Alle Papers – KI in der Krebserkennung

Effective feature learning and fusion of multimodality data using stage‐wise deep neural network for dementia diagnosis

Artificial intelligence for assisting cancer diagnosis and treatment in the era of precision medicine

Cost-effectiveness of Screening BRCA1/2 Mutation Carriers With Breast Magnetic Resonance Imaging

Development of a real-time endoscopic image diagnosis support system using deep learning technology in colonoscopy

Automated seeded lesion segmentation on digital mammograms

Artificial Intelligence in Colorectal Cancer Screening, Diagnosis and Treatment. A New Era

Variability in Interpretive Performance at Screening Mammography and Radiologists’ Characteristics Associated with Accuracy

Detection of microcalcifications in digital mammograms using wavelets

Longitudinal Measurement of Clinical Mammographic Breast Density to Improve Estimation of Breast Cancer Risk

Data-Driven Cervical Cancer Prediction Model with Outlier Detection and Over-Sampling Methods

Pan-Renal Cell Carcinoma classification and survival prediction from histopathology images using deep learning

ANN vs. SVM: Which one performs better in classification of MCCs in mammogram imaging

Breast Cancer Classification From Histopathological Images Using Patch-Based Deep Learning Modeling

Segment anything model for medical image segmentation: Current applications and future directions

DeeperGCN: All You Need to Train Deeper GCNs

Conventional Machine Learning and Deep Learning Approach for Multi-Classification of Breast Cancer Histopathology Images—a Comparative Insight

Artificial Neural Networks in Medical Diagnosis

A comprehensive review of computer-aided whole-slide image analysis: from datasets to feature extraction, segmentation, classification and detection approaches

Breast Lesions on Sonograms: Computer-aided Diagnosis with Nearly Setting-Independent Features and Artificial Neural Networks

Detection of Skin Cancer Using SVM, Random Forest and kNN Classifiers

Level-set evolution with region competition: automatic 3-D segmentation of brain tumors

Human-level recognition of blast cells in acute myeloid leukaemia with convolutional neural networks

Clinically and mammographically occult breast lesions: Detection and classification with high-resolution sonography

A Boosted Bayesian Multiresolution Classifier for Prostate Cancer Detection From Digitized Needle Biopsies

Machine learning for medical ultrasound: status, methods, and future opportunities