Alle Papers – KI in der Krebserkennung

A clinical decision support system learned from data to personalize treatment recommendations towards preventing breast cancer metastasis

Multiclass blood cancer classification using deep CNN with optimized features

Automatic recognition of different types of acute leukaemia in peripheral blood by image analysis

Mammogram Inspection by Computer

American society of cytopathology workload recommendations for automated pap test screening: Developed by the productivity and quality assurance in the era of automated screening task force

VAE with a VampPrior

Information and observer disagreement in histopathology

Exploring AdaBoost and Random Forests machine learning approaches for infrared pathology on unbalanced data sets

Computational Histological Staining and Destaining of Prostate Core Biopsy RGB Images with Generative Adversarial Neural Networks

Automated Segmentation of Nuclei in Breast Cancer Histopathology Images

A unified approach for detection, visualization, and identification of lung abnormalities in chest spiral CT scans

An Image Processing Application for the Localization and Segmentation of Lymphoblast Cell Using Peripheral Blood Images

Advanced Biomedical Image Analysis

Discriminating benign from malignant thyroid lesions using artificial intelligence and statistical selection of morphometric features

Deep Generative Breast Cancer Screening and Diagnosis

Visualizing and enhancing a deep learning framework using patients age and gender for chest x-ray image retrieval

Telecytology: A Tool for Quality Assessment and Improvement in the Evaluation of Thyroid Fine-Needle Aspiration Specimens

Dynamic telecytopathology of on site rapid cytology diagnoses for pancreatic carcinoma

A novel deep learning model DDU-net using edge features to enhance brain tumor segmentation on MR images

A Convolutional Neural Network and Graph Convolutional Network Based Framework for Classification of Breast Histopathological Images

Photographic Images, Digital Imaging, Dermatology, and the Law

Needle Biopsy Adequacy in the Era of Precision Medicine and Value-Based Health Care

Performance and Reading Time of Automated Breast US with or without Computer-aided Detection

Deep learning for prediction of hepatocellular carcinoma recurrence after resection or liver transplantation: a discovery and validation study

A data model and database for high-resolution pathology analytical image informatics