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Alle Papers – KI in der Krebserkennung

172.746 Papers insgesamt · Seite 69 von 400

1701.

An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization

2020·199 Zit.·Medical Image AnalysisOA
1702.

How experience and training influence mammography expertise

1999·199 Zit.·Academic Radiology
1703.

Whole slide imaging equivalency and efficiency study: experience at a large academic center

2019·199 Zit.·Modern PathologyOA
1704.

A Combination of Shape and Texture Features for Classification of Pulmonary Nodules in Lung CT Images

2016·199 Zit.·Journal of Digital ImagingOA
1705.

Nuclei segmentation in histopathology images using deep neural networks

2017·199 Zit.
1706.

Primary histologic diagnosis using automated whole slide imaging: a validation study

2006·198 Zit.·BMC Clinical PathologyOA
1707.

Classification of mitotic figures with convolutional neural networks and seeded blob features

2013·198 Zit.·Journal of Pathology InformaticsOA
1708.

Management of Thyroid Nodules Seen on US Images: Deep Learning May Match Performance of Radiologists

2019·198 Zit.·RadiologyOA
1709.

Predicting gastric cancer outcome from resected lymph node histopathology images using deep learning

2021·198 Zit.·Nature CommunicationsOA
1710.

Deep learning based liver cancer detection using watershed transform and Gaussian mixture model techniques

2018·198 Zit.·Cognitive Systems Research
1711.

Effect of a retrograde-viewing device on adenoma detection rate during colonoscopy: the TERRACE study

2010·198 Zit.·Gastrointestinal Endoscopy
1712.

Bitewing and Digital Bitewing Radiography for Detection of Caries Lesions

2004·198 Zit.·Journal of Dental Research
1713.

Automatic tumor segmentation in breast ultrasound images using a dilated fully convolutional network combined with an active contour model

2018·198 Zit.·Medical Physics
1714.

Comparison of Acquisition Parameters and Breast Dose in Digital Mammography and Screen-Film Mammography in the American College of Radiology Imaging Network Digital Mammographic Imaging Screening Trial

2010·198 Zit.·American Journal of Roentgenology
1715.

Alzheimer rsquo s disease diagnostics by a 3D deeply supervised adaptable convolutional network

2017·198 Zit.·Frontiers in bioscience
1716.

Factors Associated With Rates of False-Positive and False-Negative Results From Digital Mammography Screening: An Analysis of Registry Data

2016·198 Zit.·Annals of Internal MedicineOA
1717.

Early detection of melanoma: Reviewing the ABCDEs

2015·198 Zit.·Journal of the American Academy of Dermatology
1718.

Diagnosis of breast cancer based on modern mammography using hybrid transfer learning

2021·198 Zit.·Multidimensional Systems and Signal ProcessingOA
1719.

Searching for prostate cancer by fully automated magnetic resonance imaging classification: deep learning versus non-deep learning

2017·198 Zit.·Scientific ReportsOA
1720.

Large Sample Size, Wide Variant Spectrum, and Advanced Machine-Learning Technique Boost Risk Prediction for Inflammatory Bowel Disease

2013·198 Zit.·The American Journal of Human GeneticsOA
1721.

COVIDetectioNet: COVID-19 diagnosis system based on X-ray images using features selected from pre-learned deep features ensemble

2020·198 Zit.·Applied IntelligenceOA
1722.

Dermoscopy Image Analysis: Overview and Future Directions

2019·198 Zit.·IEEE Journal of Biomedical and Health Informatics
1723.

Computerized detection of masses in digital mammograms: Analysis of bilateral subtraction images

1991·198 Zit.·Medical Physics
1724.

Systematic review of the diagnostic accuracy of dermatoscopy in detecting malignant melanoma

1997·197 Zit.·The Medical Journal of Australia
1725.

Risk Algorithm Using Serial Biomarker Measurements Doubles the Number of Screen-Detected Cancers Compared With a Single-Threshold Rule in the United Kingdom Collaborative Trial of Ovarian Cancer Screening

2015·197 Zit.·Journal of Clinical OncologyOA