Top Papers: KI in der Krebserkennung (2014)

Die 50 meistzitierten Arbeiten zu KI in der Krebserkennung aus dem Jahr 2014 (von 2.241 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.

2012 2013 2014 2015

#	Paper	Zitationen
1	The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS) Bjoern Menze, András Jakab, Stefan Bauer et al. IEEE Transactions on Medical Imaging	6.249
2	Machine learning applications in cancer prognosis and prediction Κωνσταντίνα Κούρου, Themis P. Exarchos, Konstantinos Exarchos et al. Computational and Structural Biotechnology Journal	3.190
3	IHC Profiler: An Open Source Plugin for the Quantitative Evaluation and Automated Scoring of Immunohistochemistry Images of Human Tissue Samples Frency Varghese, Amirali B. Bukhari, Renu Malhotra et al. PLoS ONE	1.335
4	Sample size estimation in diagnostic test studies of biomedical informatics Karimollah Hajian‐Tilaki Journal of Biomedical Informatics	977
5	Two public chest X-ray datasets for computer-aided screening of pulmonary diseases. Stefan Jaeger, Sema Candemir, Sameer Antani et al. PubMed	919
6	Medical image classification with convolutional neural network Qing Li, Weidong Cai, Xiaogang Wang et al. —	828
7	Breast Cancer Screening Using Tomosynthesis in Combination With Digital Mammography Sarah M. Friedewald, Elizabeth A. Rafferty, Stephen L. Rose et al. JAMA	828
8	Breast Cancer Histopathology Image Analysis: A Review Mitko Veta, Josien P. W. Pluim, P. J. van Diest et al. IEEE Transactions on Biomedical Engineering	690
9	Methods for Nuclei Detection, Segmentation, and Classification in Digital Histopathology: A Review—Current Status and Future Potential Humayun Irshad, Antoine Veillard, Ludovic Roux et al. IEEE Reviews in Biomedical Engineering	627
10	Robust Radiomics Feature Quantification Using Semiautomatic Volumetric Segmentation Chintan Parmar, Emmanuel Rios Velazquez, Ralph T. H. Leijenaar et al. PLoS ONE	593
11	Automatic detection of invasive ductal carcinoma in whole slide images with convolutional neural networks Ángel Cruz-Roa, Ajay Basavanhally, Fabio A. González et al. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE	586
12	Early diagnosis of Alzheimer's disease with deep learning Siqi Liu, Sidong Liu, Weidong Cai et al. —	527
13	A Nonlinear Mapping Approach to Stain Normalization in Digital Histopathology Images Using Image-Specific Color Deconvolution Adnan Mujahid Khan, Nasir Rajpoot, Darren Treanor et al. IEEE Transactions on Biomedical Engineering	520
14	Assessment of algorithms for mitosis detection in breast cancer histopathology images Mitko Veta, P. J. van Diest, Stefan M. Willems et al. Medical Image Analysis	464
15	Computer-Aided Detection of Prostate Cancer in MRI Geert Litjens, Oscar A. Debats, Jelle O. Barentsz et al. IEEE Transactions on Medical Imaging	456
16	A New 2.5D Representation for Lymph Node Detection using Random Sets of Deep Convolutional Neural Network Observations Holger R. Roth, Le Lü, Ari Seff et al. arXiv (Cornell University)	416
17	Prevalence of Mammographically Dense Breasts in the United States Brian L. Sprague, Ronald E. Gangnon, Veronica Burt et al. JNCI Journal of the National Cancer Institute	399
18	Benign and malignant breast tumors classification based on region growing and CNN segmentation Rahimeh Rouhi, Mehdi Jafari Shahbazzadeh, Shohreh Kasaei et al. Expert Systems with Applications	396
19	Computer-aided detection of breast cancer on mammograms: A swarm intelligence optimized wavelet neural network approach J. Dheeba, Nikita Singh, S. Tamil Selvi Journal of Biomedical Informatics	380
20	Vision 20/20: Perspectives on automated image segmentation for radiotherapy G Sharp, Karl Fritscher, Vladimír Pekar et al. Medical Physics	373
21	Mammographic Density Phenotypes and Risk of Breast Cancer: A Meta-analysis Andreas Pettersson, Rebecca E. Graff, Giske Ursin et al. JNCI Journal of the National Cancer Institute	362
22	Assessing Improvement in Detection of Breast Cancer with Three-dimensional Automated Breast US in Women with Dense Breast Tissue: The SomoInsight Study Rachel F. Brem, Làszló Tabár, Stephen W. Duffy et al. Radiology	351
23	Mitosis detection in breast cancer pathology images by combining handcrafted and convolutional neural network features Haibo Wang, Ángel Cruz-Roa, Ajay Basavanhally et al. Journal of Medical Imaging	347
24	A New 2.5D Representation for Lymph Node Detection Using Random Sets of Deep Convolutional Neural Network Observations Holger R. Roth, Le Lu, Ari Seff et al. Lecture notes in computer science	328
25	Two-View Digital Breast Tomosynthesis Screening with Synthetically Reconstructed Projection Images: Comparison with Digital Breast Tomosynthesis with Full-Field Digital Mammographic Images Per Skaane, Andriy I. Bandos, Ellen B. Eben et al. Radiology	327
