Top Papers: KI in der Krebserkennung (2006)

Die 50 meistzitierten Arbeiten zu KI in der Krebserkennung aus dem Jahr 2006 (von 1.237 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.

2004 2005 2006 2007

#	Paper	Zitationen
1	The molecular portraits of breast tumors are conserved across microarray platforms Zhiyuan Hu, Cheng Fan, Daniel Oh et al. BMC Genomics	1.462
2	Ultrasound image segmentation: a survey J. Alison Noble, Djamal Boukerroui IEEE Transactions on Medical Imaging	1.114
3	Applications of Machine Learning in Cancer Prediction and Prognosis Joseph A. Cruz, David S. Wishart Cancer Informatics	1.085
4	The American College of Radiology (ACR) Breast Imaging and Reporting Data System (BI-RADS™): A step towards a universal radiological language? D. Vanel European Journal of Radiology	1.015
5	Role of Sonography in the Diagnosis of Axillary Lymph Node Metastases in Breast Cancer: A Systematic Review Soledad Álvarez Velasco, Enrique Añorbe, Pilar Alcorta et al. American Journal of Roentgenology	578
6	BI-RADS Lexicon for US and Mammography: Interobserver Variability and Positive Predictive Value Elizabeth Lazarus, Martha B. Mainiero, Barbara Schepps et al. Radiology	504
7	Diagnostic Performance of Digital versus Film Mammography for Breast-Cancer Screening Etta D. Pisano, Constantine Gatsonis, Edward Hendrick et al. Obstetrical & Gynecological Survey	482
8	Why illness perceptions matter Keith J. Petrie, John Weinman Clinical Medicine	465
9	The use of artificial neural networks in decision support in cancer: A systematic review Paulo Lisböa, Azzam Taktak Neural Networks	465
10	Medical Image Segmentation Using K-Means Clustering and Improved Watershed Algorithm H.P. Ng, Sim Heng Ong, Kelvin Weng Chiong Foong et al. —	453
11	Nuclei Segmentation Using Marker-Controlled Watershed, Tracking Using Mean-Shift, and Kalman Filter in Time-Lapse Microscopy Xiaodong Yang, Houqiang Li, Xiaobo Zhou IEEE Transactions on Circuits and Systems I Fundamental Theory and Applications	415
12	A Fuzzy C-Means (FCM)-Based Approach for Computerized Segmentation of Breast Lesions in Dynamic Contrast-Enhanced MR Images1 Weijie Chen, Maryellen L. Giger, Ulrich Bick Academic Radiology	357
13	Projecting Absolute Invasive Breast Cancer Risk in White Women With a Model That Includes Mammographic Density Jinbo Chen, David Pee, Rajeev Ayyagari et al. JNCI Journal of the National Cancer Institute	349
14	A review of computer-aided diagnosis of breast cancer: Toward the detection of subtle signs Rangaraj M. Rangayyan, Fábio J. Ayres, J. E. Leo Desautels Journal of the Franklin Institute	338
15	Performance Benchmarks for Screening Mammography Robert Rosenberg, Bonnie C. Yankaskas, Linn Abraham et al. Radiology	335
16	BioImage Suite: An integrated medical image analysis suite: An update Xenophon Papademetris, Marcel P. Jackowski, Nallkkandi Rajeevan et al. The Insight Journal	329
17	Image Processing with ImageJ —	320
18	The NA-MIC Kit: ITK, VTK, Pipelines, Grids and 3D Slicer as An Open Platform for the Medical Image Computing Community Steven Pieper, Bill Lorensen, W. J. Schroeder et al. —	292
19	Eye-movement study and human performance using telepathology virtual slides. Implications for medical education and differences with experience Elizabeth A. Krupinski, Allison A. Tillack, Lynne Richter et al. Human Pathology	286
20	Cost-effectiveness of Screening BRCA1/2 Mutation Carriers With Breast Magnetic Resonance Imaging Sylvia K. Plevritis, Allison W. Kurian, Bronislava M. Sigal et al. JAMA	260
21	Large-scale computations on histology images reveal grade-differentiating parameters for breast cancer Sokol Petushi, Fernando U. Garcia, Marian M. Haber et al. BMC Medical Imaging	242
22	Image-processing technique for suppressing ribs in chest radiographs by means of massive training artificial neural network (MTANN) Kenji Suzuki, Hiroyuki Abé, Heber MacMahon et al. IEEE Transactions on Medical Imaging	239
23	Volumetric breast density estimation from full-field digital mammograms Saskia van Engeland, Peter R. Snoeren, Henkjan Huisman et al. IEEE Transactions on Medical Imaging	234
24	Trends for in situ and Invasive Melanoma in Queensland, Australia, 1982–2002 Michael Coory, Peter D. Baade, Joanne F. Aitken et al. Cancer Causes & Control	227
25	Computer‐aided diagnosis of pulmonary nodules on CT scans: Segmentation and classification using 3D active contours Ted W. Way, Lubomir M. Hadjiiski, Berkman Sahiner et al. Medical Physics	222
