Alle Papers – KI in der Krebserkennung

Digital pathology: current status and future perspectives

Breast cancer classification using machine learning

Results of a Multi-Institution Deformable Registration Accuracy Study (MIDRAS)

The impact of pre- and post-image processing techniques on deep learning frameworks: A comprehensive review for digital pathology image analysis

Multifeature Prostate Cancer Diagnosis and Gleason Grading of Histological Images

Existing data sources for clinical epidemiology: the Danish National Pathology Registry and Data Bank

A Fuzzy C-Means (FCM)-Based Approach for Computerized Segmentation of Breast Lesions in Dynamic Contrast-Enhanced MR Images1

BI-RADS for Sonography: Positive and Negative Predictive Values of Sonographic Features

Deep Convolutional Neural Networks for Chest Diseases Detection

A pathology foundation model for cancer diagnosis and prognosis prediction

Mammographic feature enhancement by multiscale analysis

Association Between Surgical Skin Markings in Dermoscopic Images and Diagnostic Performance of a Deep Learning Convolutional Neural Network for Melanoma Recognition

Combining intensity, edge and shape information for 2D and 3D segmentation of cell nuclei in tissue sections

Artificial convolution neural network techniques and applications for lung nodule detection

A deep learning framework for supporting the classification of breast lesions in ultrasound images

Breast cancer histopathological image classification using convolutional neural networks with small SE-ResNet module

Covid-19 classification by FGCNet with deep feature fusion from graph convolutional network and convolutional neural network

Multiple skin lesions diagnostics via integrated deep convolutional networks for segmentation and classification

Lung cancer cell identification based on artificial neural network ensembles

Generation and evaluation of synthetic patient data

Evaluation of artificial intelligence techniques in disease diagnosis and prediction

Deep Learning for Classification of Colorectal Polyps on Whole-slide Images

Extracting Possibly Representative COVID-19 Biomarkers from X-ray Images with Deep Learning Approach and Image Data Related to Pulmonary Diseases

Geodesic Information Flows: Spatially-Variant Graphs and Their Application to Segmentation and Fusion

Stereotactic breast biopsy with a biopsy gun.