Alle Papers – KI in der Krebserkennung
168.310 Papers insgesamt · Seite 22 von 400
New machine learning method for image-based diagnosis of COVID-19
Cumulative Probability of False-Positive Recall or Biopsy Recommendation After 10 Years of Screening Mammography
Borderline Epithelial Lesions of the Breast
Artificial intelligence and machine learning for medical imaging: A technology review
Segment anything model for medical images?
Ensemble machine learning on gene expression data for cancer classification.
Adaptive, template moderated, spatially varying statistical classification
Ductal Carcinoma in Situ at Core-Needle Biopsy: Meta-Analysis of Underestimation and Predictors of Invasive Breast Cancer
Classification of Breast Cancer Based on Histology Images Using Convolutional Neural Networks
Anatomic standardization: linear scaling and nonlinear warping of functional brain images.
Evaluation of Combined Artificial Intelligence and Radiologist Assessment to Interpret Screening Mammograms
A fully integrated computer-aided diagnosis system for digital X-ray mammograms via deep learning detection, segmentation, and classification
Artificial intelligence-based image classification methods for diagnosis of skin cancer: Challenges and opportunities
Using Prior Shapes in Geometric Active Contours in a Variational Framework
Digital Image Processing for Medical Applications
Comparative study of textural analysis techniques to characterise tissue from intravascular ultrasound
Weakly Supervised Deep Learning for Whole Slide Lung Cancer Image Analysis
A review of automatic mass detection and segmentation in mammographic images
Deep Learning Models for Histopathological Classification of Gastric and Colonic Epithelial Tumours
Effect of a deep-learning computer-aided detection system on adenoma detection during colonoscopy (CADe-DB trial): a double-blind randomised study
Weakly Supervised Deep Learning for COVID-19 Infection Detection and Classification From CT Images
Prevalence of Mammographically Dense Breasts in the United States
ASF-YOLO: A novel YOLO model with attentional scale sequence fusion for cell instance segmentation
The skin cancer classification using deep convolutional neural network
A Deep Learning Architecture for Image Representation, Visual Interpretability and Automated Basal-Cell Carcinoma Cancer Detection