Alle Papers – KI in der Krebserkennung

Automatic pectoral muscle segmentation on mammograms by straight line estimation and cliff detection

Learning to Rank Atlases for Multiple-Atlas Segmentation

Evaluating reproducibility of AI algorithms in digital pathology with DAPPER

Observer variability in cancer detection during routine repeat (incident) mammographic screening in a study of two versus one view mammography

CoV2-Detect-Net: Design of COVID-19 prediction model based on hybrid DE-PSO with SVM using chest X-ray images

MobileNet-SVM: A Lightweight Deep Transfer Learning Model to Diagnose BCH Scans for IoMT-Based Imaging Sensors

Histological grading in breast cancer: interobserver agreement, and relation to other prognostic factors including ploidy

Proliferative disease and atypia in biopsies performed for nonpalpable lesions detected mammographically

Shannon and Non-Shannon Measures of Entropy for Statistical Texture Feature Extraction in Digitized Mammograms

Diaphanography: A method for evaluation of the female breast

Bits and bytes: the future of radiology lies in informatics and information technology

Multi-field-of-view strategy for image-based outcome prediction of multi-parametric estrogen receptor-positive breast cancer histopathology: Comparison to Oncotype DX

A Novel Approach for Removal of Pectoral Muscles in Digital Mammogram

Classification of COVID-19 Chest CT Images Based on Ensemble Deep Learning

Breast cancer prediction based on neural networks and extra tree classifier using feature ensemble learning

Breast cancer detection using image processing techniques

Static image telepathology in perspective

Model Based on Deep Feature Extraction for Diagnosis of Alzheimer’s Disease

Breast-lesions characterization using Quantitative Ultrasound features of peritumoral tissue

Challenges for Data Storage in Medical Imaging Research

Automatic computer-aided diagnosis system for mass detection and classification in mammography

Fuzzy Logic with Deep Learning for Detection of Skin Cancer

A Multi-resolution Approach for Combining Visual Information using Nuclei Segmentation and Classification in Histopathological Images

Artificial Intelligence-Based Breast Cancer Diagnosis Using Ultrasound Images and Grid-Based Deep Feature Generator

The potential application of artificial intelligence in veterinary clinical practice and biomedical research