Alle Papers – KI in der Krebserkennung

Screening Mammograms by Community Radiologists: Variability in False-Positive Rates

Automatic polyp detection in colonoscopy videos using an ensemble of convolutional neural networks

Prediction of breast cancer malignancy using an artificial neural network

Embryo Ranking Intelligent Classification Algorithm (ERICA): artificial intelligence clinical assistant predicting embryo ploidy and implantation

Improving Breast Cancer Detection Accuracy of Mammography with the Concurrent Use of an Artificial Intelligence Tool

Deep learning techniques for liver and liver tumor segmentation: A review

Review of Semantic Segmentation of Medical Images Using Modified Architectures of UNET

Fully automatic and segmentation-robust classification of breast tumors based on local texture analysis of ultrasound images

The IRMA code for unique classification of medical images

A review of statistical and machine learning methods for modeling cancer risk using structured clinical data

Lung cancer disease prediction with CT scan and histopathological images feature analysis using deep learning techniques

Digital Breast Tomosynthesis Is Comparable to Mammographic Spot Views for Mass Characterization

Tumor Detection in Automated Breast Ultrasound Using 3-D CNN and Prioritized Candidate Aggregation

Extending 2-D Convolutional Neural Networks to 3-D for Advancing Deep Learning Cancer Classification With Application to MRI Liver Tumor Differentiation

Automatic machine learning model for enhanced partition and identification of breast disorders in breast MRI scan

Ensembles of Densely-Connected CNNs with Label-Uncertainty for Brain Tumor Segmentation

Comparison of a Deep Learning Risk Score and Standard Mammographic Density Score for Breast Cancer Risk Prediction

Efficient Automated Disease Diagnosis Using Machine Learning Models

Reliability of PET/CT Shape and Heterogeneity Features in Functional and Morphologic Components of Non–Small Cell Lung Cancer Tumors: A Repeatability Analysis in a Prospective Multicenter Cohort

A Modified Deep Convolutional Neural Network for Abnormal Brain Image Classification

Automatic classification of dual-modalilty, smartphone-based oral dysplasia and malignancy images using deep learning

Beyond breast density: a review on the advancing role of parenchymal texture analysis in breast cancer risk assessment

Fractal analysis in the detection of colonic cancer images

Clinical Significance of Atypical Glandular Cells on Cervical Cytology

Clinical Performance Metrics of 3D Digital Breast Tomosynthesis Compared With 2D Digital Mammography for Breast Cancer Screening in Community Practice