Alle Papers – KI in der Krebserkennung

Benefits of total body photography and digital dermatoscopy (“two-step method of digital follow-up”) in the early diagnosis of melanoma in patients at high risk for melanoma

ResGANet: Residual group attention network for medical image classification and segmentation

Characterization of Palmprints by Wavelet Signatures via Directional Context Modeling

Manifold Learning of Brain MRIs by Deep Learning

Development of a computer-aided detection system for colonoscopy and a publicly accessible large colonoscopy video database (with video)

Voxel size and gray level normalization of CT radiomic features in lung cancer

The impact of patient clinical information on automated skin cancer detection

PanNuke: An Open Pan-Cancer Histology Dataset for Nuclei Instance Segmentation and Classification

On the statistical analysis of ROC curves

Interpretable classification of Alzheimer’s disease pathologies with a convolutional neural network pipeline

Medical image-based detection of COVID-19 using Deep Convolution Neural Networks

Robust and data-efficient generalization of self-supervised machine learning for diagnostic imaging

A Pictorial Review of Changes in the BI-RADS Fifth Edition

Computer‐aided diagnosis of pulmonary nodules on CT scans: Segmentation and classification using 3D active contours

Biomarker Discovery and Validation: Statistical Considerations

Machine Learning in oncology: A clinical appraisal

Beyond Mammography: New Frontiers in Breast Cancer Screening

Critical Comparison of 31 Commercially Available Digital Slide Systems in Pathology

Translating Artificial Intelligence Into Clinical Care

Delays in Breast Cancer Presentation and Diagnosis at Two Rural Cancer Referral Centers in Rwanda

Multi-modal deep learning model for auxiliary diagnosis of Alzheimer’s disease

Boundary-aware context neural network for medical image segmentation

Diagnosis of Benign and Malignant Breast Lesions on DCE‐MRI by Using Radiomics and Deep Learning With Consideration of Peritumor Tissue

Introducing Biomedisa as an open-source online platform for biomedical image segmentation

Development and Validation of a Deep Learning Algorithm for Gleason Grading of Prostate Cancer From Biopsy Specimens