Top Papers: KI in der Krebserkennung (2009)

Die 50 meistzitierten Arbeiten zu KI in der Krebserkennung aus dem Jahr 2009 (von 1.469 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.

2007 2008 2009 2010

#	Paper	Zitationen
1	Supervised Risk Predictor of Breast Cancer Based on Intrinsic Subtypes Joel S. Parker, Michael E. Mullins, Maggie C.U. Cheang et al. Journal of Clinical Oncology	4.811
2	Histopathological Image Analysis: A Review Metin N. Gürcan, Laura E. Boucheron, Ali Can et al. IEEE Reviews in Biomedical Engineering	2.002
3	A method for normalizing histology slides for quantitative analysis Marc Macenko, Marc Niethammer, J. S. Marron et al. —	1.280
4	Automated breast cancer detection and classification using ultrasound images: A survey Heng-Da Cheng, Juan Shan, Wen Ju et al. Pattern Recognition	725
5	Improved Automatic Detection and Segmentation of Cell Nuclei in Histopathology Images Yousef Al‐Kofahi, Wiem Lassoued, W. Lee et al. IEEE Transactions on Biomedical Engineering	680
6	Computer-Aided Detection and Diagnosis of Breast Cancer With Mammography: Recent Advances Jinshan Tang, Rangaraj M. Rangayyan, Jun Xu et al. IEEE Transactions on Information Technology in Biomedicine	620
7	Robust biomarker identification for cancer diagnosis with ensemble feature selection methods Thomas Abeel, Thibault Helleputte, Yves Van de Peer et al. Bioinformatics	579
8	An Update of the Gleason Grading System Jonathan I. Epstein The Journal of Urology	523
9	Breast cancer detection using automated whole breast ultrasound and mammography in radiographically dense breasts Kevin M. Kelly, Judy Dean, W. Scott Comulada et al. European Radiology	495
10	The contribution of gene expression profiling to breast cancer classification, prognostication and prediction: a retrospective of the last decade Britta Weigelt, Frederick L. Baehner, Jorge S. Reis‐Filho The Journal of Pathology	483
11	Lesion border detection in dermoscopy images M. Emre Celebi, Hitoshi Iyatomi, Gerald Schaefer et al. Computerized Medical Imaging and Graphics	420
12	Digital Image Processing for Medical Applications Geoff Dougherty Cambridge University Press eBooks	403
13	A review of automatic mass detection and segmentation in mammographic images Arnau Oliver, Jordi Freixenet, Joan Martı́ et al. Medical Image Analysis	403
14	Overview of telepathology, virtual microscopy, and whole slide imaging: prospects for the future Ronald S. Weinstein, Anna R. Graham, Lynne Richter et al. Human Pathology	379
15	Digital Breast Tomosynthesis: Observer Performance Study David Gur, Gordon S. Abrams, Denise M. Chough et al. American Journal of Roentgenology	362
16	Results of a Multi-Institution Deformable Registration Accuracy Study (MIDRAS) Kristy K. Brock International Journal of Radiation OncologyBiologyPhysics	360
17	Overview of Advanced Computer Vision Systems for Skin Lesions Characterization Ilias Maglogiannis, Charalampos Doukas IEEE Transactions on Information Technology in Biomedicine	339
18	A review of algorithms for medical image segmentation and their applications to the female pelvic cavity Zhen Ma, João Manuel R. S. Tavares, Renato Natal Jorge et al. Computer Methods in Biomechanics & Biomedical Engineering	314
19	Shape-Based Computer-Aided Detection of Lung Nodules in Thoracic CT Images Xujiong Ye, Xinyu Lin, Jamshid Dehmeshki et al. IEEE Transactions on Biomedical Engineering	297
20	Computerized Image-Based Detection and Grading of Lymphocytic Infiltration in HER2+ Breast Cancer Histopathology Ajay Basavanhally, Shridar Ganesan, Shannon C. Agner et al. IEEE Transactions on Biomedical Engineering	266
21	Variability in Interpretive Performance at Screening Mammography and Radiologists’ Characteristics Associated with Accuracy Joann G. Elmore, Sara L. Jackson, Linn Abraham et al. Radiology	257
22	Digital breast tomosynthesis versus digital mammography: a clinical performance study Gisella Gennaro, Alicia Y. Toledano, C. Di Maggio et al. European Radiology	257
23	Proceedings of the 16th IEEE international conference on Image processing Magdy Bayoumi —	247
24	The myth of the 50‐50 breast Martin J. Yaffe, John M. Boone, Nathan J. Packard et al. Medical Physics	245
25	Strategies for early melanoma detection: Approaches to the patient with nevi Agnessa Gadeliya Goodson, Douglas Grossman Journal of the American Academy of Dermatology	245
26	Automatic Classification for Pathological Prostate Images Based on Fractal Analysis Po-Whei Huang, Cheng‐Hsiung Lee IEEE Transactions on Medical Imaging	218
