Alle Papers – KI in der Krebserkennung

Residual-Attention UNet++: A Nested Residual-Attention U-Net for Medical Image Segmentation

A Framework of Vertebra Segmentation Using the Active Shape Model-Based Approach

A Preliminary Checklist (METRICS) to Standardize the Design and Reporting of Studies on Generative Artificial Intelligence–Based Models in Health Care Education and Practice: Development Study Involving a Literature Review

Pathologist Interobserver Variability of Histologic Features in Childhood Brain Tumors: Results from the CCG-945 Study

Computer-Aided Detection and Diagnosis in Medical Imaging

A deep learning system to diagnose the malignant potential of urothelial carcinoma cells in cytology specimens

Medical image processing and COVID-19: A literature review and bibliometric analysis

This Dataset Does Not Exist: Training Models from Generated Images

CacheTrack-YOLO: Real-Time Detection and Tracking for Thyroid Nodules and Surrounding Tissues in Ultrasound Videos

Computer-aided detection in direct digital full-field mammography: initial results

Breast Cancer Detection Using PCPCET and ADEWNN: A Geometric Invariant Approach to Medical X-Ray Image Sensors

Breast Cancer: Early Detection

Early detection of breast cancer using hybrid of series network and VGG-16

Diagnostic accuracy of chest X-rays acquired using a digital camera for low-cost teleradiology

Intraoperative ultrasound facilitates surgery for early breast cancer

Digital image analysis: a review of reproducibility, stability and basic requirements for optimal results

A statistical methodology for mammographic density detection

Automatic labeling of molecular biomarkers of immunohistochemistry images using fully convolutional networks

Classification of Patients with Breast Cancer using Neighbourhood Component Analysis and Supervised Machine Learning Techniques

Deep Learning for Medical Image Cryptography: A Comprehensive Review

RETRACTED ARTICLE: Classification of lung cancer stages with machine learning over big data healthcare framework

Bidirectional local distance measure for comparing segmentations

Semisupervised Learning with Report-guided Pseudo Labels for Deep Learning–based Prostate Cancer Detection Using Biparametric MRI

Automated Ki-67 Quantification of Immunohistochemical Staining Image of Human Nasopharyngeal Carcinoma Xenografts

Experience and present status of telepathology in the National Cancer Center Hospital, Tokyo.