Top Papers: KI in der Krebserkennung (2003)

Die 50 meistzitierten Arbeiten zu KI in der Krebserkennung aus dem Jahr 2003 (von 949 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.

2001 2002 2003 2004

#	Paper	Zitationen
1	Computed Tomographic Virtual Colonoscopy to Screen for Colorectal Neoplasia in Asymptomatic Adults Perry J. Pickhardt, J. Richard Choi, Inku Hwang et al. New England Journal of Medicine	1.970
2	Computer-aided detection and classification of microcalcifications in mammograms: a survey Heng-Da Cheng, Xiaopeng Cai, Xiaowei Chen et al. Pattern Recognition	557
3	Adjustment of systematic microarray data biases Mónica Benito, Joel S. Parker, Quan Du et al. Bioinformatics	434
4	Prediction of clinical outcome with microarray data: a partial least squares discriminant analysis (PLS-DA) approach. Miguel Pérez‐Enciso, Michel Tenenhaus PubMed	419
5	Ensemble machine learning on gene expression data for cancer classification. Aik Choon Tan, David Gilbert PubMed	410
6	Mammographic density and breast cancer in three ethnic groups. Giske Ursin, Huiyan Ma, Anna H. Wu et al. PubMed	336
7	Construction of an abdominal probabilistic atlas and its application in segmentation Hyunjin Park, Peyton H. Bland, Chuck Meyer IEEE Transactions on Medical Imaging	330
8	A hybrid 3D watershed algorithm incorporating gradient cues and object models for automatic segmentation of nuclei in confocal image stacks Gang Lin, Umesh Adiga, Kathy Olson et al. Cytometry Part A	320
9	A constructive algorithm for training cooperative neural network ensembles Md. Monirul Islam, Xin Yao, Kazuyuki Murase IEEE Transactions on Neural Networks	299
10	Textural analysis of contrast‐enhanced MR images of the breast Peter Gibbs, Lindsay W. Turnbull Magnetic Resonance in Medicine	295
11	Combining low-, high-level and empirical domain knowledge for automated segmentation of ultrasonic breast lesions Anant Madabhushi, Dimitris Metaxas IEEE Transactions on Medical Imaging	293
12	Evaluation of 3D Correspondence Methods for Model Building Martin Styner, Kumar Rajamani, Lutz‐Peter Nolte et al. Lecture notes in computer science	288
13	Contrast-enhanced Digital Mammography: Initial Clinical Experience Roberta A. Jong, Martin J. Yaffe, Mia Skarpathiotakis et al. Radiology	277
14	Missed Breast Carcinoma: Pitfalls and Pearls Aneesa S. Majid, Ellen Shaw de Paredes, Richard D. Doherty et al. Radiographics	270
15	Mammographic density is related to stroma and stromal proteoglycan expression Salem Alowami, Sandra Troup, Sahar Al‐Haddad et al. Breast Cancer Research	263
16	Breast Lesions on Sonograms: Computer-aided Diagnosis with Nearly Setting-Independent Features and Artificial Neural Networks Chung‐Ming Chen, Yi‐Hong Chou, Ko-Chung Han et al. Radiology	258
17	Level-set evolution with region competition: automatic 3-D segmentation of brain tumors Sean Ho, E. Bullitt, Guido Gerig —	258
18	The process for continuous improvement of the TNM classification Mary Gospodarowicz, Daniel M. Miller, Patti A. Groome et al. Cancer	250
19	A computer-aided diagnostic system to characterize CT focal liver lesions: design and optimization of a neural network classifier M. Gletsos, Stavroula Mougiakakou, George K. Matsopoulos et al. IEEE Transactions on Information Technology in Biomedicine	250
20	Towards a computer-aided diagnosis system for pigmented skin lesions Philippe Schmid-Saugeona, Joël Guillodb, Jean‐Philippe Thiran Computerized Medical Imaging and Graphics	235
21	Population-based Mammography Screening: Comparison of Screen-Film and Full-Field Digital Mammography with Soft-Copy Reading—Oslo I Study Per Skaane, K. C. Young, Arnulf Skjennald Radiology	222
22	International Variation in Histologic Grading Is Large, and Persistent Feedback Does Not Improve Reproducibility Peter Furness, N. Taub, Karel J.M. Assmann et al. The American Journal of Surgical Pathology	221
23	<b>Computer-Aided Detection (CAD) in Screening Mammography:</b> Sensitivity of Commercial CAD Systems for Detecting Architectural Distortion Jay A. Baker, Eric L. Rosen, Joseph Y. Lo et al. American Journal of Roentgenology	210
24	Revised American Joint Committee on Cancer Staging Criteria Accurately Predict Sentinel Lymph Node Positivity in Clinically Node-Negative Melanoma Patients Dennis L. Rousseau, Merrick I. Ross, Marcella M. Johnson et al. Annals of Surgical Oncology	199
25	<b>Improvement in Sensitivity of Screening Mammography with Computer-Aided Detection:</b>A Multiinstitutional Trial Rachel F. Brem, Janet K. Baum, Mary C. Lechner et al. American Journal of Roentgenology	190
