KI in der Krebserkennung
Einsatz von Deep Learning und KI-Methoden zur frühzeitigen Erkennung und Klassifikation von Tumoren.
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.
Top 10 – Meistzitierte Papers
Top 2026von 104.106 Papers
A survey on deep learning in medical image analysis
2017 · 14.038 Zit.
pROC: an open-source package for R and S+ to analyze and compare ROC curves
2011 · 13.831 Zit.
Dermatologist-level classification of skin cancer with deep neural networks
2017 · 13.544 Zit.
A survey on Image Data Augmentation for Deep Learning
2019 · 12.165 Zit.
QuPath: Open source software for digital pathology image analysis
2017 · 8.454 Zit.
Radiomics: Images Are More than Pictures, They Are Data
2015 · 8.171 Zit.
Unified segmentation
2005 · 7.489 Zit.
A method of comparing the areas under receiver operating characteristic curves derived from the same cases.
1983 · 7.082 Zit.
The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)
2014 · 6.424 Zit.
Radiomics: Extracting more information from medical images using advanced feature analysis
2012 · 5.860 Zit.
Top 10 – Neueste Papers
zuletzt veröffentlicht
Gene Selection for Breast Cancer Classification Using T-Test Filtering and Wrapper-Based Optimization
2026-12-31 · 0 Zit.
Gene Selection for Breast Cancer Classification Using T-Test Filtering and Wrapper-Based Optimization
2026-12-31 · 0 Zit.
AI-Driven Biomarker Discovery & Progression Modeling for Precision Diagnosis of Glaucoma
2026-10-01 · 0 Zit.
A deep learning workflow for 3D segmentation and reconstruction of cell lines from confocal microscopy for Monte Carlo Radiobiology Simulations
2026-07-26 · 0 Zit.
Privacy-Preserving Generation of Synthetic Pathology Reports for Information Extraction
2026-07-07 · 0 Zit.
Detection and Classification of Lesions in Digital Breast Tomosynthesis Using a Two-Stage Deep Learning Pipeline
2026-07-01 · 0 Zit.
Geometric design optimization of AI-aided system for reliable detection of flat lesions in CT colonography
2026-07-01 · 0 Zit.
Serum Thyroid Biomarkers for Diagnosing Malignant Thyroid Nodules: A Machine Learning Approach with External and Causal Validation
2026-05-18 · 0 Zit.
Analytical performance and clinical usability of a low-cost vaginal swab for sensitive detection of high-risk human papillomavirus
2026-05-18 · 0 Zit.
From histology to spatial transcriptomics: establishing a lightweight single-patch baseline
2026-05-18 · 0 Zit.
Top 8 Autoren
von 144.943 Autoren insgesamt
Dušan Veličković
Battelle
P. J. van Diest
Utrecht University
Yudong Zhang
First Affiliated Hospital of Guangzhou Medical University
Henning Müller
HES-SO Valais-Wallis
Robert Klopfleisch
Freie Universität Berlin
Aboul Ella Hassanien
Cairo University
Chris Taylor
St George's, University of London
Stephen M. Hewitt
National Institutes of Health
Top 8 Institutionen
von 985 Institutionen insgesamt
Vellore Institute of Technology University
IN
Saveetha University
IN
Manipal Academy of Higher Education
IN
SRM Institute of Science and Technology
IN
Lovely Professional University
IN
Amrita Vishwa Vidyapeetham
IN
Prince Sattam Bin Abdulaziz University
SA
Princess Nourah bint Abdulrahman University
SA