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Alle Papers – KI in der Krebserkennung

165.076 Papers insgesamt · Seite 4 von 400

76.

Lung Pattern Classification for Interstitial Lung Diseases Using a Deep Convolutional Neural Network

2016·1.316 Zit.·IEEE Transactions on Medical Imaging
77.

Deep learning for digital pathology image analysis: A comprehensive tutorial with selected use cases

2016·1.288 Zit.·Journal of Pathology InformaticsOA
78.

Breast Imaging Reporting and Data System

2000·1.277 Zit.·American Journal of Roentgenology
79.

A method for normalizing histology slides for quantitative analysis

2009·1.274 Zit.
80.

Morphometric analysis of white matter lesions in MR images: method and validation

1994·1.264 Zit.·IEEE Transactions on Medical Imaging
81.

Deep Learning in Medical Imaging: General Overview

2017·1.260 Zit.·Korean Journal of RadiologyOA
82.

Machine learning in medicine: a practical introduction

2019·1.231 Zit.·BMC Medical Research MethodologyOA
83.

Deep learning for cellular image analysis

2019·1.229 Zit.·Nature MethodsOA
84.

Locality Sensitive Deep Learning for Detection and Classification of Nuclei in Routine Colon Cancer Histology Images

2016·1.227 Zit.·IEEE Transactions on Medical Imaging
85.

Deep Learning for Medical Image Processing: Overview, Challenges and the Future

2017·1.225 Zit.·Lecture notes in computational vision and biomechanics
86.

Predicting breast cancer survivability: a comparison of three data mining methods

2004·1.223 Zit.·Artificial Intelligence in Medicine
87.

Radiomics in medical imaging—“how-to” guide and critical reflection

2020·1.194 Zit.·Insights into ImagingOA
88.

Deep learning-enabled medical computer vision

2021·1.190 Zit.·npj Digital MedicineOA
89.

Surveillance of <EMPH TYPE="ITAL">BRCA1</EMPH> and <EMPH TYPE="ITAL">BRCA2</EMPH> Mutation Carriers With Magnetic Resonance Imaging, Ultrasound, Mammography, and Clinical Breast Examination

2004·1.162 Zit.·JAMA
90.

The Mammographic Image Analysis Society digital mammogram database

1994·1.150 Zit.
91.

Checklist for Artificial Intelligence in Medical Imaging (CLAIM): A Guide for Authors and Reviewers

2020·1.147 Zit.·Radiology Artificial IntelligenceOA
92.

Digital pathology and artificial intelligence

2019·1.130 Zit.·The Lancet OncologyOA
93.

Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support

2017·1.129 Zit.·Lecture notes in computer scienceOA
94.

Microscopic histochemistry; principles and practice

1952·1.124 Zit.
95.

Automated Melanoma Recognition in Dermoscopy Images via Very Deep Residual Networks

2016·1.115 Zit.·IEEE Transactions on Medical Imaging
96.

Ultrasound image segmentation: a survey

2006·1.113 Zit.·IEEE Transactions on Medical ImagingOA
97.

LIFEx: A Freeware for Radiomic Feature Calculation in Multimodality Imaging to Accelerate Advances in the Characterization of Tumor Heterogeneity

2018·1.109 Zit.·Cancer Research
98.

INbreast

2011·1.109 Zit.·Academic RadiologyOA
99.

Quantitative Classification of Mammographic Densities and Breast Cancer Risk: Results From the Canadian National Breast Screening Study

1995·1.107 Zit.·JNCI Journal of the National Cancer Institute
100.

A Dataset and a Technique for Generalized Nuclear Segmentation for Computational Pathology

2017·1.094 Zit.·IEEE Transactions on Medical Imaging