Alle Papers – KI in der Krebserkennung

Interobserver Variation in the Histopathologic Reporting of Key Prognostic Parameters, Particularly Clark Level, Affects Pathologic Staging of Primary Cutaneous Melanoma

Medical Image Segmentation: A Comprehensive Review of Deep Learning-Based Methods

Lesion Detection and Characterization in a Breast US Phantom: Results of the ACRIN 6666 Investigators

An "intelligent" workstation for computer-aided diagnosis.

Artificial Intelligence: A Primer for Breast Imaging Radiologists

Combining classifiers for bone fracture detection in X-ray images

Artificial Intelligence for Breast MRI in 2008–2018: A Systematic Mapping Review

Vascular Segmentation in TOF MRA Images of the Brain Using a Deep Convolutional Neural Network

Semi-Supervised Histology Classification using Deep Multiple Instance\n Learning and Contrastive Predictive Coding

3D segmentation of coronary arteries based on advanced mathematical morphology techniques

Diagnosis of Breast Cancer using Machine Learning Techniques -A Survey

Artificial intelligence in orthodontics

Alveolar bone-loss area localization in periodontitis radiographs based on threshold segmentation with a hybrid feature fused of intensity and the H-value of fractional Brownian motion model

An optimized model based on adaptive convolutional neural network and grey wolf algorithm for breast cancer diagnosis

Mammographic and histopathologic correlation of nonpalpable lesions of the breast and the reliability of frozen section diagnosis.

Automated melanoma detection: Multispectral imaging and neural network approach for classification

Cancer Prediction using Machine Learning

Generative Adversarial Networks in Medical Image Processing

HIC-net: A deep convolutional neural network model for classification of histopathological breast images

Checklist for responsible deep learning modeling of medical images based on COVID-19 detection studies

Nuclear Segmentation in Histopathological Images Using Two-Stage Stacked U-Nets With Attention Mechanism

Breast Cancer Detection with Machine Learning

Classification of Histopathological Images of Breast Cancerous and Non Cancerous Cells based on Morphological Features

Lung cancer diagnosis in CT images based on Alexnet optimized by modified Bowerbird optimization algorithm

Segmentation of Brain MRI Using SOM-FCM-Based Method and 3D Statistical Descriptors