Top Papers: KI in der Krebserkennung (2001)

Die 50 meistzitierten Arbeiten zu KI in der Krebserkennung aus dem Jahr 2001 (von 635 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.

2000 2001 2002

#	Paper	Zitationen
1	Screening Mammography with Computer-aided Detection: Prospective Study of 12,860 Patients in a Community Breast Center Timothy W. Freer, Michael J. Ulissey Radiology	753
2	Computer-aided diagnosis in chest radiography: a survey Bram van Ginneken, Bart M. ter Haar Romeny, Max A. Viergever IEEE Transactions on Medical Imaging	516
3	Comparison of Breast Magnetic Resonance Imaging, Mammography, and Ultrasound for Surveillance of Women at High Risk for Hereditary Breast Cancer Ellen Warner, Donald B. Plewes, Rene Shumak et al. Journal of Clinical Oncology	460
4	Introduction to the DICOM standard Peter Mildenberger, Marco Eichelberg, E Martin European Radiology	459
5	Automated detection of pulmonary nodules in helical CT images based on an improved template-matching technique Yongbum Lee, Takeshi Hara, Hiroshi Fujita et al. IEEE Transactions on Medical Imaging	457
6	Recent Trends in Cutaneous Melanoma Incidence Among Whites in the United States Ahmedin Jemal, Susan S. Devesa, P. Hartge et al. JNCI Journal of the National Cancer Institute	453
7	Human observer detection experiments with mammograms and power‐law noise Arthur E. Burgess, Francine L. Jacobson, Philip F. Judy Medical Physics	448
8	Mammographic Characteristics of 115 Missed Cancers Later Detected with Screening Mammography and the Potential Utility of Computer-aided Detection Robyn L. Birdwell, Debra M. Ikeda, Kathryn F. O′Shaughnessy et al. Radiology	427
9	Interaction in the segmentation of medical images: A survey Sílvia D. Olabarriaga, A.W.M. Smeulders Medical Image Analysis	379
10	<title>Segmentation of medical images using adaptive region growing</title> Regina Pohle-Fröhlich, Klaus D. Toennies Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE	310
11	Comparison of Full-Field Digital Mammography with Screen-Film Mammography for Cancer Detection: Results of 4,945 Paired Examinations John Lewin, R. Edward Hendrick, Carl J. D’Orsi et al. Radiology	304
12	Re: Magnetic Resonance Imaging and Mammography in Women With a Hereditary Risk of Breast Cancer Jan Goffin, Pierre O. Chappuis, Nora Wong et al. JNCI Journal of the National Cancer Institute	285
13	Biomarker Identification by Feature Wrappers Momiao Xiong, Xiangzhong Fang, Jinying Zhao Genome Research	267
14	A Comparison of Machine Learning Methods for the Diagnosis of Pigmented Skin Lesions Stephan Dreiseitl, Lucila Ohno‐Machado, Harald Kittler et al. Journal of Biomedical Informatics	263
15	Fully automatic anatomical, pathological, and functional segmentation from CT scans for hepatic surgery Luc Soler, Hervé Delingette, Grégoire Malandain et al. Computer Aided Surgery	261
16	Classification of ultrasonic B-mode images of breast masses using Nakagami distribution P.M. Shankar, V.A. Dumane, John M. Reid et al. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control	234
17	Fully Automatic Anatomical, Pathological, and Functional Segmentation from CT Scans for Hepatic Surgery Luc Soler, Hervé Delingette, Grégoire Malandain et al. Computer Aided Surgery	231
18	Detection of breast masses in mammograms by density slicing and texture flow-field analysis Naga R. Mudigonda, Rangaraj M. Rangayyan, J. E. Leo Desautels IEEE Transactions on Medical Imaging	230
19	Automatic differentiation of melanoma from melanocytic nevi with multispectral digital dermoscopy: A feasibility study Marek Elbaum, Alfred W. Kopf, Harold Rabinovitz et al. Journal of the American Academy of Dermatology	218
20	A computer-aided diagnosis system for digital mammograms based on fuzzy-neural and feature extraction techniques Brijesh Verma, J. Zakos IEEE Transactions on Information Technology in Biomedicine	217
21	Telepathology overview: From concept to implementation Ronald S. Weinstein, Michael R. Descour, Liang Chen et al. Human Pathology	213
22	Comparison of a virtual microscope laboratory to a regular microscope laboratory for teaching histology Tonya Harris, Timothy Leaven, Paul M. Heidger et al. The Anatomical Record	211
23	Diagnostic accuracy of fine-needle aspiration biopsy is determined by physician training in sampling technique Britt–Marie Ljung, Anne Drejet, Nona Chiampi et al. Cancer	206
24	Cervical cancer screening by simple visual inspection after acetic acid J. L. Belinson Obstetrics and Gynecology	190
