Top Papers: KI in der Krebserkennung (2005)

Die 50 meistzitierten Arbeiten zu KI in der Krebserkennung aus dem Jahr 2005 (von 1.222 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.

2003 2004 2005 2006

#	Paper	Zitationen
1	Unified segmentation John Ashburner, Karl Friston NeuroImage	7.459
2	Diagnostic Performance of Digital versus Film Mammography for Breast-Cancer Screening Etta D. Pisano, Constantine Gatsonis, Edward Hendrick et al. New England Journal of Medicine	1.933
3	The use of receiver operating characteristic curves in biomedical informatics Thomas A. Lasko, Jui G. Bhagwat, Kelly H. Zou et al. Journal of Biomedical Informatics	842
4	Mammographic breast density as an intermediate phenotype for breast cancer Norman F. Boyd, Johanna M. Rommens, Kelly Vogt et al. The Lancet Oncology	628
5	High‐throughput protein expression analysis using tissue microarray technology of a large well‐characterised series identifies biologically distinct classes of breast cancer confirming recent cDNA expression analyses Dalia M. Abd El‐Rehim, Graham Ball, Sarah E. Pinder et al. International Journal of Cancer	612
6	Approaches for automated detection and classification of masses in mammograms Heng-Da Cheng, Xiangjun Shi, Rui Min et al. Pattern Recognition	540
7	Comparison and validation of tissue modelization and statistical classification methods in T1-weighted MR brain images Meritxell Bach Cuadra, Leila Cammoun, Torsten Butz et al. IEEE Transactions on Medical Imaging	372
8	BI-RADS for Sonography: Positive and Negative Predictive Values of Sonographic Features Andrea S. Hong, Eric L. Rosen, Mary Scott Soo et al. American Journal of Roentgenology	357
9	The Association of Measured Breast Tissue Characteristics with Mammographic Density and Other Risk Factors for Breast Cancer Tong Li, Limei Sun, Naomi Miller et al. Cancer Epidemiology Biomarkers & Prevention	339
10	A study on several Machine-learning methods for classification of Malignant and benign clustered microcalcifications Liyang Wei, Yongyi Yang, Robert M. Nishikawa et al. IEEE Transactions on Medical Imaging	309
11	Computer-Aided Detection and Diagnosis in Mammography Mehul Sampat, Mia K. Markey, Alan C. Bovik Elsevier eBooks	301
12	The use of active shape models for locating structures in medical images T.F. Cootes, Andrew Hill, Chris Taylor et al. Lecture notes in computer science	296
13	Computed Tomographic Virtual Colonoscopy Computer-Aided Polyp Detection in a Screening Population Ronald M. Summers, Jianhua Yao, Perry J. Pickhardt et al. Gastroenterology	277
14	Computer aided detection (CAD): an overview Ronald A. Castellino Cancer Imaging	277
15	Mammographic Breast Density and the Gail Model for Breast Cancer Risk Prediction in a Screening Population Jeffrey A. Tice, Steven R. Cummings, Elad Ziv et al. Breast Cancer Research and Treatment	247
16	PACS and Imaging Informatics: Basic Principles and Applications Radiology	239
17	Automatic lesion boundary detection in dermoscopy images using gradient vector flow snakes Bulent Erkol, Randy H. Moss, R. Joe Stanley et al. Skin Research and Technology	233
18	Categorizing breast mammographic density: intra- and interobserver reproducibility of BI-RADS density categories Stefano Ciatto, Nehmat Houssami, A. Apruzzese et al. The Breast	230
19	STACS: new active contour scheme for cardiac MR image segmentation Charnchai Pluempitiwiriyawej, José M. F. Moura, Yijen Wu et al. IEEE Transactions on Medical Imaging	228
20	Automatic categorization of medical images for content-based retrieval and data mining Thomas Lehmann, Mark Oliver Güld, Thomas Deselaers et al. Computerized Medical Imaging and Graphics	218
21	A Basal Epithelial Phenotype Is More Frequent in Interval Breast Cancers Compared with Screen Detected Tumors Karin Collett, Ingunn M. Stefansson, Johan Eide et al. Cancer Epidemiology Biomarkers & Prevention	218
22	Development and Internal Validation of a Nomogram Predicting the Probability of Prostate Cancer Gleason Sum Upgrading Between Biopsy and Radical Prostatectomy Pathology Felix K.‐H. Chun, Thomas Steuber, Andreas Erbersdobler et al. European Urology	215
23	Artificial neural networks for diagnosis and survival prediction in colon cancer Farid Ahmed Molecular Cancer	211
24	Pap-smear Benchmark Data For Pattern Classification Jan Jantzen, Jonas Norup, Georgios Dounias et al. —	208
25	Performance Benchmarks for Diagnostic Mammography Edward A. Sickles, Diana L. Miglioretti, Rachel Ballard‐Barbash et al. Radiology	200
