Top Papers: KI in der Krebserkennung (2007)

Die 50 meistzitierten Arbeiten zu KI in der Krebserkennung aus dem Jahr 2007 (von 1.328 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.

2005 2006 2007 2008

#	Paper	Zitationen
1	Mammographic Density and the Risk and Detection of Breast Cancer Norman F. Boyd, Helen Guo, Lisa J. Martin et al. New England Journal of Medicine	2.442
2	Applications of machine learning in cancer prediction and prognosis. Joseph A. Cruz, David S. Wishart PubMed	893
3	Training neural network classifiers for medical decision making: The effects of imbalanced datasets on classification performance Maciej A. Mazurowski, Piotr A. Habas, Jacek M. Zurada et al. Neural Networks	728
4	A methodological approach to the classification of dermoscopy images M. Emre Celebi, Hassan A. Kingravi, Bakhtiyar Uddin et al. Computerized Medical Imaging and Graphics	671
5	Critical Review of Published Microarray Studies for Cancer Outcome and Guidelines on Statistical Analysis and Reporting A. Dupuy, Richard Simon JNCI Journal of the National Cancer Institute	632
6	Influence of Computer-Aided Detection on Performance of Screening Mammography Joshua J. Fenton, Stephen H. Taplin, Patricia A. Carney et al. New England Journal of Medicine	604
7	Digital Breast Tomosynthesis: Initial Experience in 98 Women with Abnormal Digital Screening Mammography Steven P. Poplack, Tor D. Tosteson, Christine Kogel et al. American Journal of Roentgenology	450
8	Cancer Yield of Mammography, MR, and US in High-Risk Women: Prospective Multi-Institution Breast Cancer Screening Study Constance D. Lehman, Claudine Isaacs, Mitchell D. Schnall et al. Radiology	396
9	Improve Computer-Aided Diagnosis With Machine Learning Techniques Using Undiagnosed Samples Ming Li, Zhi‐Hua Zhou IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans	381
10	Holistic Component of Image Perception in Mammogram Interpretation: Gaze-tracking Study Harold L. Kundel, Calvin F. Nodine, Emily F. Conant et al. Radiology	375
11	Multifeature Prostate Cancer Diagnosis and Gleason Grading of Histological Images Ali Tabesh, Mikhail Teverovskiy, Ho-Yuen Pang et al. IEEE Transactions on Medical Imaging	358
12	Mammographic density, breast cancer risk and risk prediction Celine M. Vachon, Carla H. van Gils, Thomas A. Sellers et al. Breast Cancer Research	343
13	Volumetric texture analysis of breast lesions on contrast‐enhanced magnetic resonance images Weijie Chen, Maryellen L. Giger, Hui Li et al. Magnetic Resonance in Medicine	293
14	The prediction of breast cancer biopsy outcomes using two CAD approaches that both emphasize an intelligible decision process Matthias Elter, R Schulz-Wendtland, Thomas Wittenberg Medical Physics	276
15	Visual grading characteristics (VGC) analysis: a non-parametric rank-invariant statistical method for image quality evaluation Magnus Båth, L G Månsson British Journal of Radiology	274
16	Longitudinal Measurement of Clinical Mammographic Breast Density to Improve Estimation of Breast Cancer Risk Karla Kerlikowske, Laura Ichikawa, Diana L. Miglioretti et al. JNCI Journal of the National Cancer Institute	259
17	Breast Tomosynthesis: Present Considerations and Future Applications Jeong Mi Park, Edmund A. Franken, Megha Garg et al. Radiographics	246
18	Screening, early detection, and trends for melanoma: Current status (2000-2006) and future directions Alan C. Geller, Susan M. Swetter, Katie Brooks et al. Journal of the American Academy of Dermatology	245
19	Predicting features of breast cancer with gene expression patterns Xuesong Lu, Xin Lü, Zhigang C. Wang et al. Breast Cancer Research and Treatment	245
20	Common Tasks in Microscopic and Ultrastructural Image Analysis Using ImageJ Francesca Marzia Papadopulos, Matthew A. Spinelli, Sabrina Valente et al. Ultrastructural Pathology	236
21	AUTOMATED GRADING OF PROSTATE CANCER USING ARCHITECTURAL AND TEXTURAL IMAGE FEATURES Scott Doyle, M. Hwang, Kinsuk Shah et al. —	227
22	Randomized Trial of Screen-Film versus Full-Field Digital Mammography with Soft-Copy Reading in Population-based Screening Program: Follow-up and Final Results of Oslo II Study Per Skaane, Solveig Hofvind, Arnulf Skjennald Radiology	226
23	Recommendations for Improved Standardization of Immunohistochemistry Neal S. Goldstein, Stephen M. Hewitt, Clive R. Taylor et al. Applied immunohistochemistry & molecular morphology	221
24	A Framework for Medical Image Retrieval Using Machine Learning and Statistical Similarity Matching Techniques With Relevance Feedback Md Mahmudur Rahman, Prabir Bhattacharya, Bipin C. Desai IEEE Transactions on Information Technology in Biomedicine	210
