Alle Papers – KI in der Krebserkennung

A Dataset and a Technique for Generalized Nuclear Segmentation for Computational Pathology

Explainable artificial intelligence (XAI) in deep learning-based medical image analysis

Exploring the effect of image enhancement techniques on COVID-19 detection using chest X-ray images

Applications of Machine Learning in Cancer Prediction and Prognosis

Deep learning as a tool for increased accuracy and efficiency of histopathological diagnosis

The Liver Tumor Segmentation Benchmark (LiTS)

Deep Learning: A Primer for Radiologists

Ten-Year Risk of False Positive Screening Mammograms and Clinical Breast Examinations

Overview of deep learning in medical imaging

Histologic grading of prostate cancer: A perspective

Deep convolutional neural network based medical image classification for disease diagnosis

Preparing a collection of radiology examinations for distribution and retrieval

Classification using deep learning neural networks for brain tumors

Multisurface method of pattern separation for medical diagnosis applied to breast cytology.

Predicting cancer outcomes from histology and genomics using convolutional networks

Image analysis and machine learning in digital pathology: Challenges and opportunities

Transformers in medical imaging: A survey

Radiomics: the facts and the challenges of image analysis

Automated model-based tissue classification of MR images of the brain

Breast Density as a Predictor of Mammographic Detection: Comparison of Interval- and Screen-Detected Cancers

The American College of Radiology (ACR) Breast Imaging and Reporting Data System (BI-RADS™): A step towards a universal radiological language?

Predicting survival from colorectal cancer histology slides using deep learning: A retrospective multicenter study

Predicting non-small cell lung cancer prognosis by fully automated microscopic pathology image features

Classification of breast cancer histology images using Convolutional Neural Networks

Comparison of Digital Mammography Alone and Digital Mammography Plus Tomosynthesis in a Population-based Screening Program