Alle Papers – KI in der Krebserkennung

Volumetric Breast Density Estimation from Full-Field Digital Mammograms: A Validation Study

Weakly supervised 3D deep learning for breast cancer classification and localization of the lesions in MR images

Skin disease detection using deep learning

Artificial Neural Networks Applied to Survival Prediction in Breast Cancer

Dermoscopic diagnosis by a trained clinician vs. a clinician with minimal dermoscopy training vs. computer-aided diagnosis of 341 pigmented skin lesions: a comparative study

The Role of Ultrasound in Breast Cancer Screening: The Case for and Against Ultrasound

Automated detection of third molars and mandibular nerve by deep learning

Data Mining Techniques: To Predict and Resolve Breast Cancer Survivability

Medical Transformer: Gated Axial-Attention for Medical Image Segmentation

Digital Mammography

Implementation of Digital Pathology Offers Clinical and Operational Increase in Efficiency and Cost Savings

Deep learning trained on hematoxylin and eosin tumor region of Interest predicts HER2 status and trastuzumab treatment response in HER2+ breast cancer

Self-supervised Feature Learning for 3D Medical Images by Playing a Rubik’s Cube

Machine Learning and Deep Learning Algorithms for Skin Cancer Classification from Dermoscopic Images

Automated diagnosis of prostate cancer in multi-parametric MRI based on multimodal convolutional neural networks

Addition of Tomosynthesis to Conventional Digital Mammography: Effect on Image Interpretation Time of Screening Examinations

Primary staging and follow-up in melanoma patients – monocenter evaluation of methods, costs and patient survival

Automated brain histology classification using machine learning

Automatic classification and detection of oral cancer in photographic images using deep learning algorithms

Bone Cancer Detection Using Feature Extraction Based Machine Learning Model

Toward Routine Use of 3D Histopathology as a Research Tool

Patient Similarity Networks for Precision Medicine

Full-Field Digital Versus Screen-Film Mammography: Comparative Accuracy in Concurrent Screening Cohorts

Breast imaging: A survey

Recognition of acute lymphoblastic leukemia cells in microscopic images using k-means clustering and support vector machine classifier