Top Papers: KI in der Krebserkennung (2010)

Die 50 meistzitierten Arbeiten zu KI in der Krebserkennung aus dem Jahr 2010 (von 1.787 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.

2008 2009 2010 2011

#	Paper	Zitationen
1	3D reconstruction of histological sections: Application to mammary gland tissue Ignacio Arganda‐Carreras, Rodrigo Fernández‐González, Arrate Muñoz‐Barrutia et al. Microscopy Research and Technique	711
2	Missing data imputation using statistical and machine learning methods in a real breast cancer problem José M. Jerez, Ignacio Molina, Pedro J. García-Laencina et al. Artificial Intelligence in Medicine	593
3	Highlights of 30 Annual Conference of Association of Medical Physicists of India (AMPICON-2009). Sanjeev Sharma PubMed	515
4	The Bethesda System for Reporting Thyroid Cytopathology —	503
5	Local binary patterns variants as texture descriptors for medical image analysis Loris Nanni, Alessandra Lumini, Sheryl Brahnam Artificial Intelligence in Medicine	497
6	Breast Tissue Composition and Susceptibility to Breast Cancer N F Boyd, Lisa J. Martin, M. J. Bronskill et al. JNCI Journal of the National Cancer Institute	475
7	Existing data sources for clinical epidemiology: the Danish National Pathology Registry and Data Bank Rune Erichsen Clinical Epidemiology	355
8	Contemporary Diagnostic Imaging Modalities for the Staging and Surveillance of Melanoma Patients: a Meta-analysis Yan Xing, Yulia Bronstein, M. I. Ross et al. JNCI Journal of the National Cancer Institute	341
9	Medical image analysis with artificial neural networks Jianmin Jiang, Paul Trundle, Jinchang Ren Computerized Medical Imaging and Graphics	337
10	Small-sample precision of ROC-related estimates Blaise Hanczar, Jianping Hua, Chao Sima et al. Bioinformatics	325
11	Dual-energy contrast-enhanced digital mammography: initial clinical results Clarisse Dromain, Fabienne Thibault, Serge Muller et al. European Radiology	283
12	Using Biomarkers as Objective Standards in the Diagnosis of Cervical Biopsies Mary T. Galgano, Philip E. Castle, Kristen A. Atkins et al. The American Journal of Surgical Pathology	266
13	Image Segmentation Using Deformable Models Chenyang Xu, Dzung L. Pham, Jerry L. Prince SPIE eBooks	265
14	A Boosted Bayesian Multiresolution Classifier for Prostate Cancer Detection From Digitized Needle Biopsies Scott Doyle, Michael D. Feldman, John Tomaszewski et al. IEEE Transactions on Biomedical Engineering	257
15	Digital images and the future of digital pathology Liron Pantanowitz Journal of Pathology Informatics	235
16	Effect of training-sample size and classification difficulty on the accuracy of genomic predictors Vlad Popovici, Weijie Chen, Brandon D. Gallas et al. Breast Cancer Research	228
17	The Performance of MelaFind Gary D. Monheit, Armand B. Cognetta, Laura K. Ferris et al. Archives of Dermatology	227
18	Automated Detection of Cell Nuclei in Pap Smear Images Using Morphological Reconstruction and Clustering Marina E. Plissiti, Christophoros Nikou, Antonia Charchanti IEEE Transactions on Information Technology in Biomedicine	221
19	Segmenting Clustered Nuclei Using H-minima Transform-Based Marker Extraction and Contour Parameterization Chanho Jung, Changick Kim IEEE Transactions on Biomedical Engineering	219
20	The Positive Predictive Value of BI-RADS Microcalcification Descriptors and Final Assessment Categories Chris Bent, Lawrence W. Bassett, Carl J. D’Orsi et al. American Journal of Roentgenology	211
21	Digital Mammography Imaging: Breast Tomosynthesis and Advanced Applications Mark A. Helvie Radiologic Clinics of North America	205
22	Predicting breast cancer survivability using data mining techniques Ahad Soltani Sarvestani, Afsaneh Safavi, N.M. Parandeh et al. —	203
23	Robust Breast Composition Measurement - VolparaTM Ralph Highnam, Sir Michael Brady, Martin J. Yaffe et al. Lecture notes in computer science	199
24	Comparison of Acquisition Parameters and Breast Dose in Digital Mammography and Screen-Film Mammography in the American College of Radiology Imaging Network Digital Mammographic Imaging Screening Trial R. Edward Hendrick, Etta D. Pisano, Alice Averbukh et al. American Journal of Roentgenology	197
25	Expectation–Maximization-Driven Geodesic Active Contour With Overlap Resolution (EMaGACOR): Application to Lymphocyte Segmentation on Breast Cancer Histopathology Hussain Fatakdawala, Jun Xu, Ajay Basavanhally et al. IEEE Transactions on Biomedical Engineering	194
26	Avoiding Twisted Pixels: Ethical Guidelines for the Appropriate Use and Manipulation of Scientific Digital Images Douglas W. Cromey Science and Engineering Ethics	180
