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Alle Papers – KI in der Krebserkennung

168.310 Papers insgesamt · Seite 38 von 400

926.

Are innovation and new technologies in precision medicine paving a new era in patients centric care?

2019·293 Zit.·Journal of Translational MedicineOA
927.

A machine learning approach to radiogenomics of breast cancer: a study of 922 subjects and 529 DCE-MRI features

2018·292 Zit.·British Journal of CancerOA
928.

The NA-MIC Kit: ITK, VTK, Pipelines, Grids and 3D Slicer as An Open Platform for the Medical Image Computing Community

2006·292 Zit.
929.

Multimodal Co-Attention Transformer for Survival Prediction in Gigapixel Whole Slide Images

2021·291 Zit.·2021 IEEE/CVF International Conference on Computer Vision (ICCV)
930.

Layer-Wise Relevance Propagation for Explaining Deep Neural Network Decisions in MRI-Based Alzheimer's Disease Classification

2019·291 Zit.·Frontiers in Aging NeuroscienceOA
931.

MRI‐only based synthetic CT generation using dense cycle consistent generative adversarial networks

2019·290 Zit.·Medical PhysicsOA
932.

Artificial Intelligence in Lung Cancer Pathology Image Analysis

2019·290 Zit.·CancersOA
933.

Sample-Size Determination Methodologies for Machine Learning in Medical Imaging Research: A Systematic Review

2019·290 Zit.·Canadian Association of Radiologists Journal
934.

A Review on Deep Learning Techniques for the Diagnosis of Novel Coronavirus (COVID-19)

2021·290 Zit.·IEEE AccessOA
935.

Leucocyte classification for leukaemia detection using image processing techniques

2014·290 Zit.·Artificial Intelligence in MedicineOA
936.

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2008

2008·289 Zit.·Lecture notes in computer scienceOA
937.

Single Reading with Computer-Aided Detection for Screening Mammography

2008·289 Zit.·New England Journal of Medicine
938.

Pre-trained convolutional neural networks as feature extractors for tuberculosis detection

2017·289 Zit.·Computers in Biology and Medicine
939.

Artificial Intelligence for Mammography and Digital Breast Tomosynthesis: Current Concepts and Future Perspectives

2019·289 Zit.·RadiologyOA
940.

Artificial intelligence and machine learning in cancer imaging

2022·289 Zit.·Communications MedicineOA
941.

Evaluation of 3D Correspondence Methods for Model Building

2003·288 Zit.·Lecture notes in computer science
942.

Handbook of Histopathological Technique

1958·288 Zit.·Journal of Clinical PathologyOA
943.

Mass detection in digital breast tomosynthesis: Deep convolutional neural network with transfer learning from mammography

2016·288 Zit.·Medical PhysicsOA
944.

Clinical Imaging with Transmissive Ultrasonic Computerized Tomography

1981·287 Zit.·IEEE Transactions on Biomedical Engineering
945.

Models Genesis

2020·287 Zit.·Medical Image AnalysisOA
946.

Precision Medicine and Radiogenomics in Breast Cancer: New Approaches toward Diagnosis and Treatment

2018·287 Zit.·Radiology
947.

Leukemia diagnosis in blood slides using transfer learning in CNNs and SVM for classification

2018·287 Zit.·Engineering Applications of Artificial Intelligence
948.

Stain Specific Standardization of Whole-Slide Histopathological Images

2015·287 Zit.·IEEE Transactions on Medical ImagingOA
949.

Eye-movement study and human performance using telepathology virtual slides. Implications for medical education and differences with experience

2006·286 Zit.·Human Pathology
950.

WILDS: A Benchmark of in-the-Wild Distribution Shifts

2020·286 Zit.OA