Class information for: |
Basic class information |
Class id | #P | Avg. number of references |
Database coverage of references |
---|---|---|---|
13895 | 807 | 36.0 | 69% |
Hierarchy of classes |
The table includes all classes above and classes immediately below the current class. |
Cluster id | Level | Cluster label | #P |
---|---|---|---|
9 | 4 | COMPUTER SCIENCE, THEORY & METHODS//COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE//COMPUTER SCIENCE, INFORMATION SYSTEMS | 1247339 |
26 | 3 | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE//PATTERN RECOGNITION//COMPUTER SCIENCE, SOFTWARE ENGINEERING | 111824 |
765 | 2 | IMAGE SEGMENTATION//ACTIVE CONTOURS//SEGMENTATION | 12312 |
13895 | 1 | LIVER SEGMENTATION//PROSTATE SEGMENTATION//LABEL FUSION | 807 |
Terms with highest relevance score |
rank | Term | termType | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
---|---|---|---|---|---|---|
1 | LIVER SEGMENTATION | authKW | 1285100 | 5% | 77% | 44 |
2 | PROSTATE SEGMENTATION | authKW | 1076237 | 4% | 89% | 32 |
3 | LABEL FUSION | authKW | 880546 | 4% | 73% | 32 |
4 | MULTI ATLAS SEGMENTATION | authKW | 788256 | 3% | 83% | 25 |
5 | ATLAS BASED SEGMENTATION | authKW | 700484 | 4% | 51% | 36 |
6 | ATLAS SELECTION | authKW | 278612 | 1% | 82% | 9 |
7 | SIMULTANEOUS TRUTH AND PERFORMANCE LEVEL ESTIMATION STAPLE | authKW | 264857 | 1% | 100% | 7 |
8 | MULTI ATLAS BASED SEGMENTATION | authKW | 242152 | 1% | 80% | 8 |
9 | MULTI ATLAS | authKW | 218001 | 1% | 52% | 11 |
10 | DEFORMABLE SEGMENTATION | authKW | 170262 | 1% | 75% | 6 |
Web of Science journal categories |
Rank | Term | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
---|---|---|---|---|---|
1 | Radiology, Nuclear Medicine & Medical Imaging | 22763 | 64% | 0% | 519 |
2 | Engineering, Biomedical | 16917 | 36% | 0% | 293 |
3 | Neuroimaging | 8942 | 13% | 0% | 106 |
4 | Computer Science, Interdisciplinary Applications | 5890 | 23% | 0% | 188 |
5 | Imaging Science & Photographic Technology | 4265 | 10% | 0% | 84 |
6 | Computer Science, Artificial Intelligence | 3018 | 16% | 0% | 132 |
7 | Medical Informatics | 1507 | 5% | 0% | 44 |
8 | Neurosciences | 539 | 17% | 0% | 138 |
9 | Mathematical & Computational Biology | 524 | 5% | 0% | 40 |
10 | Computer Science, Theory & Methods | 497 | 7% | 0% | 60 |
Address terms |
Rank | Term | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
---|---|---|---|---|---|
1 | BRIC | 136135 | 5% | 9% | 42 |
2 | BIOMED IMAGE ANAL GRP | 86464 | 1% | 19% | 12 |
3 | BRAIN COGNIT ENGN | 79710 | 4% | 6% | 35 |
4 | BIOMED IMAGE ANAL BIOMEDIA GRP | 75673 | 0% | 100% | 2 |
5 | CLIN SECT 476 | 75673 | 0% | 100% | 2 |
6 | COMP VIS AREA | 75673 | 0% | 100% | 2 |
7 | MOMED CO | 75673 | 0% | 100% | 2 |
8 | COMPUTAT RADIOL | 64464 | 1% | 15% | 11 |
9 | TREATMENT PLANNING SYST | 50448 | 0% | 67% | 2 |
10 | IDEA | 49758 | 2% | 9% | 15 |
Journals |
Rank | Term | Chi square | Shr. of publ. in class containing term |
Class's shr. of term's tot. occurrences |
#P with term in class |
---|---|---|---|---|---|
1 | MEDICAL IMAGE ANALYSIS | 97622 | 7% | 5% | 54 |
2 | IEEE TRANSACTIONS ON MEDICAL IMAGING | 44731 | 8% | 2% | 67 |
3 | INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY | 32781 | 4% | 2% | 35 |
4 | NEUROIMAGE | 20269 | 10% | 1% | 82 |
5 | MEDICAL PHYSICS | 18841 | 9% | 1% | 75 |
