Alle Papers – KI in der Krebserkennung

Deep learning for Alzheimer's disease diagnosis: A survey

Toolkits and Libraries for Deep Learning

Deep learning beyond cats and dogs: recent advances in diagnosing breast cancer with deep neural networks

Classification of Skin Lesions into Seven Classes Using Transfer Learning with AlexNet

Hybrid prediction model with missing value imputation for medical data

Regularized ROC method for disease classification and biomarker selection with microarray data

COMPARATIVE EVALUATION OF PATTERN RECOGNITION TECHNIQUES FOR DETECTION OF MICROCALCIFICATIONS IN MAMMOGRAPHY

A Machine-Learning Approach Using PET-Based Radiomics to Predict the Histological Subtypes of Lung Cancer

Data augmentation using Generative Adversarial Networks (GANs) for GAN-based detection of Pneumonia and COVID-19 in chest X-ray images

Deep learning-enabled pelvic ultrasound images for accurate diagnosis of ovarian cancer in China: a retrospective, multicentre, diagnostic study

Classification and diagnosis of cervical cancer with stacked autoencoder and softmax classification

Nature of expertise in searching mammograms for breast masses

Deep Learning Based Capsule Neural Network Model for Breast Cancer Diagnosis Using Mammogram Images

Morphological Granulometric Features of Nucleus in Automatic Bone Marrow White Blood Cell Classification

Computer image analysis in the diagnosis of melanoma

Automatic Skin Lesion Analysis using Large-scale Dermoscopy Images and Deep Residual Networks

A survey on deep learning for skin lesion segmentation

Learning to diagnose from scratch by exploiting dependencies among\n labels

Progressive Transfer Learning and Adversarial Domain Adaptation for Cross-Domain Skin Disease Classification

Estimating the accuracy of screening mammography

Automated classification of Pap smear images to detect cervical dysplasia

Shape Constrained Automatic Segmentation of the Liver based on a Heuristic Intensity Model

Computer-aided characterization of mammographic masses: accuracy of mass segmentation and its effects on characterization

Multiclass CBCT Image Segmentation for Orthodontics with Deep Learning

Early Diagnosis of Brain Tumour MRI Images Using Hybrid Techniques between Deep and Machine Learning