25	Use of Microcalcification Descriptors in BI-RADS 4th Edition to Stratify Risk of Malignancy Elizabeth S. Burnside, Jennifer E. Ochsner, Kathryn J. Fowler et al. Radiology	204
26	Mammographic Breast Density as a General Marker of Breast Cancer Risk Celine M. Vachon, Kathleen R. Brandt, Karthik Ghosh et al. Cancer Epidemiology Biomarkers & Prevention	202
27	Mammographic Breast Density and Race Marcela G. del Carmen, Elkan F. Halpern, Daniel B. Kopans et al. American Journal of Roentgenology	188
28	An intelligent system for automated breast cancer diagnosis and prognosis using SVM based classifiers Ilias Maglogiannis, Elias Zafiropoulos, Ioannis Anagnostopoulos Applied Intelligence	184
29	Missed Breast Cancers at US-guided Core Needle Biopsy: How to Reduce Them Ji Hyun Youk, Eun‐Kyung Kim, Min Jung Kim et al. Radiographics	181
30	A comparative study on thyroid disease diagnosis using neural networks Feyzullah Temurtaş Expert Systems with Applications	178
31	How 2 HAWC2, the user's manual Torben J. Larsen, Anders Melchior Hansen —	177
32	Towards an intelligent medical system for the aesthetic evaluation of breast cancer conservative treatment Jaime S. Cardoso, Maria João Cardoso Artificial Intelligence in Medicine	176
33	Current status and future directions of computer-aided diagnosis in mammography Robert M. Nishikawa Computerized Medical Imaging and Graphics	176
34	Observer variability of Breast Imaging Reporting and Data System (BI-RADS) for breast ultrasound Hye‐Jeong Lee, Eun‐Kyung Kim, Min Jung Kim et al. European Journal of Radiology	175
35	Shape Constrained Automatic Segmentation of the Liver based on a Heuristic Intensity Model Dagmar Kainmüller, Thomas Lange, Hans Lamecker —	174
36	Morphological Granulometric Features of Nucleus in Automatic Bone Marrow White Blood Cell Classification Nipon Theera‐Umpon, Sompong Dhompongsa IEEE Transactions on Information Technology in Biomedicine	173
37	Object oriented data analysis: Sets of trees Haonan Wang, J. S. Marron The Annals of Statistics	167
38	Accuracy of reading liquid based cytology slides using the ThinPrep Imager compared with conventional cytology: prospective study Elizabeth Davey, Jefferson d'Assuncao, Les Irwig et al. BMJ	166
39	A Concentric Morphology Model for the Detection of Masses in Mammography Nevine H. Eltonsy, Georgia D. Tourassi, Adel Elmaghraby IEEE Transactions on Medical Imaging	165
40	Targeted Biopsy of the Prostate: The Impact of Color Doppler Imaging and Elastography on Prostate Cancer Detection and Gleason Score Eric D. Nelson, Craig B. Slotoroff, Leonard G. Gomella et al. Urology	158
41	Full-Field Digital Versus Screen-Film Mammography: Comparative Accuracy in Concurrent Screening Cohorts Marco Rosselli Del Turco, Paola Mantellini, Stefano Ciatto et al. American Journal of Roentgenology	157
42	Superior survival of females among 10 538 Dutch melanoma patients is independent of Breslow thickness, histologic type and tumor site Esther de Vries, Tamar Nijsten, Otto Visser et al. Annals of Oncology	153
43	Visualization in Medicine: Theory, Algorithms, and Applications Bernhard Preim, Dirk Bartz —	147
44	Assessment of Medical Imaging Systems and Computer Aids: A Tutorial Review Robert F. Wagner, Charles E. Metz, Gregory Campbell Academic Radiology	141
45	Independent Histogram Pursuit for Segmentation of Skin Lesions David Delgado Gomez, Constantine Butakoff, Bjarne Kjær Ersbøll et al. IEEE Transactions on Biomedical Engineering	137
46	Malignant and Benign Breast Masses on 3D US Volumetric Images: Effect of Computer-aided Diagnosis on Radiologist Accuracy Berkman Sahiner, Heang‐Ping Chan, Marilyn A. Roubidoux et al. Radiology	135
47	Performance analysis of a new computer aided detection system for identifying lung nodules on chest radiographs Russell C. Hardie, Steven K. Rogers, Terry Wilson et al. Medical Image Analysis	134
48	Computed virtual chromoendoscopy: a new tool for enhancing tissue surface structures J Pohl, Andrea May, Thomas Rabenstein et al. Endoscopy	133
49	ROC analysis in medical imaging: a tutorial review of the literature Charles E. Metz Radiological Physics and Technology	130
50	Sonographically Guided 14-Gauge Core Needle Biopsy of Breast Masses: A Review of 2,420 Cases with Long-Term Follow-Up Ji Hyun Youk, Eun‐Kyung Kim, Min Jung Kim et al. American Journal of Roentgenology	128

Top Papers: KI in der Krebserkennung (2007)

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