26	Sonographic Detection and Sonographically Guided Biopsy of Breast Microcalcifications Mary Scott Soo, Jay A. Baker, Eric L. Rosen American Journal of Roentgenology	186
27	A Practical Manual on Visual Screening for Cervical Neoplasia R Sankaranarayanan, Ramani Wesley —	184
28	Dermatologist Detection and Skin Self-examination Are Associated With Thinner Melanomas Paolo Carli, Vincenzo De Giorgi, Domenico Palli et al. Archives of Dermatology	180
29	Correction of uneven illumination (vignetting) in digital microscopy images F. Joel W.-M. Leong Journal of Clinical Pathology	177
30	Obstructive Lung Diseases: Texture Classification for Differentiation at CT François Chabat, Guang‐Zhong Yang, David M. Hansell Radiology	174
31	3D/2D registration and segmentation of scoliotic vertebrae using statistical models Said Benameur, Max Mignotte, Stefan Parent et al. Computerized Medical Imaging and Graphics	173
32	Automated Storage and Retrieval of Thin-Section CT Images to Assist Diagnosis: System Description and Preliminary Assessment Alex M. Aisen, Lynn S. Broderick, Helen T. Winer-Muram et al. Radiology	169
33	Ultrasonic liver tissues classification by fractal feature vector based on M-band wavelet transform Wen-Li Lee, Yung-Chang Chen, Kai‐Sheng Hsieh IEEE Transactions on Medical Imaging	165
34	Comparison of Quantification of Histochemical Staining By Hue-Saturation-Intensity (HSI) Transformation and Color-Deconvolution Arnout Ruifrok, Ruth L. Katz, Dennis A. Johnston Applied immunohistochemistry & molecular morphology	160
35	Association of Volume and Volume-Independent Factors With Accuracy in Screening Mammogram Interpretation Craig A. Beam, Emily F. Conant, Edward A. Sickles JNCI Journal of the National Cancer Institute	159
36	A Bayesian neural network approach for modelling censored data with an application to prognosis after surgery for breast cancer Paulo Lisböa, H. Wong, Peter Harris et al. Artificial Intelligence in Medicine	159
37	A three-dimensional breast software phantom for mammography simulation Kristina Bliznakova, Zhivko Bliznakov, Vasiliki Bravou et al. Physics in Medicine and Biology	159
38	The IRMA code for unique classification of medical images Thomas Lehmann, Henning Schubert, Daniel Keysers et al. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE	158
39	A volumetric method for estimation of breast density on digitized screen‐film mammograms Olga Pawluczyk, Bindu J. Augustine, Martin J. Yaffe et al. Medical Physics	154
40	Sentinel lymph node biopsy for patients with problematic spitzoid melanocytic lesions Lyndon D. Su, Douglas R. Fullen, Vernon K. Sondak et al. Cancer	150
41	Evaluation of Abnormal Mammography Results and Palpable Breast Abnormalities Karla Kerlikowske, Rebecca Smith‐Bindman, Britt‐Marie Ljung et al. Annals of Internal Medicine	149
42	US-guided Core-Needle Biopsy of the Breast: How Many Specimens Are Necessary? Joel E. Fishman, Clara Milikowski, Rajeev Ramsinghani et al. Radiology	148
43	Computer‐assisted detection of mammographic masses: A template matching scheme based on mutual information Georgia D. Tourassi, Rene Vargas‐Voracek, David M. Catarious et al. Medical Physics	144
44	Mammographic Breast Density and Family History of Breast Cancer Elad Ziv, John Shepherd, Rebecca Smith‐Bindman et al. JNCI Journal of the National Cancer Institute	141
45	Improvement in breast tumor discrimination by support vector machines and speckle-emphasis texture analysis Ruey‐Feng Chang, Wen-Jie Wu, Woo Kyung Moon et al. Ultrasound in Medicine & Biology	141
46	Advanced presentation of melanoma in African Americans Katina M Byrd, Dawn C Wilson, Suzanna S. Hoyler et al. Journal of the American Academy of Dermatology	139
47	Comparison of Automated Versus Vacuum-Assisted Biopsy Methods for Sonographically Guided Core Biopsy of the Breast Liane E. Philpotts, Regina J. Hooley, Cheng‐Han Lee American Journal of Roentgenology	138
48	An accurate segmentation method for white blood cell images Qingmin Liao, Yingying Deng —	135
49	Computer‐aided diagnosis in high resolution CT of the lungs Ingrid C. Sluimer, P F van Waes, Max A. Viergever et al. Medical Physics	134
50	A fuzzy logic based-method for prognostic decision making in breast and prostate cancers Hüseyin Şeker, Michael Odetayo, Dobrila Petrov́ić et al. IEEE Transactions on Information Technology in Biomedicine	133

Top Papers: KI in der Krebserkennung (2003)

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