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Alle Papers – KI in der Krebserkennung

172.746 Papers insgesamt · Seite 89 von 400

2201.

Automated classification of cells into multiple classes in epithelial tissue of oral squamous cell carcinoma using transfer learning and convolutional neural network

2020·166 Zit.·Neural Networks
2202.

Data Analysis Strategies in Medical Imaging

2018·166 Zit.·Clinical Cancer ResearchOA
2203.

Morphological feature extraction for the classification of digital images of cancerous tissues

1996·166 Zit.·IEEE Transactions on Biomedical EngineeringOA
2204.

A new 2D segmentation method based on dynamic programming applied to computer aided detection in mammography

2004·166 Zit.·Medical Physics
2205.

Melanoma and Nevus Skin Lesion Classification Using Handcraft and Deep Learning Feature Fusion via Mutual Information Measures

2020·166 Zit.·EntropyOA
2206.

Clinical integration of machine learning for curative-intent radiation treatment of patients with prostate cancer

2021·166 Zit.·Nature Medicine
2207.

US of Mammographically Detected Clustered Microcalcifications

2000·166 Zit.·Radiology
2208.

Breast Cancer Diagnosis in Histopathological Images Using ResNet-50 Convolutional Neural Network

2020·165 Zit.·2020 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)
2209.

Guided Soft Attention Network for Classification of Breast Cancer Histopathology Images

2019·165 Zit.·IEEE Transactions on Medical ImagingOA
2210.

Going fully digital: Perspective of a Dutch academic pathology lab

2013·165 Zit.·Journal of Pathology InformaticsOA
2211.

Deep CNN and Data Augmentation for Skin Lesion Classification

2018·165 Zit.·Lecture notes in computer science
2212.

2006 International Conference on Image Processing

2006·165 Zit.
2213.

Automated Skin Lesion Segmentation Via an Adaptive Dual Attention Module

2020·165 Zit.·IEEE Transactions on Medical Imaging
2214.

Breast tomosynthesis and digital mammography: a comparison of diagnostic accuracy

2012·165 Zit.·British Journal of RadiologyOA
2215.

Standalone AI for Breast Cancer Detection at Screening Digital Mammography and Digital Breast Tomosynthesis: A Systematic Review and Meta-Analysis

2023·165 Zit.·RadiologyOA
2216.

Learning to detect lymphocytes in immunohistochemistry with deep learning

2019·165 Zit.·Medical Image AnalysisOA
2217.

Relationship Between Mammographic Density and Breast Cancer Death in the Breast Cancer Surveillance Consortium

2012·165 Zit.·JNCI Journal of the National Cancer InstituteOA
2218.

Ultrasonic liver tissues classification by fractal feature vector based on M-band wavelet transform

2003·165 Zit.·IEEE Transactions on Medical Imaging
2219.

Sonographically Guided Directional Vacuum-Assisted Breast Biopsy Using a Handheld Device

2001·165 Zit.·American Journal of Roentgenology
2220.

Exploring Deep Learning and Transfer Learning for Colonic Polyp Classification

2016·165 Zit.·Computational and Mathematical Methods in MedicineOA
2221.

A Concentric Morphology Model for the Detection of Masses in Mammography

2007·165 Zit.·IEEE Transactions on Medical Imaging
2222.

ROC analysis with multiple classes and multiple tests: methodology and its application in microarray studies

2008·165 Zit.·BiostatisticsOA
2223.

Breast Cancer Statistics

2000·165 Zit.·JNCI Journal of the National Cancer Institute
2224.

Missing data imputation on the 5-year survival prediction of breast cancer patients with unknown discrete values

2015·165 Zit.·Computers in Biology and Medicine
2225.

Comparison of Machine Learning Methods for Breast Cancer Diagnosis

2019·165 Zit.