25	Improvement of mammographic mass characterization using spiculation measures and morphological features Berkman Sahiner, Heang‐Ping Chan, Nicholas Petrick et al. Medical Physics	187
26	Guest editorial computer-aided diagnosis in medical imaging Maryellen L. Giger, Nico Karssemeijer, Samuel G. Armato IEEE Transactions on Medical Imaging	187
27	Automatic segmentation of breast lesions on ultrasound Karla Horsch, Maryellen L. Giger, Luz A. Venta et al. Medical Physics	184
28	Computerized image analysis: Estimation of breast density on mammograms Chuan Zhou, Heang‐Ping Chan, Nicholas Petrick et al. Medical Physics	175
29	Computer-aided characterization of mammographic masses: accuracy of mass segmentation and its effects on characterization Berkman Sahiner, Nicholas Petrick, Heang‐Ping Chan et al. IEEE Transactions on Medical Imaging	174
30	Sonographically Guided Directional Vacuum-Assisted Breast Biopsy Using a Handheld Device Steve H. Parker, Anita J. Klaus, Patrick J. Mc Wey et al. American Journal of Roentgenology	165
31	A statistical 3-D pattern processing method for computer-aided detection of polyps in CT colonography S.B. Gokturk, Carlo Tomasi, Burak Acar et al. IEEE Transactions on Medical Imaging	163
32	Calcifications of Lobular Carcinoma In Situ of the Breast Dianne Georgian-Smith, Thomas J. Lawton American Journal of Roentgenology	153
33	Ethnic differences in mammographic densities Gertraud Maskarinec, Lixin Meng, Giske Ursin International Journal of Epidemiology	152
34	Analysis of asymmetry in mammograms via directional filtering with Gabor wavelets Ricardo J. Ferrari, Rangaraj M. Rangayyan, J. E. Leo Desautels et al. IEEE Transactions on Medical Imaging	152
35	Biopsy of Amorphous Breast Calcifications: Pathologic Outcome and Yield at Stereotactic Biopsy Wendie A. Berg, Christina L. Arnoldus, E. Teferra et al. Radiology	148
36	Robust midsagittal plane extraction from normal and pathological 3-D neuroradiology images Yanxi Liu, Robert T. Collins, William E. Rothfus IEEE Transactions on Medical Imaging	147
37	An artificial intelligent algorithm for tumor detection in screening mammogram Zhen Lei, Andrew K. Chan IEEE Transactions on Medical Imaging	146
38	Potential of Computer-aided Diagnosis to Reduce Variability in Radiologists’ Interpretations of Mammograms Depicting Microcalcifications Yulei Jiang, Robert M. Nishikawa, Robert A. Schmidt et al. Radiology	139
39	Breast Biopsy Avoidance: The Value of Normal Mammograms and Normal Sonograms in the Setting of a Palpable Lump Mark A. Dennis, Steve H. Parker, Anita J. Klaus et al. Radiology	139
40	Association of Recall Rates with Sensitivity and Positive Predictive Values of Screening Mammography Bonnie C. Yankaskas, Rebecca J. Cleveland, Michael J. Schell et al. American Journal of Roentgenology	139
41	Multiresolution detection of spiculated lesions in digital mammograms Sheng Liu, Charles F. Babbs, Edward J. Delp IEEE Transactions on Image Processing	138
42	Toward a standardized breast ultrasound lexicon, BI-RADS: Ultrasound Ellen B. Mendelson, Wendie A. Berg, Christopher R. B. Merritt Seminars in Roentgenology	137
43	Microarray and histopathological analysis of tumours: the future and the past? Sunil R. Lakhani, Alan Ashworth Nature reviews. Cancer	137
44	Stereotactic Core-Needle Breast Biopsy: A Multi-institutional Prospective Trial R. James Brenner, Lawrence W. Bassett, Laurie L. Fajardo et al. Radiology	136
45	Data mining with decision trees for diagnosis of breast tumor in medical ultrasonic images Wen-Jia Kuo, Ruey‐Feng Chang, Dar‐Ren Chen et al. Breast Cancer Research and Treatment	132
46	An efficient method based on watershed and rule-based merging for segmentation of 3-D histo-pathological images P.S. Umesh Adiga, B.B. Chaudhuri Pattern Recognition	124
47	Snakes on the watershed Jae-Sang Park, James M. Keller IEEE Transactions on Pattern Analysis and Machine Intelligence	121
48	Creating a high-resolution spatial/symbolic model of the inner organs based on the Visible Human A. Pommert, Κ. H. Höhne, B. Pflesser et al. Medical Image Analysis	121
49	Fractal dimension on dental radiographs Anne Marie Bollen, Akira Taguchi, Philippe P. Hujoel et al. Dentomaxillofacial Radiology	120
50	Computerized radiographic mass detection. I. Lesion site selection by morphological enhancement and contextual segmentation Hua Li, Y. Wang, K. J. Ray Liu et al. IEEE Transactions on Medical Imaging	113

Top Papers: KI in der Krebserkennung (2001)

Verwandte Seiten