Top Papers: KI in der Krebserkennung (2002)

Die 50 meistzitierten Arbeiten zu KI in der Krebserkennung aus dem Jahr 2002 (von 1.025 insgesamt).

Krebs frühzeitig zu erkennen kann Leben retten – und genau hier setzt KI an. Deep-Learning-Modelle erreichen inzwischen bei bestimmten Tumorarten eine Erkennungsgenauigkeit, die mit der erfahrener Pathologen vergleichbar ist. Die Forschung umfasst Hautkrebs-Screening, Brustkrebs-Mammographie, Lungennoduli-Erkennung und vieles mehr. Hier finden Sie die einflussreichsten und neuesten Studien zu diesem Thema.

2000 2001 2002 2003

#	Paper	Zitationen
1	Comparison of the Performance of Screening Mammography, Physical Examination, and Breast US and Evaluation of Factors that Influence Them: An Analysis of 27,825 Patient Evaluations T M Kolb, Jacob Lichy, Jeffrey H. Newhouse Radiology	1.705
2	A prediction-based resampling method for estimating the number of clusters in a dataset Sandrine Dudoit, Jane Fridlyand Genome biology	705
3	A Geometric Framework for Unsupervised Anomaly Detection: Detecting Intrusions in Unlabeled Data Eleazar Eskin, Andrew O. Arnold, Michael J. Prerau et al. Columbia Academic Commons (Columbia University)	606
4	Initialization, noise, singularities, and scale in height ridge traversal for tubular object centerline extraction Stephen Aylward, E. Bullitt IEEE Transactions on Medical Imaging	575
5	A support vector machine approach for detection of microcalcifications I. El-Naqa, Yongyi Yang, M.N. Wernick et al. IEEE Transactions on Medical Imaging	570
6	Active shape model segmentation with optimal features Bram van Ginneken, Alejandro F. Frangi, Joes Staal et al. IEEE Transactions on Medical Imaging	523
7	Medical Image Processing, Analysis and Visualization in clinical research Matthew McAuliffe, François Lalonde, Delia P. McGarry et al. —	520
8	Near‐infrared Raman spectroscopy for the classification of epithelial pre‐cancers and cancers Nicholas Stone, Catherine Kendall, Neil A. Shepherd et al. Journal of Raman Spectroscopy	464
9	Using Prior Shapes in Geometric Active Contours in a Variational Framework Yunmei Chen, Hemant D. Tagare, Sheshadri Thiruvenkadam et al. International Journal of Computer Vision	404
10	Comparative study of textural analysis techniques to characterise tissue from intravascular ultrasound William H. Nailon, Stephen McLaughlin, Timothy R. Spencer et al. —	403
11	Lung cancer cell identification based on artificial neural network ensembles Zhi‐Hua Zhou, Yuan Jiang, Yu-Bin Yang et al. Artificial Intelligence in Medicine	354
12	Medical Image Computing and Computer-Assisted Intervention — MICCAI 2002 Takeyoshi Dohi, Ron Kikinis Lecture notes in computer science	312
13	Clinical Comparison of Full-Field Digital Mammography and Screen-Film Mammography for Detection of Breast Cancer John Lewin, Carl J. D’Orsi, R. Edward Hendrick et al. American Journal of Roentgenology	255
14	Performance Parameters for Screening and Diagnostic Mammography: Specialist and General Radiologists Edward A. Sickles, Dulcy Wolverton, Katherine E. Dee Radiology	251
15	Computerized lesion detection on breast ultrasound Karen Drukker, Maryellen L. Giger, Karla Horsch et al. Medical Physics	234
16	A combined neural network and decision trees model for prognosis of breast cancer relapse José M. Jerez, José Antonio Gómez‐Ruiz, Gonzalo Ramos-Jiménez et al. Artificial Intelligence in Medicine	234
17	A longitudinal study of the effects of menopause on mammographic features. Norman F. Boyd, Lisa Martin, Jennifer Stone et al. PubMed	221
18	A Feature Set for Cytometry on Digitized Microscopic Images Karsten Rodenacker, Ewert Bengtsson Analytical Cellular Pathology	214
19	Computerized diagnosis of breast lesions on ultrasound Karla Horsch, Maryellen L. Giger, Luz A. Venta et al. Medical Physics	207
20	Does Training in the Breast Imaging Reporting and Data System (BI-RADS) Improve Biopsy Recommendations or Feature Analysis Agreement with Experienced Breast Imagers at Mammography? Wendie A. Berg, Carl J. D’Orsi, Valerie P. Jackson et al. Radiology	206
21	Software Tools for High-Throughput Analysis and Archiving of Immunohistochemistry Staining Data Obtained with Tissue Microarrays Chih Long Liu, Wijan Prapong, Yasodha Natkunam et al. American Journal Of Pathology	203
22	Diagnosis of breast tumors with sonographic texture analysis using wavelet transform and neural networks Dar‐Ren Chen, Ruey‐Feng Chang, Wen-Jia Kuo et al. Ultrasound in Medicine & Biology	200
23	A BRCA1/2 mutation, high breast density and prominent pushing margins of a tumor independently contribute to a frequent false‐negative mammography Madeleine A Tilanus-Linthorst, Leon C. Verhoog, Inge‐Marie Obdeijn et al. International Journal of Cancer	194