26	Critical Comparison of 31 Commercially Available Digital Slide Systems in Pathology Marcial García Rojo, Gloria Bueno, Carlos Peces Mateos et al. International Journal of Surgical Pathology	222
27	Operator Dependence of Physician-performed Whole-Breast US: Lesion Detection and Characterization Wendie A. Berg, Jeffrey D. Blume, Jean Cormack et al. Radiology	219
28	Screening Mammograms: Interpretation with Computer-aided Detection—Prospective Evaluation Marilyn J. Morton, Dana H. Whaley, Kathleen R. Brandt et al. Radiology	219
29	Use of whole slide imaging in surgical pathology quality assurance: design and pilot validation studies Jonhan Ho, Anil V. Parwani, D.M. Jukic et al. Human Pathology	210
30	2006 SICE-ICASE International Joint Conference —	202
31	BIRADS™ classification in mammography Corinne Balleyguier, Salma Ayadi, Kim Van Nguyen et al. European Journal of Radiology	201
32	Primary histologic diagnosis using automated whole slide imaging: a validation study John R. Gilbertson, Jonhan Ho, Leslie Anthony et al. BMC Clinical Pathology	198
33	Fractal Analysis of Contours of Breast Masses in Mammograms Rangaraj M. Rangayyan, Thanh Minh Nguyen Journal of Digital Imaging	184
34	Evaluation of Tumor Angiogenesis of Breast Carcinoma Using Contrast-Enhanced Digital Mammography Clarisse Dromain, C. Balleyguier, Serge Muller et al. American Journal of Roentgenology	175
35	Optimizing filtered backprojection reconstruction for a breast tomosynthesis prototype device Thomas Mertelmeier, Jasmina Orman, Wolfgang Haerer et al. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE	169
36	2006 International Conference on Image Processing —	165
37	Introduction to the Non-rigid Image Registration Evaluation Project (NIREP) Gary E. Christensen, Xiujuan Geng, Jon G. Kuhl et al. Lecture notes in computer science	165
38	Improved Cancer Detection Using Computer-Aided Detection with Diagnostic and Screening Mammography: Prospective Study of 104 Cancers Judy Dean, Christina C. Ilvento American Journal of Roentgenology	163
39	A Review of Breast Ultrasound Chandra M. Sehgal, Susan P. Weinstein, Peter H. Arger et al. Journal of Mammary Gland Biology and Neoplasia	159
40	Watershed segmentation using prior shape and appearance knowledge Ghassan Hamarneh, Xiaoxing Li Image and Vision Computing	152
41	Characterization of Solid Breast Masses Melania Costantini, Paolo Belli, Roberta Lombardi et al. Journal of Ultrasound in Medicine	151
42	Computer-Aided Kidney Segmentation on Abdominal CT Images Dexin Lin, Cong Lei, Shao‐Wen Hung IEEE Transactions on Information Technology in Biomedicine	150
43	Role of ultrasonography in detecting mammographically occult breast carcinoma in women with dense breasts Vittorio Corsetti, Aurora Ferrari, Mauro Ghirardi et al. La radiologia medica	142
44	Breast MRI lesion classification: Improved performance of human readers with a backpropagation neural network computer‐aided diagnosis (CAD) system Lina Arbash Meinel, Alan H. Stolpen, Kevin S. Berbaum et al. Journal of Magnetic Resonance Imaging	142
45	Basal phenotype of ductal carcinoma in situ: recognition and immunohistologic profile David J. Dabbs, Mamatha Chivukula, Gloria Carter et al. Modern Pathology	141
46	Presentation and detection of invasive melanoma in a high-risk population Michelle McPherson, Mark Elwood, Dallas R. English et al. Journal of the American Academy of Dermatology	140
47	Validation of a Breast Cancer Nomogram for Predicting Nonsentinel Lymph Node Metastases After a Positive Sentinel Node Biopsy Laura Lambert, Gregory D. Ayers, Rosa F. Hwang et al. Annals of Surgical Oncology	139
48	Computer aided diagnosis based on medical image processing and artificial intelligence methods John Stoitsis, Ioannis Valavanis, Stavroula Mougiakakou et al. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment	138
49	Breast image registration techniques: a survey Yujun Guo, Radhika Sivaramakrishna, Cheng‐Chang Lu et al. Medical & Biological Engineering & Computing	137
50	Accuracy and Underestimation of Malignancy of Breast Core Needle Biopsy: the Florence Experience of Over 4000 Consecutive Biopsies Stefano Ciatto, Nehmat Houssami, Daniela Ambrogetti et al. Breast Cancer Research and Treatment	135

Top Papers: KI in der Krebserkennung (2006)

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