27	Segmentation of pulmonary nodules of various densities with morphological approaches and convexity models Toshiro Kubota, Anna Jerebko, M. Ali Akber Dewan et al. Medical Image Analysis	179
28	Incidental Findings in Imaging Research Nicholas M. Orme, Joel G. Fletcher, Hassan Siddiki et al. Archives of Internal Medicine	165
29	An identification method of malignant and benign liver tumors from ultrasonography based on GLCM texture features and fuzzy SVM Guangming Xian Expert Systems with Applications	164
30	Machine learning techniques to diagnose breast cancer Alireza Osareh, Bita Shadgar —	161
31	Probability density difference-based active contour for ultrasound image segmentation Bo Liu, Heng-Da Cheng, Jianhua Huang et al. Pattern Recognition	149
32	The accuracy of digital infrared imaging for breast cancer detection in women undergoing breast biopsy Gordon Wishart, Matthew Campisi, Mark V Boswell et al. European Journal of Surgical Oncology	146
33	Breast tomosynthesis: Accuracy of tumor measurement compared with digital mammography and ultrasonography Daniel Förnvik, Sophia Zackrisson, Otto Ljungberg et al. Acta Radiologica	143
34	Expert system based on neuro-fuzzy rules for diagnosis breast cancer Ali Keleş, Aytürk Keleş, Uğur Yavuz et al. Expert Systems with Applications	143
35	Multicenter Study of Ultrasound Real-Time Tissue Elastography in 779 Cases for the Assessment of Breast Lesions: Improved Diagnostic Performance by Combining the BI-RADS®-US Classification System with Sonoelastography Sebastian Wojcinski, A. Farrokh, S. Weber et al. Ultraschall in der Medizin - European Journal of Ultrasound	142
36	Automatic Liver Segmentation Using a Statistical Shape Model With Optimal Surface Detection Xing Zhang, Jie Tian, Kexin Deng et al. IEEE Transactions on Biomedical Engineering	142
37	Unsupervised Segmentation of Overlapped Nuclei Using Bayesian Classification Chanho Jung, Changick Kim, Seoung Wan Chae et al. IEEE Transactions on Biomedical Engineering	141
38	Assessing heterogeneity of lesion enhancement kinetics in dynamic contrast-enhanced MRI for breast cancer diagnosis Anna Karahaliou, Katerina Vassiou, Nikos Arikidis et al. British Journal of Radiology	137
39	Prostate Cancer Localization With Multispectral MRI Using Cost-Sensitive Support Vector Machines and Conditional Random Fields Yusuf Artan, Masoom A. Haider, Deanna L. Langer et al. IEEE Transactions on Image Processing	136
40	Contourlet-based mammography mass classification using the SVM family Fatemeh Moayedi, Zohreh Azimifar, Reza Boostani et al. Computers in Biology and Medicine	134
41	Breast cancer risk estimation with artificial neural networks revisited Turgay Ayer, Oğuzhan Alagöz, Jagpreet Chhatwal et al. Cancer	131
42	On Combining Computer-Aided Detection Systems Meindert Niemeijer, Marco Loog, Michael D. Abràmoff et al. IEEE Transactions on Medical Imaging	130
43	Predicting Survival Outcome of Localized Melanoma: An Electronic Prediction Tool Based on the AJCC Melanoma Database Seng-Jaw Soong, Shouluan Ding, Daniel G. Coit et al. Annals of Surgical Oncology	128
44	Computer-aided diagnosis of pulmonary nodules using a two-step approach for feature selection and classifier ensemble construction Michael Lee, Lilla Boroczky, Kivilcim Sungur-Stasik et al. Artificial Intelligence in Medicine	128
45	Automated breast profile segmentation for ROI detection using digital mammograms Jawad Nagi, Sameem Abdul Kareem, Farrukh Nagi et al. —	127
46	Real‐time Virtual Sonography for navigation during targeted prostate biopsy using magnetic resonance imaging data Tomoaki Miyagawa, Satoru Ishikawa, Tomokazu Kimura et al. International Journal of Urology	123
47	High-throughput detection of prostate cancer in histological sections using probabilistic pairwise Markov models James Monaco, John E. Tomaszewski, Michael D. Feldman et al. Medical Image Analysis	123
48	Digital Breast Tomosynthesis in the Diagnostic Environment: A Subjective Side-by-Side Review Christiane M. Hakim, Denise M. Chough, Marie A. Ganott et al. American Journal of Roentgenology	123
49	Review of imaging solutions for integrated quantitative immunohistochemistry in the Pathology daily practice. Marcial GarcĂa Rojo, Gloria Bueno, J Słodkowska Folia Histochemica et Cytobiologica	123
50	Optimal Breast Biopsy Decision-Making Based on Mammographic Features and Demographic Factors Jagpreet Chhatwal, Oğuzhan Alagöz, Elizabeth S. Burnside Operations Research	122

Top Papers: KI in der Krebserkennung (2010)

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