Alle Papers – KI in der Krebserkennung

How to read and review papers on machine learning and artificial intelligence in radiology: a survival guide to key methodological concepts

Segmentation of overlapping cervical cells: A variational method with star-shape prior

Deep Learning-Based Recognition of Periodontitis and Dental Caries in Dental X-ray Images

Xerography of the Breast

Optimizing area under the ROC curve using semi-supervised learning

Ensemble of subspace discriminant classifiers for schistosomal liver fibrosis staging in mice microscopic images

A transfer learning with structured filter pruning approach for improved breast cancer classification on point-of-care devices

A QUANTITATIVE STUDY OF DECALCIFICATION METHODS IN HISTOLOGY

Nuclear pleomorphism scoring by selective cell nuclei detection

Number of projections in mammography: influence on detection of breast disease

Deep learning techniques in liver tumour diagnosis using CT and MR imaging - A systematic review

Analysis of blood and bone marrow smears using digital image processing techniques

Automatic liver and tumour segmentation from CT images using Deep learning algorithm

Computer-aided diagnosis of lung cancer based on analysis of the significant slice of chest computed tomography image

Blinded Comparison of Computer-Aided Detection with Human Second Reading in Screening Mammography

A systematic survey of deep learning in breast cancer

Digital cytology: A short review of technical and methodological approaches and applications

Comparison of Diagnostic and Management Sensitivity to Melanoma Between Dermatologists and MelaFind: A Pilot Study

A novel soft cluster neural network for the classification of suspicious areas in digital mammograms

IS&T / SPIE Electronic Imaging

Fractal dimension as a prognostic factor for laryngeal carcinoma.

Breast lesion analysis of shape technique: Semiautomated vs. manual morphological description

Young investigator challenge: The accuracy of the nuclear‐to‐cytoplasmic ratio estimation among trained morphologists

Stereotactic breast biopsy is accurate, minimally invasive, and cost effective

Accuracy of gleason grading by practicing pathologists and the impact of education on improving agreement