26	Medical Image Segmentation Methods, Algorithms, and Applications Alireza Norouzi, Mohd Shafry Mohd Rahim, Ayman Altameem et al. IETE Technical Review	320
27	Reproducibility and Prognosis of Quantitative Features Extracted from CT Images Yoganand Balagurunathan, Yuhua Gu, Hua Wang et al. Translational Oncology	300
28	Weakly supervised histopathology cancer image segmentation and classification Yan Xu, Jun-Yan Zhu, Eric Chang et al. Medical Image Analysis	292
29	Leucocyte classification for leukaemia detection using image processing techniques Lorenzo Putzu, Giovanni Caocci, Cecilia Di Ruberto Artificial Intelligence in Medicine	290
30	Principles of Analytic Validation of Immunohistochemical Assays: Guideline From the College of American Pathologists Pathology and Laboratory Quality Center Patrick L. Fitzgibbons, Linda Bradley, Lisa A. Fatheree et al. Archives of Pathology & Laboratory Medicine	276
31	Test–Retest Reproducibility Analysis of Lung CT Image Features Yoganand Balagurunathan, Virendra Kumar, Yuhua Gu et al. Journal of Digital Imaging	264
32	Automatic cervical cell segmentation and classification in Pap smears Thanatip Chankong, Nipon Theera‐Umpon, Sansanee Auephanwiriyakul Computer Methods and Programs in Biomedicine	264
33	Texture Feature Analysis for Computer-Aided Diagnosis on Pulmonary Nodules Fangfang Han, Huafeng Wang, Guopeng Zhang et al. Journal of Digital Imaging	264
34	Radiogenomic Analysis of Breast Cancer: Luminal B Molecular Subtype Is Associated with Enhancement Dynamics at MR Imaging Maciej A. Mazurowski, Jing Zhang, Lars J. Grimm et al. Radiology	245
35	Understanding the Premalignant Potential of Atypical Hyperplasia through Its Natural History: A Longitudinal Cohort Study Lynn C. Hartmann, Derek C. Radisky, Marlene H. Frost et al. Cancer Prevention Research	230
36	Towards Large-Scale Histopathological Image Analysis: Hashing-Based Image Retrieval Xiaofan Zhang, Wei Liu, Murat Dündar et al. IEEE Transactions on Medical Imaging	228
37	Automated quantification of aligned collagen for human breast carcinoma prognosis Jeremy S. Bredfeldt, Yuming Liu, Matthew W. Conklin et al. Journal of Pathology Informatics	221
38	Mammogram classification using two dimensional discrete wavelet transform and gray-level co-occurrence matrix for detection of breast cancer Shradhananda Beura, Banshidhar Majhi, Ratnakar Dash Neurocomputing	214
39	Comparison of Two-dimensional Synthesized Mammograms versus Original Digital Mammograms Alone and in Combination with Tomosynthesis Images Margarita L. Zuley, Ben Guo, Victor J. Catullo et al. Radiology	212
40	Digital mammographic density and breast cancer risk: a case–control study of six alternative density assessment methods Amanda Eng, Zoe Gallant, John Shepherd et al. Breast Cancer Research	202
41	Digital pathology and image analysis in tissue biomarker research Peter W. Hamilton, Peter Bankhead, Yinhai Wang et al. Methods	192
42	Diagnostic performance of dual-energy contrast-enhanced subtracted mammography in dense breasts compared to mammography alone: interobserver blind-reading analysis Yun‐Chung Cheung, Yu‐Ching Lin, Yung‐Liang Wan et al. European Radiology	191
43	Screening Outcomes Following Implementation of Digital Breast Tomosynthesis in a General-Population Screening Program Anne Marie McCarthy, Despina Kontos, Marie Synnestvedt et al. JNCI Journal of the National Cancer Institute	191
44	Early Clinical Experience with Digital Breast Tomosynthesis for Screening Mammography Melissa A. Durand, Brian M. Haas, Xiaopan Yao et al. Radiology	190
45	Artefacts in histopathology Shailja Chatterjee Journal of Oral and Maxillofacial Pathology	190
46	Automated Screening System for Acute Myelogenous Leukemia Detection in Blood Microscopic Images Sos С. Agaian, Monica Madhukar, Anthony T. Chronopoulos IEEE Systems Journal	183
47	Implementation of large-scale routine diagnostics using whole slide imaging in Sweden: Digital pathology experiences 2006-2013 Sten Thorstenson, Jesper Molin, Claes Lundström Journal of Pathology Informatics	176
48	Segmentation and detection of breast cancer in mammograms combining wavelet analysis and genetic algorithm Danilo C. Pereira, Rodrigo Pereira Ramos, Marcelo Zanchetta do Nascimento Computer Methods and Programs in Biomedicine	176
49	Overview of object oriented data analysis JS Marron, Andrés M. Alonso Biometrical Journal	175
50	Can Digital Pathology Result In Cost Savings? A Financial Projection For Digital Pathology Implementation At A Large Integrated Health Care Organization Jonhan Ho, Stefan M. Ahlers, Curtis Stratman et al. Journal of Pathology Informatics	174

Top Papers: KI in der Krebserkennung (2014)

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