Alle Papers – KI in der Krebserkennung

ACR Appropriateness Criteria ® Breast Cancer Screening

Multifractal radiographic analysis of osteoporosis

Breast Tumor Classification Using an Ensemble Machine Learning Method

Upgrading and Downgrading of Prostate Needle Biopsy Specimens: Risk Factors and Clinical Implications

Bayesian Model Selection for Pathological Neuroimaging Data Applied to White Matter Lesion Segmentation

Computer vision and artificial intelligence in mammography.

Measures of Diagnostic Accuracy: Sensitivity, Specificity, PPV and NPV

Detection and classification of cancer in whole slide breast histopathology images using deep convolutional networks

R <scp>oot</scp> P <scp>ainter</scp> : deep learning segmentation of biological images with corrective annotation

Real-Time Computer-Aided Detection of Colorectal Neoplasia During Colonoscopy

Malignant Melanoma Classification Using Deep Learning: Datasets, Performance Measurements, Challenges and Opportunities

Artificial Intelligence (AI) for the early detection of breast cancer: a scoping review to assess AI’s potential in breast screening practice

Dermatologist Detection and Skin Self-examination Are Associated With Thinner Melanomas

DC-UNet: rethinking the U-Net architecture with dual channel efficient CNN for medical image segmentation

Evaluation of Transfer Learning with Deep Convolutional Neural Networks for Screening Osteoporosis in Dental Panoramic Radiographs

Comparison of Clinical and Automated Breast Density Measurements: Implications for Risk Prediction and Supplemental Screening

Artificial Intelligence for Medical Image Analysis: A Guide for Authors and Reviewers

An experimental study on breast lesion detection and classification from ultrasound images using deep learning architectures

Segmentation of pulmonary nodules of various densities with morphological approaches and convexity models

Prostate cancer therapy personalization via multi-modal deep learning on randomized phase III clinical trials

Breast Imaging Reporting and Data System (BI-RADS);

A study about color normalization methods for histopathology images

Multi-Institutional Validation of a Mammography-Based Breast Cancer Risk Model

An objective comparison of 3-D image interpolation methods

Anam-Net: Anamorphic Depth Embedding-Based Lightweight CNN for Segmentation of Anomalies in COVID-19 Chest CT Images