Alle Papers – KI in der Krebserkennung
168.310 Papers insgesamt · Seite 31 von 400
Selective Feature Aggregation Network with Area-Boundary Constraints for Polyp Segmentation
Federated learning for medical image analysis: A survey
Deep features to classify skin lesions
Deep Convolutional Neural Networks Enable Discrimination of Heterogeneous Digital Pathology Images
Deep Learning in Medical Imaging
MILD-Net: Minimal information loss dilated network for gland instance segmentation in colon histology images
Construction of an abdominal probabilistic atlas and its application in segmentation
Deformable models in medical image analysis
Use of artificial intelligence for image analysis in breast cancer screening programmes: systematic review of test accuracy
The Pap test and Bethesda 2014
BioImage Suite: An integrated medical image analysis suite: An update
Image Segmentation Based on 2D Otsu Method with Histogram Analysis
A New 2.5D Representation for Lymph Node Detection Using Random Sets of Deep Convolutional Neural Network Observations
Estimating the bias field of MR images
Melanoma Classification on Dermoscopy Images Using a Neural Network Ensemble Model
The role of artificial intelligence in precision medicine
Towards Generalist Biomedical AI
Convolutional capsnet: A novel artificial neural network approach to detect COVID-19 disease from X-ray images using capsule networks
Multi-task learning for segmentation and classification of tumors in 3D automated breast ultrasound images
What is AI? Applications of artificial intelligence to dermatology
Two-View Digital Breast Tomosynthesis Screening with Synthetically Reconstructed Projection Images: Comparison with Digital Breast Tomosynthesis with Full-Field Digital Mammographic Images
Breast cancer detection using deep learning: Datasets, methods, and challenges ahead
Implementation of Breast Tomosynthesis in a Routine Screening Practice: An Observational Study
Lymph node metastasis prediction of papillary thyroid carcinoma based on transfer learning radiomics
Small-sample precision of ROC-related estimates