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Alle Papers – KI in der Krebserkennung

168.310 Papers insgesamt · Seite 41 von 400

1001.

Accurate Segmentation of Cervical Cytoplasm and Nuclei Based on Multiscale Convolutional Network and Graph Partitioning

2015·277 Zit.·IEEE Transactions on Biomedical Engineering
1002.

Computer-Assisted Decision Support System in Pulmonary Cancer detection and stage classification on CT images

2018·277 Zit.·Journal of Biomedical InformaticsOA
1003.

Artificial Intelligence in Medicine: Where Are We Now?

2019·277 Zit.·Academic Radiology
1004.

Mammographic Breast Density Assessment Using Deep Learning: Clinical Implementation

2018·277 Zit.·Radiology
1005.

Contrast-enhanced Digital Mammography: Initial Clinical Experience

2003·277 Zit.·Radiology
1006.

FeAture Explorer (FAE): A tool for developing and comparing radiomics models

2020·277 Zit.·PLoS ONEOA
1007.

How much data is needed to train a medical image deep learning system to achieve necessary high accuracy?

2015·276 Zit.·arXiv (Cornell University)OA
1008.

Medical breast ultrasound image segmentation by machine learning

2018·276 Zit.·UltrasonicsOA
1009.

Skin lesion segmentation via generative adversarial networks with dual discriminators

2020·276 Zit.·Medical Image Analysis
1010.

Checklist for Artificial Intelligence in Medical Imaging (CLAIM): 2024 Update

2024·276 Zit.·Radiology Artificial IntelligenceOA
1011.

The prediction of breast cancer biopsy outcomes using two CAD approaches that both emphasize an intelligible decision process

2007·276 Zit.·Medical Physics
1012.

Principles of Analytic Validation of Immunohistochemical Assays: Guideline From the College of American Pathologists Pathology and Laboratory Quality Center

2014·276 Zit.·Archives of Pathology & Laboratory Medicine
1013.

Breast cancer histology images classification: Training from scratch or transfer learning?

2018·276 Zit.·ICT ExpressOA
1014.

Learning with limited annotations: A survey on deep semi-supervised learning for medical image segmentation

2023·276 Zit.·Computers in Biology and Medicine
1015.

Automated classification of parenchymal patterns in mammograms

1998·276 Zit.·Physics in Medicine and Biology
1016.

Automated grading of breast cancer histopathology using spectral clusteringwith textural and architectural image features

2008·276 Zit.
1017.

Computer aided detection (CAD): an overview

2005·276 Zit.·Cancer ImagingOA
1018.

A High-Resolution Enhancer Atlas of the Developing Telencephalon

2013·276 Zit.·CellOA
1019.

Laser capture microdissection in pathology: Figure 1

2000·275 Zit.·Journal of Clinical PathologyOA
1020.

A hybrid neural network – world cup optimization algorithm for melanoma detection

2018·275 Zit.·Open MedicineOA
1021.

A receiver operating characteristic partial area index for highly sensitive diagnostic tests.

1996·275 Zit.·Radiology
1022.

Skin Lesion Classification Using Hybrid Deep Neural Networks

2019·275 Zit.
1023.

External Evaluation of 3 Commercial Artificial Intelligence Algorithms for Independent Assessment of Screening Mammograms

2020·275 Zit.·JAMA OncologyOA
1024.

Deep Learning for Medical Image-Based Cancer Diagnosis

2023·275 Zit.·CancersOA
1025.

A Transfer Learning Approach for Early Diagnosis of Alzheimer’s Disease on MRI Images

2021·275 Zit.·Neuroscience