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Alle Papers – KI in der Krebserkennung

167.108 Papers insgesamt · Seite 3 von 400

51.

Generative adversarial network in medical imaging: A review

2019·1.792 Zit.·Medical Image AnalysisOA
52.

Artificial intelligence in cancer imaging: Clinical challenges and applications

2019·1.785 Zit.·CA A Cancer Journal for CliniciansOA
53.

<b>A new method for the model‐independent assessment of thickness in three‐dimensional images</b>

1997·1.776 Zit.·Journal of Microscopy
54.

A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis

2019·1.738 Zit.·The Lancet Digital HealthOA
55.

Pathological prognostic factors in breast cancer

1999·1.737 Zit.·Critical Reviews in Oncology/Hematology
56.

Comparison of the Performance of Screening Mammography, Physical Examination, and Breast US and Evaluation of Factors that Influence Them: An Analysis of 27,825 Patient Evaluations

2002·1.706 Zit.·Radiology
57.

A Dataset for Breast Cancer Histopathological Image Classification

2015·1.694 Zit.·IEEE Transactions on Biomedical Engineering
58.

Guest Editorial Deep Learning in Medical Imaging: Overview and Future Promise of an Exciting New Technique

2016·1.688 Zit.·IEEE Transactions on Medical Imaging
59.

Data augmentation for improving deep learning in image classification problem

2018·1.655 Zit.
60.

ROC Methodology in Radiologic Imaging

1986·1.639 Zit.·Investigative Radiology
61.

Causability and explainability of artificial intelligence in medicine

2019·1.611 Zit.·Wiley Interdisciplinary Reviews Data Mining and Knowledge DiscoveryOA
62.

Machine Learning for Medical Imaging

2017·1.595 Zit.·Radiographics
63.

Deep Learning Techniques for Medical Image Segmentation: Achievements and Challenges

2019·1.576 Zit.·Journal of Digital ImagingOA
64.

Mitosis Detection in Breast Cancer Histology Images with Deep Neural Networks

2013·1.547 Zit.·Lecture notes in computer science
65.

Man against machine: diagnostic performance of a deep learning convolutional neural network for dermoscopic melanoma recognition in comparison to 58 dermatologists

2018·1.505 Zit.·Annals of OncologyOA
66.

Artificial intelligence in digital pathology — new tools for diagnosis and precision oncology

2019·1.487 Zit.·Nature Reviews Clinical Oncology
67.

The molecular portraits of breast tumors are conserved across microarray platforms

2006·1.463 Zit.·BMC GenomicsOA
68.

Deep Learning Applications in Medical Image Analysis

2017·1.455 Zit.·IEEE AccessOA
69.

Cell Detection with Star-Convex Polygons

2018·1.450 Zit.·Lecture notes in computer scienceOA
70.

Comparison of Digital Rectal Examination and Serum Prostate Specific Antigen in the Early Detection of Prostate Cancer: Results of a Multicenter Clinical Trial of 6,630 Men

1994·1.423 Zit.·The Journal of Urology
71.

Variable generalization performance of a deep learning model to detect pneumonia in chest radiographs: A cross-sectional study

2018·1.399 Zit.·PLoS MedicineOA
72.

·1.385 Zit.·Edinburgh Research ExplorerOA
73.

Columbia Object Image Library (COIL100)

1996·1.352 Zit.·Medical Entomology and Zoology
74.

IHC Profiler: An Open Source Plugin for the Quantitative Evaluation and Automated Scoring of Immunohistochemistry Images of Human Tissue Samples

2014·1.337 Zit.·PLoS ONEOA
75.

CoroNet: A deep neural network for detection and diagnosis of COVID-19 from chest x-ray images

2020·1.332 Zit.·Computer Methods and Programs in BiomedicineOA