Alle Papers – KI in der Krebserkennung

Application of Artificial Intelligence in Healthcare: Chances and Challenges

Deep ensemble learning for Alzheimer's disease classification

Expectation–Maximization-Driven Geodesic Active Contour With Overlap Resolution (EMaGACOR): Application to Lymphocyte Segmentation on Breast Cancer Histopathology

Performance evaluation of deep neural ensembles toward malaria parasite detection in thin-blood smear images

Quantitative evaluation of automated skull‐stripping methods applied to contemporary and legacy images: Effects of diagnosis, bias correction, and slice location

Benign and malignant classification of mammogram images based on deep learning

Ms RED: A novel multi-scale residual encoding and decoding network for skin lesion segmentation

A BRCA1/2 mutation, high breast density and prominent pushing margins of a tumor independently contribute to a frequent false‐negative mammography

Collaborative analysis of multi-gigapixel imaging data using Cytomine

Applicability of ChatGPT in Assisting to Solve Higher Order Problems in Pathology

Classification of breast cancer histology images using incremental boosting convolution networks

Artificial Intelligence–Assisted Colonoscopy for Colorectal Cancer Screening: A Multicenter Randomized Controlled Trial

Deep Learning in Image Cytometry: A Review

Basal phenotype identifies a poor prognostic subgroup of breast cancer of clinical importance

Improving Dermoscopic Image Segmentation With Enhanced Convolutional-Deconvolutional Networks

Performance of Dual-Energy Contrast-enhanced Digital Mammography for Screening Women at Increased Risk of Breast Cancer

A deep-learning pipeline for the diagnosis and discrimination of viral, non-viral and COVID-19 pneumonia from chest X-ray images

A CATALOG OF PROSTATE CANCER NOMOGRAMS

The Digital Slide Archive: A Software Platform for Management, Integration, and Analysis of Histology for Cancer Research

PROSPECTIVE EVALUATION OF LATERAL BIOPSIES OF THE PERIPHERAL ZONE FOR PROSTATE CANCER DETECTION

Digital pathology and image analysis in tissue biomarker research

Predicting Breast Cancer by Applying Deep Learning to Linked Health Records and Mammograms

Artefacts in histopathology

Real-time automated diagnosis of precancerous lesions and early esophageal squamous cell carcinoma using a deep learning model (with videos)

The melanoma skin cancer detection and classification using support vector machine