Alle Papers – KI in der Krebserkennung

COVID-19 Detection Through Transfer Learning Using Multimodal Imaging Data

Assessment of algorithms for mitosis detection in breast cancer histopathology images

Deep Convolutional Neural Networks for breast cancer screening

The use of artificial neural networks in decision support in cancer: A systematic review

Refining the accuracy of validated target identification through coding variant fine-mapping in type 2 diabetes

Near‐infrared Raman spectroscopy for the classification of epithelial pre‐cancers and cancers

Diagnostic Accuracy of Digital versus Film Mammography: Exploratory Analysis of Selected Population Subgroups in DMIST

Comparison of Breast Magnetic Resonance Imaging, Mammography, and Ultrasound for Surveillance of Women at High Risk for Hereditary Breast Cancer

Introduction to the DICOM standard

Whole slide images based cancer survival prediction using attention guided deep multiple instance learning networks

Artificial intelligence-supported screen reading versus standard double reading in the Mammography Screening with Artificial Intelligence trial (MASAI): a clinical safety analysis of a randomised, controlled, non-inferiority, single-blinded, screening accuracy study

Digital Imaging in Pathology: Whole-Slide Imaging and Beyond

BI-RADS ® fifth edition: A summary of changes

Automated detection of pulmonary nodules in helical CT images based on an improved template-matching technique

Computer-Aided Detection of Prostate Cancer in MRI

A Deep Convolutional Neural Network for segmenting and classifying epithelial and stromal regions in histopathological images

Design Characteristics of Studies Reporting the Performance of Artificial Intelligence Algorithms for Diagnostic Analysis of Medical Images: Results from Recently Published Papers

Artificial intelligence for diagnosis and Gleason grading of prostate cancer: the PANDA challenge

RA-UNet: A Hybrid Deep Attention-Aware Network to Extract Liver and Tumor in CT Scans

Medical Image Segmentation Using K-Means Clustering and Improved Watershed Algorithm

Recent Trends in Cutaneous Melanoma Incidence Among Whites in the United States

Deep Transfer Learning Based Classification Model for COVID-19 Disease

Tooth detection and numbering in panoramic radiographs using convolutional neural networks

Digital Breast Tomosynthesis: Initial Experience in 98 Women with Abnormal Digital Screening Mammography

Sample-Efficient Deep Learning for COVID-19 Diagnosis Based on CT Scans