27	Automatic Imaging System With Decision Support for Inspection of Pigmented Skin Lesions and Melanoma Diagnosis Jose Fernandez Alcon, Calina Ciuhu, Warner ten Kate et al. IEEE Journal of Selected Topics in Signal Processing	213
28	Virtual microscopy in pathology education Fred R. Dee Human Pathology	210
29	Digital pathology image analysis: opportunities and challenges Anant Madabhushi Imaging in Medicine	208
30	Breast Imaging Reporting and Data System Lexicon for US: Interobserver Agreement for Assessment of Breast Masses Nouf Abdullah, Benoı̂t Mesurolle, Mona El‐Khoury et al. Radiology	202
31	Nuclear segmentation in microscope cell images: A hand-segmented dataset and comparison of algorithms Luís Pedro Coelho, Aabid Shariff, Robert F. Murphy —	201
32	CADx of mammographic masses and clustered microcalcifications: A review Matthias Elter, Alexander Horsch Medical Physics	200
33	Noise injection for training artificial neural networks: A comparison with weight decay and early stopping Richard M. Zur, Yulei Jiang, Lorenzo L. Pesce et al. Medical Physics	198
34	Histopathology Image Classification Using Bag of Features and Kernel Functions Juan Carlos Caicedo, Angel Cruz, Fabio A. González Lecture notes in computer science	191
35	A Framework for White Blood Cell Segmentation in Microscopic Blood Images Using Digital Image Processing Farnoosh Sadeghian, Zainina Seman, Abdul Rahman Ramli et al. Biological Procedures Online	188
36	Disparity in Melanoma Shasa Hu, Yisrael Parmet, Glenn O. Allen et al. Archives of Dermatology	176
37	Comparison of Logistic Regression and Artificial Neural Network Models in Breast Cancer Risk Estimation Turgay Ayer, Jagpreet Chhatwal, Oğuzhan Alagöz et al. Radiographics	171
38	Whole-Slide Imaging Digital Pathology as a Platform for Teleconsultation: A Pilot Study Using Paired Subspecialist Correlations David C. Wilbur, Kalil Madi, Robert B. Colvin et al. Archives of Pathology & Laboratory Medicine	168
39	EANM-EORTC general recommendations for sentinel node diagnostics in melanoma Annette H. Chakera, Birger Hesse, Zeynep Burak et al. European Journal of Nuclear Medicine and Molecular Imaging	165
40	Primary frozen section diagnosis by robotic microscopy and virtual slide telepathology: the University Health Network experience Andrew Evans, Runjan Chetty, Blaise Clarke et al. Human Pathology	163
41	Breast tomosynthesis in clinical practice: initial results Hendrik J. Teertstra, Claudette E. Loo, Maurice A. A. J. van den Bosch et al. European Radiology	161
42	Initial Efficacy Results of RTOG 0319: Three-Dimensional Conformal Radiation Therapy (3D-CRT) Confined to the Region of the Lumpectomy Cavity for Stage I/ II Breast Carcinoma Frank A. Vicini, Kathryn Winter, John Wong et al. International Journal of Radiation OncologyBiologyPhysics	160
43	Comparative Accuracy of Mammography and Ultrasound in Women with Breast Symptoms According to Age and Breast Density Emine Devolli-Disha, Suzana Manxhuka-Kërliu, Halit Ymeri et al. Bosnian Journal of Basic Medical Sciences	159
44	Exploring nonlinear feature space dimension reduction and data representation in breast CADx with Laplacian eigenmaps and ‐SNE Andrew R. Jamieson, Maryellen L. Giger, Karen Drukker et al. Medical Physics	158
45	Pap smear diagnosis using a hybrid intelligent scheme focusing on genetic algorithm based feature selection and nearest neighbor classification Yannis Marinakis, Georgios Dounias, Jan Jantzen Computers in Biology and Medicine	158
46	Fully automatic and segmentation-robust classification of breast tumors based on local texture analysis of ultrasound images Bo Liu, Heng-Da Cheng, Jianhua Huang et al. Pattern Recognition	157
47	Characterization of Breast Cancer Types by Texture Analysis of Magnetic Resonance Images K. K. Holli, Anna-Leena Lääperi, Lara Harrison et al. Academic Radiology	155
48	Selection of diagnostic features on breast MRI to differentiate between malignant and benign lesions using computer-aided diagnosis: differences in lesions presenting as mass and non-mass-like enhancement Dustin Newell, Ke Nie, Jeon‐Hor Chen et al. European Radiology	151
49	Positive Predictive Value of Specific Mammographic Findings according to Reader and Patient Variables Aruna Venkatesan, Philip Chu, Karla Kerlikowske et al. Radiology	149
50	Advanced Segmentation Techniques for Lung Nodules, Liver Metastases, and Enlarged Lymph Nodes in CT Scans Jan Hendrik Moltz, Lars Bornemann, Jan‐Martin Kuhnigk et al. IEEE Journal of Selected Topics in Signal Processing	147

Top Papers: KI in der Krebserkennung (2009)

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