24	Revisiting the Mammographic Follow-Up of BI-RADS Category 3 Lesions Ximena Varas, J Leborgne, Francisco Leborgne et al. American Journal of Roentgenology	188
25	<title>Quality of DICOM header information for image categorization</title> Mark O. Gueld, Michael Kohnen, Daniel Keysers et al. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE	184
26	Diagnostic accuracy of stereotactic large‐core needle biopsy for nonpalpable breast disease: Results of a multicenter prospective study with 95% surgical confirmation Helena M. Verkooijen International Journal of Cancer	178
27	Integrated approach to teaching and testing in histology with real and virtual imaging Paul M. Heidger, Fred R. Dee, Daniel Consoer et al. The Anatomical Record	172
28	Fractal analysis in the detection of colonic cancer images Abdelrahim Nasser Esgiar, R.N.G. Naguib, B.S. Sharif et al. IEEE Transactions on Information Technology in Biomedicine	158
29	Primary staging and follow-up in melanoma patients – monocenter evaluation of methods, costs and patient survival U. Hofmann, M Szedlak, Werner Rittgen et al. British Journal of Cancer	157
30	Screening Mammography Stephen H. Taplin, Carolyn M. Rutter, Charles Finder et al. American Journal of Roentgenology	156
31	Pre-validation and inference in microarrays Robert Tibshirani, Brad Efron Statistical Applications in Genetics and Molecular Biology	148
32	Level set based segmentation with intensity and curvature priors Michael E. Leventon, Olivier Faugeras, W. Eric L. Grimson et al. —	146
33	Algorithms for Cytoplasm Segmentation of Fluorescence Labelled Cells Carolina Wählby, Joakim Lindblad, Mikael Vondrus et al. Analytical Cellular Pathology	145
34	Comparative study in patients with microcalcifications: full-field digital mammography vs screen-film mammography Urs Fischer, F. Baum, Silvia Obenauer et al. European Radiology	144
35	Stereotactic 11-Gauge Vacuum-Assisted Breast Biopsy: A Validation Study Georg Pfarl, Thomas H. Helbich, Christopher C. Riedl et al. American Journal of Roentgenology	144
36	Early detection of pancreatic carcinoma Christophe Rosty, Michael Goggins Hematology/Oncology Clinics of North America	143
37	Mammogram synthesis using a 3D simulation. I. Breast tissue model and image acquisition simulation Predrag R. Bakić, Michael Albert, D. Brzaković et al. Medical Physics	141
38	Multicenter Evaluation of an Artificial Neural Network to Increase the Prostate Cancer Detection Rate and Reduce Unnecessary Biopsies Carsten Stephan, Henning Cammann, Axel Semjonow et al. Clinical Chemistry	139
39	Multiscale deformable model segmentation and statistical shape analysis using medial descriptions Sarang Joshi, Stephen M. Pizer, P. Thomas Fletcher et al. IEEE Transactions on Medical Imaging	139
40	A non‐parametric method for the comparison of partial areas under ROC curves and its application to large health care data sets Dong D. Zhang, Xiao‐Hua Zhou, Daniel Freeman et al. Statistics in Medicine	138
41	Breast Cancer: Effectiveness of Computer-aided Diagnosis—Observer Study with Independent Database of Mammograms Zhimin Huo, Maryellen L. Giger, Carl J. Vyborny et al. Radiology	134
42	To Excise or To Sample the Mammographic Target: What Is the Goal of Stereotactic II-Gauge Vacuum-Assisted Breast Biopsy? Laura Liberman, Jennifer B. Kaplan, Elizabeth A. Morris et al. American Journal of Roentgenology	133
43	US of Ductal Carcinoma In Situ Woo Kyung Moon, Jae Sung Myung, Y.-J. Lee et al. Radiographics	132
44	A multiple classifier system for early melanoma diagnosis Andrea Sboner, Claudio Eccher, Enrico Blanzieri et al. Artificial Intelligence in Medicine	131
45	Anatomical informatics: Millennial perspectives on a newer frontier Robert B. Trelease The Anatomical Record	131
46	An experimental comparison of detector performance for computed radiography systems Ehsan Samei, Michael Flynn Medical Physics	128
47	The pancake phenomenon contributes to the inaccuracy of margin assessment in patients with breast cancer Roger A. Graham, Marc J. Homer, Judith Katz et al. The American Journal of Surgery	128
48	Breast Cancer Risk in Usual Ductal Hyperplasia Is Defined by Estrogen Receptor-α and Ki-67 Expression Abeer M. Shaaban, J P Sloane, Christopher R. West et al. American Journal Of Pathology	125
49	Improvement of computerized mass detection on mammograms: Fusion of two-view information Sophie Paquerault, Nicholas Petrick, Heang‐Ping Chan et al. Medical Physics	124
50	Frequency of Nonsentinel Lymph Node Metastasis in Melanoma Kelly M. McMasters Annals of Surgical Oncology	124

Top Papers: KI in der Krebserkennung (2002)

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