Alle Papers – KI in der Krebserkennung

Artificial intelligence in clinical and genomic diagnostics

Adjustment of systematic microarray data biases

Understanding and Using DICOM, the Data Interchange Standard for Biomedical Imaging

Boundary loss for highly unbalanced segmentation

Artificial intelligence as the next step towards precision pathology

Deep learning for magnification independent breast cancer histopathology image classification

Assessing Radiologist Performance Using Combined Digital Mammography and Breast Tomosynthesis Compared with Digital Mammography Alone: Results of a Multicenter, Multireader Trial

Histological grading of breast carcinomas: A study of interobserver agreement

Quantitative comparison of immunohistochemical staining measured by digital image analysis versus pathologist visual scoring

Pattern Classification

End-to-End Adversarial Retinal Image Synthesis

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2008

Making the most out of six systematic sextant biopsies

Pneumonia Detection Using CNN based Feature Extraction

ChatDoctor: A Medical Chat Model Fine-Tuned on a Large Language Model Meta-AI (LLaMA) Using Medical Domain Knowledge

Mammographic Characteristics of 115 Missed Cancers Later Detected with Screening Mammography and the Potential Utility of Computer-aided Detection

Computational pathology definitions, best practices, and recommendations for regulatory guidance: a white paper from the Digital Pathology Association

An ensemble approach for classification and prediction of diabetes mellitus using soft voting classifier

Quantitative Image Analysis of Cellular Heterogeneity in Breast Tumors Complements Genomic Profiling

Artificial neural networks in mammography: application to decision making in the diagnosis of breast cancer.

Large scale tissue histopathology image classification, segmentation, and visualization via deep convolutional activation features

Classification of mass and normal breast tissue: a convolution neural network classifier with spatial domain and texture images

Automated Gleason grading of prostate cancer tissue microarrays via deep learning

Deep Learning-Based Image Segmentation on Multimodal Medical Imaging

Transformers in medical image analysis