Alle Papers – KI in der Krebserkennung

Feature Extraction and Classification of Blood Cells Using Artificial Neural Network

Comparison of synthetic mammography, reconstructed from digital breast tomosynthesis, and digital mammography: evaluation of lesion conspicuity and BI-RADS assessment categories

Improving accuracy in gynecologic cytology. Results of the College of American Pathologists Interlaboratory Comparison Program in Cervicovaginal Cytology.

Uncertainty-Aware Organ Classification for Surgical Data Science Applications in Laparoscopy

Breast Cancer Mass Detection in Mammograms using Kmeans and Fuzzy Cmeans Clustering

Stereotactic Vacuum-Assisted Breast Biopsy Is Not a Therapeutic Procedure Even When All Mammographically Found Calcifications Are Removed: Analysis of 4,086 Procedures

Considering patient clinical history impacts performance of machine learning models in predicting course of multiple sclerosis

Computer image analysis with artificial intelligence: a practical introduction to convolutional neural networks for medical professionals

Difficulty-Aware Meta-learning for Rare Disease Diagnosis

Deep model with Siamese network for viable and necrotic tumor regions assessment in osteosarcoma

Initial experiences of using an automated volumetric measure of breast density: the standard mammogram form

Skin Lesion Classification in Dermoscopy Images Using Synergic Deep Learning

An automatic mitosis detection method for breast cancer histopathology slide images based on objective and pixel-wise textural features classification

Collaborative and Adversarial Learning of Focused and Dispersive Representations for Semi-supervised Polyp Segmentation

Ultrasound Image Classification of Thyroid Nodules Using Machine Learning Techniques

Ultrasound morphology of invasive lobular breast cancer is different compared with other types of breast cancer

Screening for Dense Breasts: Digital Breast Tomosynthesis

Prediction of malignant and benign of lung tumor using a quantitative radiomic method

Nuclei Segmentation via a Deep Panoptic Model with Semantic Feature Fusion

Peripheral blood smear image analysis: A comprehensive review

Prediction of Pathological Complete Response to Neoadjuvant Chemotherapy in Breast Cancer Using Deep Learning with Integrative Imaging, Molecular and Demographic Data

Deep learning based Nucleus Classification in pancreas histological images

Automatic rib segmentation and labeling in computed tomography scans using a general framework for detection, recognition and segmentation of objects in volumetric data

Breast microcalcifications: Past, present and future (Review)

Artificial intelligence and algorithmic computational pathology: an introduction with renal allograft examples