Alle Papers – KI in der Krebserkennung
168.271 Papers insgesamt · Seite 382 von 400
INTERNATIONAL REVIEW OF CYTOLOGY
Classification of breast lesions using segmented quantitative ultrasound maps of homodyned <i>K</i> distribution parameters
Four Types of Multiclass Frameworks for Pneumonia Classification and Its Validation in X-ray Scans Using Seven Types of Deep Learning Artificial Intelligence Models
A novel approach to medical image compression
A Feasibility Study of Automated Inverse Treatment Planning for Cancer of the Prostate
Machine Learning and Image Interpretation
Toboggan contrast enhancement for contrast segmentation
Multiple Types of Cancer Classification Using CT/MRI Images Based on Learning Without Forgetting Powered Deep Learning Models
Exploring the potential of artificial intelligence in improving skin lesion diagnosis in primary care
Foundations of Neural Networks
Toward Foundational Deep Learning Models for Medical Imaging in the New Era of Transformer Networks
Effective features to classify skin lesions in dermoscopic images
Object detection based on deep learning for urine sediment examination
Computer‐assisted cytologic diagnosis in pancreatic FNA: An application of neural networks to image analysis
A Robust and Effective Approach Towards Accurate Metastasis Detection and pN-stage Classification in Breast Cancer
A machine learning approach to automatic detection of irregularity in skin lesion border using dermoscopic images
Healthy screened bias in epidemiologic studies of cancer incidence.
Ultrasound Tissue Characterization of Breast Biopsy Specimens
Effect of patient histoy data on the prediction of breast cancer from mammographic findings with artificial neural networks
Lung cancer detection and classification with DGMM-RBCNN technique
An inception‐ResNet deep learning approach to classify tumours in the ovary as benign and malignant
A novel method for tissue segmentation in high-resolution H&E-stained histopathological whole-slide images
Cell segmentation and tracking in phase contrast images using graph cut with asymmetric boundary costs
Classification of Skin Cancer empowered with convolutional neural network
Handling missing data through deep convolutional neural network