Top Papers: KI in der Krebserkennung (2009)

Die 50 meistzitierten Arbeiten zu KI in der Krebserkennung aus dem Jahr 2009 (von 1.477 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	4.839
2	Histopathological Image Analysis: A Review Metin N. Gürcan, Laura E. Boucheron, Ali Can et al. IEEE Reviews in Biomedical Engineering	2.011
3	A method for normalizing histology slides for quantitative analysis Marc Macenko, Marc Niethammer, J. S. Marron et al. —	1.295
4	The Bethesda System for Reporting Thyroid Cytopathology Edmund S. Cibas, Syed Z. Ali Thyroid	1.243
5	An Ultrasonogram Reporting System for Thyroid Nodules Stratifying Cancer Risk for Clinical Management Eleonora Horvath, Sergio Majlis, Ricardo L. Rossi et al. The Journal of Clinical Endocrinology & Metabolism	1.014
6	Automated breast cancer detection and classification using ultrasound images: A survey Heng-Da Cheng, Juan Shan, Wen Ju et al. Pattern Recognition	728
7	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	681
8	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
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	497
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	421
12	A review of automatic mass detection and segmentation in mammographic images Arnau Oliver, Jordi Freixenet, Joan Martı́ et al. Medical Image Analysis	405
13	Digital Image Processing for Medical Applications Geoff Dougherty Cambridge University Press eBooks	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	380
15	Digital Breast Tomosynthesis: Observer Performance Study David Gur, Gordon S. Abrams, Denise M. Chough et al. American Journal of Roentgenology	362
16	Overview of Advanced Computer Vision Systems for Skin Lesions Characterization Ilias Maglogiannis, Charalampos Doukas IEEE Transactions on Information Technology in Biomedicine	340
17	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
18	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
19	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	267
20	The CAPER studies: five case-control studies aimed at identifying and quantifying the risk of cancer in symptomatic primary care patients William Hamilton British Journal of Cancer	265
21	Digital breast tomosynthesis versus digital mammography: a clinical performance study Gisella Gennaro, Alicia Y. Toledano, C. Di Maggio et al. European Radiology	257
22	Proceedings of the 16th IEEE international conference on Image processing Magdy Bayoumi —	248
23	Strategies for early melanoma detection: Approaches to the patient with nevi Agnessa Gadeliya Goodson, Douglas Grossman Journal of the American Academy of Dermatology	247
24	Automatic Classification for Pathological Prostate Images Based on Fractal Analysis Po-Whei Huang, Cheng‐Hsiung Lee IEEE Transactions on Medical Imaging	218
25	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
26	Virtual microscopy in pathology education Fred R. Dee Human Pathology	210
27	Digital pathology image analysis: opportunities and challenges Anant Madabhushi Imaging in Medicine	208
28	Nuclear segmentation in microscope cell images: A hand-segmented dataset and comparison of algorithms Luís Pedro Coelho, Aabid Shariff, Robert F. Murphy —	202
29	CADx of mammographic masses and clustered microcalcifications: A review Matthias Elter, Alexander Horsch Medical Physics	201
30	Bisque: a platform for bioimage analysis and management Kristian Kvilekval, Д. В. Федоров, Bogusław Obara et al. Bioinformatics	201
31	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	200
32	Histopathology Image Classification Using Bag of Features and Kernel Functions Juan Carlos Caicedo, Angel Cruz, Fabio A. González Lecture notes in computer science	192
33	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	190
34	Systematic review of dermoscopy and digital dermoscopy/ artificial intelligence for the diagnosis of melanoma Sanjay Rajpara, Adriana Paola Botello, John Townend et al. British Journal of Dermatology	186
35	Impact of dermoscopy and short-term sequential digital dermoscopy imaging for the management of pigmented lesions in primary care: a sequential intervention trial Scott W. Menzies, Jon Emery, Margaret Staples et al. British Journal of Dermatology	182
36	Accuracy of teledermatology for pigmented neoplasms Erin M. Warshaw, Frank A. Lederle, Joseph P. Grill et al. Journal of the American Academy 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	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	159
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	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	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	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
47	The Accuracy of Colposcopic Grading for Detection of High-Grade Cervical Intraepithelial Neoplasia L. Stewart Massad, José Jerónimo, Hormuzd A. Katki et al. Journal of Lower Genital Tract Disease	153
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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