26	Automatic ultrasound segmentation and morphology based diagnosis of solid breast tumors Ruey‐Feng Chang, Wen-Jie Wu, Woo Kyung Moon et al. Breast Cancer Research and Treatment	195
27	Quantitative evaluation of automated skull‐stripping methods applied to contemporary and legacy images: Effects of diagnosis, bias correction, and slice location Christine Fennema‐Notestine, İbrahim Burak Özyurt, Camellia P. Clark et al. Human Brain Mapping	194
28	Automatic morphological analysis for acute leukemia identification in peripheral blood microscope images Fabio Scotti —	191
29	Computer-aided Detection with Screening Mammography in a University Hospital Setting Robyn L. Birdwell, Parul Bandodkar, Debra M. Ikeda Radiology	188
30	Automated detection of prostatic adenocarcinoma from high-resolution ex vivo MRI Anant Madabhushi, Michael D. Feldman, Dimitris Metaxas et al. IEEE Transactions on Medical Imaging	181
31	Regularized ROC method for disease classification and biomarker selection with microarray data Shuangge Ma, Jian Huang Bioinformatics	175
32	Development of ultrasound tomography for breast imaging: Technical assessment Nebojsa Duric, Peter J. Littrup, Alex Babkin et al. Medical Physics	170
33	Vessel tree reconstruction in thoracic CT scans with application to nodule detection Gady Agam, Samuel G. Armato, Changhua Wu IEEE Transactions on Medical Imaging	169
34	Unsupervised Segmentation Based on Robust Estimation and Color Active Contour Models Lin Yang, Peter Meer, David J. Foran IEEE Transactions on Information Technology in Biomedicine	168
35	Assisted Primary Screening Using the Automated ThinPrep Imaging System Charles V. Biscotti, Andrea E. Dawson, Bruce Dziura et al. American Journal of Clinical Pathology	165
36	Breast Segmentation with Pectoral Muscle Suppression on Digital Mammograms David Raba, Arnau Oliver, Joan Martı́ et al. Lecture notes in computer science	161
37	A computer-aided diagnosis system for detection of lung nodules in chest radiographs with an evaluation on a public database Arnold M. R. Schilham, Bram van Ginneken, Marco Loog Medical Image Analysis	159
38	Digital Mammography Etta D. Pisano, Martin J. Yaffe Radiology	156
39	Relevance vector machine for automatic detection of clustered microcalcifications Liyang Wei, Yongyi Yang, Robert M. Nishikawa et al. IEEE Transactions on Medical Imaging	156
40	Breast cancer diagnosis system based on wavelet analysis and fuzzy-neural Rimal Mousa, Q MUNIB, A Moussa Expert Systems with Applications	156
41	Evaluation of visual inspection with acetic acid (VIA), Lugol's iodine (VILI), cervical cytology and HPV testing as cervical screening tools in Latin America: This report refers to partial results from the LAMS (Latin AMerican Screening) study Luı́s Otávio Sarian, Sophie Derchain, Paulo Naud et al. Journal of Medical Screening	150
42	Computer-aided Detection in the United Kingdom National Breast Screening Programme: Prospective Study Lisanne Khoo, Paul Taylor, Rosalind Given-Wilson Radiology	150
43	Impact of Computer-Aided Detection in a Regional Screening Mammography Program Tommy E. Cupples, Joan E. Cunningham, James C. Reynolds American Journal of Roentgenology	149
44	Physician Predictors of Mammographic Accuracy Rebecca Smith‐Bindman, Philip Chu, Diana L. Miglioretti et al. JNCI Journal of the National Cancer Institute	144
45	Association between Mammographic Breast Density and Breast Cancer Tumor Characteristics Erin J. Aiello, Diana S.M. Buist, Emily White et al. Cancer Epidemiology Biomarkers & Prevention	143
46	Classification of breast ultrasound images using fractal feature Dar‐Ren Chen, Ruey‐Feng Chang, Chii-Jen Chen et al. Clinical Imaging	143
47	Applications and literature review of the BI-RADS classification Silvia Obenauer, K.-P. Hermann, E. Grabbe European Radiology	140
48	Phase mutual information as a similarity measure for registration Matthew Mellor, Michael Brady Medical Image Analysis	140
49	Automatic liver segmentation for volume measurement in CT Images Seong‐Jae Lim, Yong‐Yeon Jeong, Yo‐Sung Ho Journal of Visual Communication and Image Representation	139
50	Re: The Central Role of Receiver Operating Characteristic (ROC) Curves in Evaluating Tests for the Early Detection of Cancer Stefano Parodi, Alberto Izzotti, Marco Muselli JNCI Journal of the National Cancer Institute	137

Top Papers: KI in der Krebserkennung (2005)

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