsh |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | UYT |
| Source | thema |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006 |
| Edition number | 23 |
| 245 10 - TITLE STATEMENT | |
| Title | Biomedical Image Registration, Domain Generalisation and Out-of-Distribution Analysis |
| Medium | [electronic resource] : |
| Remainder of title | MICCAI 2021 Challenges: MIDOG 2021, MOOD 2021, and Learn2Reg 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27–October 1, 2021, Proceedings / |
| Statement of responsibility, etc | edited by Marc Aubreville, David Zimmerer, Mattias Heinrich. |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 1st ed. 2022. |
| 264 #1 - | |
| -- | Cham : |
| -- | Springer International Publishing : |
| -- | Imprint: Springer, |
| -- | 2022. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | IX, 194 p. 68 illus., 51 illus. in color. |
| Other physical details | online resource. |
| 336 ## - | |
| -- | text |
| -- | txt |
| -- | rdacontent |
| 337 ## - | |
| -- | computer |
| -- | c |
| -- | rdamedia |
| 338 ## - | |
| -- | online resource |
| -- | cr |
| -- | rdacarrier |
| 347 ## - | |
| -- | text file |
| -- | |
| -- | rda |
| 490 1# - SERIES STATEMENT | |
| Series statement | Image Processing, Computer Vision, Pattern Recognition, and Graphics, |
| International Standard Serial Number | 3004-9954 ; |
| Volume number/sequential designation | 13166 |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Preface MIDOG 2021 -- Domain Adversarial RetinaNet as a Reference Algorithm for the MItosis DOmainGeneralization Challenge -- Assessing domain adaptation techniques for mitosis detection in multi-scanner breast cancer histopathology images -- Domain-Robust Mitotic Figure Detection with StyleGAN -- Two-step Domain Adaptation for Mitosis Cell Detection in Histopathology Images -- Robust Mitosis Detection Using a Cascade Mask-RCNN Approach With Domain-Specific Residual Cycle-GAN Data Augmentation -- Stain-Robust Mitotic Figure Detection for the Mitosis Domain Generalization Challenge -- MitoDet: Simple and robust mitosis detection -- Multi-source Domain Adaptation Using Gradient Reversal Layer for Mitotic Cell Detection -- Rotation Invariance and Extensive Data Augmentation: a strategy for the Mitosis Domain Generalization (MIDOG) Challenge -- Detecting Mitosis against Domain Shift using a Fused Detector and Deep Ensemble Classi cation Model for MIDOG Challenge -- Domain Adaptive Cascade R-CNN for Mitosis DOmain Generalization (MIDOG) Challenge -- Reducing Domain Shift For Mitosis Detection Using Preprocessing Homogenizers -- Cascade RCNN for MIDOG Challenge -- Sk-Unet Model with Fourier Domain for Mitosis Detection -- Preface MOOD21 -- Self-Supervised 3D Out-of-Distribution Detection via Pseudoanomaly Generation -- Self-Supervised Medical Out-of-Distribution Using U-Net Vision Transformers -- SS3D: Unsupervised Out-of-Distribution Detection and Localization for Medical Volumes -- MetaDetector: Detecting Outliers by Learning to Learn from Self-supervision -- AutoSeg - Steering the Inductive Biases for Automatic Pathology Segmentation -- Preface Learn2Reg 2021 -- Deformable Registration of Brain MR Images via a Hybrid Loss -- Fraunhofer MEVIS Image Registration Solutions for the Learn2Reg 2021 Challenge -- Unsupervised Volumetric Displacement Fields Using Cost Function Unrolling -- Conditional Deep Laplacian Pyramid Image Registration Network in Learn2Reg Challenge -- TheLearn2Reg 2021 MICCAI Grand Challenge (PIMed Team) -- Fast 3D registration with accurate optimisation and little learning for Learn2Reg 2021 -- Progressive and Coarse-to-fine Network for Medical Image Registration across Phases, Modalities and Patients. -Semi-supervised Multilevel Symmetric Image Registration Method for Magnetic Resonance Whole Brain Images. . |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | This book constitutes three challenges that were held in conjunction with the 24th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2021, which was planned to take place in Strasbourg, France but changed to an online event due to the COVID-19 pandemic. The peer-reviewed 18 long and 9 short papers included in this volume stem from the following three biomedical image analysis challenges: Mitosis Domain Generalization Challenge (MIDOG 2021), Medical Out-of-Distribution Analysis Challenge (MOOD 2021), and Learn2Reg (L2R 2021). The challenges share the need for developing and fairly evaluating algorithms that increase accuracy, reproducibility and efficiency of automated image analysis in clinically relevant applications. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Image processing |
| General subdivision | Digital techniques. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Computer vision. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Computers. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Application software. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Machine learning. |
| 650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Computer Imaging, Vision, Pattern Recognition and Graphics. |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Computing Milieux. |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Computer and Information Systems Applications. |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Machine Learning. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Aubreville, Marc. |
| Relator term | editor. |
| Relator code | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Zimmerer, David. |
| Relator term | editor. |
| Relator code | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Heinrich, Mattias. |
| Relator term | editor. |
| Relator code | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 710 2# - ADDED ENTRY--CORPORATE NAME | |
| Corporate name or jurisdiction name as entry element | SpringerLink (Online service) |
| 773 0# - HOST ITEM ENTRY | |
| Title | Springer Nature eBook |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Display text | Printed edition: |
| International Standard Book Number | 9783030972806 |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Display text | Printed edition: |
| International Standard Book Number | 9783030972820 |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
| Uniform title | Image Processing, Computer Vision, Pattern Recognition, and Graphics, |
| -- | 3004-9954 ; |
| Volume number/sequential designation | 13166 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="https://doi.org/10.1007/978-3-030-97281-3">https://doi.org/10.1007/978-3-030-97281-3</a> |
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| -- | ZDB-2-LNC |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks-CSE-Springer |
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