Alle Papers – KI in der Krebserkennung

Discriminative Feature Learning for Skin Disease Classification Using Deep Convolutional Neural Network

Classification for invasion depth of esophageal squamous cell carcinoma using a deep neural network compared with experienced endoscopists

GLCM Based Feature Extraction and Medical X-RAY Image Classification using Machine Learning Techniques

NAGNN: Classification of COVID‐19 based on neighboring aware representation from deep graph neural network

Computer-aided Detection in the United Kingdom National Breast Screening Programme: Prospective Study

Federated Machine Learning for Detection of Skin Diseases and Enhancement of Internet of Medical Things (IoMT) Security

Utilizing Mask R-CNN for Detection and Segmentation of Oral Diseases

Computer vision and machine learning for medical image analysis: recent advances, challenges, and way forward

Breast Cancer Detection, Segmentation and Classification on Histopathology Images Analysis: A Systematic Review

Digital breast tomosynthesis (DBT): a review of the evidence for use as a screening tool

Modified U-NET Architecture for Segmentation of Skin Lesion

Melanoma Skin Cancer Detection using Image Processing and Machine Learning

Lesion conspicuity, structured noise, and film reader error

Screening ultrasound as an adjunct to mammography in women with mammographically dense breasts

Breast Cancer Risk Assessment Tool

Artificial intelligence assistance significantly improves Gleason grading of prostate biopsies by pathologists

A Convolutional Neural Network Framework for Accurate Skin Cancer Detection

An Improved VGG16 Model for Pneumonia Image Classification

Breast ultrasound region of interest detection and lesion localisation

Radiomics Improves Cancer Screening and Early Detection

Histologic Grading of Breast Cancer: Linkage of Patient Outcome with Level of Pathologist Agreement

An overview of deep learning methods for multimodal medical data mining

On Combining Biclustering Mining and AdaBoost for Breast Tumor Classification

Melanoma Skin Cancer Detection Method Based on Adaptive Principal Curvature, Colour Normalisation and Feature Extraction with the ABCD Rule

Positive Predictive Value of Specific Mammographic Findings according to Reader and Patient Variables