6 | COMPUTERIZED MEDICAL IMAGING AND GRAPHICS | 11632 | 3% | 1% | 23 |
7 | NEUROINFORMATICS | 5639 | 1% | 2% | 7 |
8 | FRONTIERS IN NEUROINFORMATICS | 5415 | 1% | 2% | 6 |
9 | IRBM | 3098 | 1% | 1% | 6 |
10 | IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE | 2304 | 1% | 1% | 8 |
Author Key Words |
Core articles |
The table includes core articles in the class. The following variables is taken into account for the relevance score of an article in a cluster c: (1) Number of references referring to publications in the class. (2) Share of total number of active references referring to publications in the class. (3) Age of the article. New articles get higher score than old articles. (4) Citation rate, normalized to year. |
Rank | Reference | # ref. in cl. |
Shr. of ref. in cl. |
Citations |
---|---|---|---|---|
1 | IGLESIAS, JE , SABUNCU, MR , (2015) MULTI-ATLAS SEGMENTATION OF BIOMEDICAL IMAGES: A SURVEY.MEDICAL IMAGE ANALYSIS. VOL. 24. ISSUE 1. P. 205 -219 | 71 | 53% | 30 |
2 | NOURANIAN, S , MAHDAVI, SS , SPADINGER, I , MORRIS, WJ , SALCUDEAN, SE , ABOLMAESUMI, P , (2015) A MULTI-ATLAS-BASED SEGMENTATION FRAMEWORK FOR PROSTATE BRACHYTHERAPY.IEEE TRANSACTIONS ON MEDICAL IMAGING. VOL. 34. ISSUE 4. P. 950 -961 | 32 | 80% | 2 |
3 | TONG, T , WOLZ, R , WANG, ZH , GAO, QQ , MISAWA, K , FUJIWARA, M , MORI, K , HAJNAL, JV , RUECKERT, D , (2015) DISCRIMINATIVE DICTIONARY LEARNING FOR ABDOMINAL MULTI-ORGAN SEGMENTATION.MEDICAL IMAGE ANALYSIS. VOL. 23. ISSUE 1. P. 92 -104 | 23 | 85% | 9 |
4 | GARNIER, C , BELLANGER, JJ , WU, K , SHU, HZ , COSTET, N , MATHIEU, R , DE CREVOISIER, R , COATRIEUX, JL , (2011) PROSTATE SEGMENTATION IN HIFU THERAPY.IEEE TRANSACTIONS ON MEDICAL IMAGING. VOL. 30. ISSUE 3. P. 792 -803 | 25 | 83% | 20 |
5 | OKADA, T , LINGURARU, MG , HORI, M , SUMMERS, RM , TOMIYAMA, N , SATO, Y , (2015) ABDOMINAL MULTI-ORGAN SEGMENTATION FROM CT IMAGES USING CONDITIONAL SHAPE-LOCATION AND UNSUPERVISED INTENSITY PRIORS.MEDICAL IMAGE ANALYSIS. VOL. 26. ISSUE 1. P. 1 -18 | 22 | 79% | 9 |
6 | ZHU, HC , CHENG, HW , YANG, XS , FAN, Y , (2017) METRIC LEARNING FOR MULTI-ATLAS BASED SEGMENTATION OF HIPPOCAMPUS.NEUROINFORMATICS. VOL. 15. ISSUE 1. P. 41 -50 | 25 | 76% | 0 |
7 | WANG, L , GAO, YZ , SHI, F , LI, G , GILMORE, JH , LIN, WL , SHEN, DG , (2015) LINKS: LEARNING-BASED MULTI-SOURCE INTEGRATION FRAMEWORK FOR SEGMENTATION OF INFANT BRAIN IMAGES.NEUROIMAGE. VOL. 108. ISSUE . P. 160 -172 | 29 | 49% | 18 |
8 | GHOSE, S , OLIVER, A , MARTI, R , LLADO, X , VILANOVA, JC , FREIXENET, J , MITRA, J , SIDIBE, D , MERIAUDEAU, F , (2012) A SURVEY OF PROSTATE SEGMENTATION METHODOLOGIES IN ULTRASOUND, MAGNETIC RESONANCE AND COMPUTED TOMOGRAPHY IMAGES.COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE. VOL. 108. ISSUE 1. P. 262 -287 | 34 | 47% | 48 |
9 | LI, XW , LI, QL , LI, SY , LI, DY , (2015) LOCAL MANIFOLD LEARNING FOR MULTIATLAS SEGMENTATION: APPLICATION TO HIPPOCAMPAL SEGMENTATION IN HEALTHY POPULATION AND ALZHEIMER'S DISEASE.CNS NEUROSCIENCE & THERAPEUTICS. VOL. 21. ISSUE 10. P. 826 -836 | 28 | 62% | 2 |
10 | BAI, WJ , SHI, WZ , LEDIG, C , RUECKERT, D , (2015) MULTI-ATLAS SEGMENTATION WITH AUGMENTED FEATURES FOR CARDIAC MR IMAGES.MEDICAL IMAGE ANALYSIS. VOL. 19. ISSUE 1. P. 98 -109 | 23 | 55% | 21 |
Classes with closest relation at Level 1 |