Alle Papers – KI in der Krebserkennung

Artificial intelligence, machine learning and deep learning: definitions and differences

Deep learning-based cross-classifications reveal conserved spatial behaviors within tumor histological images

Skin Lesion Analyser: An Efficient Seven-Way Multi-class Skin Cancer Classification Using MobileNet

Step-wise integration of deep class-specific learning for dermoscopic image segmentation

A multi-scale convolutional neural network for phenotyping high-content cellular images

Deep-Pneumonia Framework Using Deep Learning Models Based on Chest X-Ray Images

Histopathologic Technic and Practical Histochemistry

The Gold Standard Paradox in Digital Image Analysis: Manual Versus Automated Scoring as Ground Truth

MoNuSAC2020: A Multi-Organ Nuclei Segmentation and Classification Challenge

A framework for breast cancer classification using Multi-DCNNs

Combined Value of Validated Clinical and Genomic Risk Stratification Tools for Predicting Prostate Cancer Mortality in a High-risk Prostatectomy Cohort

History and application of artificial neural networks in dentistry

Computerized classification of intraductal breast lesions using histopathological images

Learning to diagnose from scratch by exploiting dependencies among labels

Boundary modelling and shape analysis methods for classification of mammographic masses

Computer-aided diagnosis: a neural-network-based approach to lung nodule detection

Artificial intelligence for precision oncology: beyond patient stratification

Automatic white blood cell classification using pre-trained deep learning models: ResNet and Inception

High-Speed Automatic Analysis of Biomedical Pictures

High-Resolution Breast Cancer Screening with Multi-View Deep Convolutional Neural Networks

Creating Artificial Images for Radiology Applications Using Generative Adversarial Networks (GANs) – A Systematic Review

DP-CGAN: Differentially Private Synthetic Data and Label Generation

Automatic ultrasound segmentation and morphology based diagnosis of solid breast tumors

Constrained Deep Weak Supervision for Histopathology Image Segmentation

A review on methods for diagnosis of breast cancer cells and tissues