Alle Papers – KI in der Krebserkennung

Evaluation of Digital Breast Tomosynthesis as Replacement of Full-Field Digital Mammography Using an In Silico Imaging Trial

The role of artificial intelligence in medical imaging research

Cost-effectiveness of artificial intelligence for screening colonoscopy: a modelling study

Comparison of traditional image processing and deep learning approaches for classification of white blood cells in peripheral blood smear images

Improving the Distinction between Benign and Malignant Breast Lesions: The Value of Sonographic Texture Analysis

Lower Adenoma Miss Rate of Computer-Aided Detection-Assisted Colonoscopy vs Routine White-Light Colonoscopy in a Prospective Tandem Study

Artificial intelligence: Deep learning in oncological radiomics and challenges of interpretability and data harmonization

Deep Learning for Accurate Diagnosis of Liver Tumor Based on Magnetic Resonance Imaging and Clinical Data

Histologic grading of breast carcinoma. A reproducibility study

Telepathology overview: From concept to implementation

Artificial intelligence and computer-aided diagnosis in colonoscopy: current evidence and future directions

Automatic Imaging System With Decision Support for Inspection of Pigmented Skin Lesions and Melanoma Diagnosis

Computer-Aided Diagnosis Based on Convolutional Neural Network System for Colorectal Polyp Classification: Preliminary Experience

ColonFormer: An Efficient Transformer Based Method for Colon Polyp Segmentation

An improved transformer network for skin cancer classification

Systematic outperformance of 112 dermatologists in multiclass skin cancer image classification by convolutional neural networks

HookNet: Multi-resolution convolutional neural networks for semantic segmentation in histopathology whole-slide images

Increasing Use of Mammography Among Older, Rural African American Women: Results From a Community Trial

Test-time augmentation for deep learning-based cell segmentation on microscopy images

Breast ultrasound image segmentation: a survey

Use of whole slide imaging in surgical pathology quality assurance: design and pilot validation studies

Estimation of breast percent density in raw and processed full field digital mammography images via adaptive fuzzy c‐means clustering and support vector machine segmentation

Automatic COVID-19 detection from X-ray images using ensemble learning with convolutional neural network

SD-CNN: A shallow-deep CNN for improved breast cancer diagnosis

Large, Central Acellular Zones Indicating Myoepithelial Tumor Differentiation in High-Grade Invasive Ductal Carcinomas as Markers of Predisposition to Lung and Brain Metastases