Alle Papers – KI in der Krebserkennung

Internet of health things-driven deep learning system for detection and classification of cervical cells using transfer learning

Does Training in the Breast Imaging Reporting and Data System (BI-RADS) Improve Biopsy Recommendations or Feature Analysis Agreement with Experienced Breast Imagers at Mammography?

Randomized Clinical Trials of Machine Learning Interventions in Health Care

Single Model Deep Learning on Imbalanced Small Datasets for Skin Lesion Classification

Malignant and benign clustered microcalcifications: automated feature analysis and classification.

Cancer imaging phenomics toolkit: quantitative imaging analytics for precision diagnostics and predictive modeling of clinical outcome

Digital Mammography Imaging: Breast Tomosynthesis and Advanced Applications

Performance analysis of various machine learning-based approaches for detection and classification of lung cancer in humans

Quantitative imaging of cancer in the postgenomic era: Radio(geno)mics, deep learning, and habitats

DIGITAL RECTAL EXAMINATION FOR DETECTING PROSTATE CANCER AT PROSTATE SPECIFIC ANTIGEN LEVELS OF 4 NG./ML. OR LESS

Clinical Value of RNA Sequencing–Based Classifiers for Prediction of the Five Conventional Breast Cancer Biomarkers: A Report From the Population-Based Multicenter Sweden Cancerome Analysis Network—Breast Initiative

FCN-Based DenseNet Framework for Automated Detection and Classification of Skin Lesions in Dermoscopy Images

Partitioning Histopathological Images: An Integrated Framework for Supervised Color-Texture Segmentation and Cell Splitting

Prostate Cancer Detection using Deep Convolutional Neural Networks

Patch-based system for Classification of Breast Histology images using deep learning

Melanoma lesion detection and segmentation using deep region based convolutional neural network and fuzzy C-means clustering

The application of deep learning based diagnostic system to cervical squamous intraepithelial lesions recognition in colposcopy images

Prediction of breast cancer using support vector machine and K-Nearest neighbors

Accuracy in melanoma detection: A 10-year multicenter survey

Multi-class multi-level classification algorithm for skin lesions classification using machine learning techniques

Convolutional Neural Networks Using MobileNet for Skin Lesion Classification

Reviewing ensemble classification methods in breast cancer

Comparison of rebiopsy rates after stereotactic core needle biopsy of the breast with 11-gauge vacuum suction probe versus 14-gauge needle and automatic gun.

Cancer Digital Slide Archive: an informatics resource to support integrated in silico analysis of TCGA pathology data

Computer-Aided Diagnosis and Artificial Intelligence in Clinical Imaging