Alle Papers – KI in der Krebserkennung

Stereotactic vacuum‐assisted breast biopsy in 2874 patients

Analysis of Co-Occurrence Texture Statistics as a Function of Gray-Level Quantization for Classifying Breast Ultrasound

Interactive Organ Segmentation Using Graph Cuts

Deep learning classification of lung cancer histology using CT images

Radiogenomic Analysis of Breast Cancer: Luminal B Molecular Subtype Is Associated with Enhancement Dynamics at MR Imaging

Markov random field for tumor detection in digital mammography

Deep Learning Attention Mechanism in Medical Image Analysis: Basics and Beyonds

Breast Tomosynthesis: Present Considerations and Future Applications

Preoperative prediction of sentinel lymph node metastasis in breast cancer based on radiomics of T2-weighted fat-suppression and diffusion-weighted MRI

Artificial Intelligence in Pathology

Screening, early detection, and trends for melanoma: Current status (2000-2006) and future directions

Predicting features of breast cancer with gene expression patterns

The myth of the 50‐50 breast

Hybrid Model for Detection of Cervical Cancer Using Causal Analysis and Machine Learning Techniques

Computer-aided detection (CADe) and diagnosis (CADx) system for lung cancer with likelihood of malignancy

Insights into Pathogenic Interactions Among Environment, Host, and Tumor at the Crossroads of Molecular Pathology and Epidemiology

Artificial intelligence in cancer research, diagnosis and therapy

Neural Image Compression for Gigapixel Histopathology Image Analysis

Skin cancer detection from dermoscopic images using deep learning and fuzzy <i>k</i>‐means clustering

Medical deep learning—A systematic meta-review

Brain Tumor Analysis Empowered with Deep Learning: A Review, Taxonomy, and Future Challenges

Attributes based skin lesion detection and recognition: A mask RCNN and transfer learning-based deep learning framework

Automation Bias in Mammography: The Impact of Artificial Intelligence BI-RADS Suggestions on Reader Performance

Combining Noise-to-Image and Image-to-Image GANs: Brain MR Image Augmentation for Tumor Detection

A Framework for Effective Application of Machine Learning to Microbiome-Based Classification Problems