Alle Papers – KI in der Krebserkennung
168.310 Papers insgesamt · Seite 37 von 400
Adaptive local thresholding for detection of nuclei in diversity stained cytology images
The use of active shape models for locating structures in medical images
Screening Breast Ultrasound: Past, Present, and Future
Implementation of artificial intelligence (AI) applications in radiology: hindering and facilitating factors
Physician perspectives on integration of artificial intelligence into diagnostic pathology
A DEEP LEARNING APPROACH FOR CANCER DETECTION AND RELEVANT GENE IDENTIFICATION
A convolutional neural network trained with dermoscopic images performed on par with 145 dermatologists in a clinical melanoma image classification task
A deep CNN based multi-class classification of Alzheimer's disease using MRI
Deep learning with non-medical training used for chest pathology identification
Textural analysis of contrast‐enhanced MR images of the breast
MSRF-Net: A Multi-Scale Residual Fusion Network for Biomedical Image Segmentation
Image segmentation via adaptive K-mean clustering and knowledge-based morphological operations with biomedical applications
Impact of a deep learning assistant on the histopathologic classification of liver cancer
Deep learning-enabled virtual histological staining of biological samples
A deep learning algorithm to predict risk of pancreatic cancer from disease trajectories
An overview of mammographic density and its association with breast cancer
Differential Data Augmentation Techniques for Medical Imaging Classification Tasks.
Medical image analysis based on deep learning approach
Digital image analysis in breast pathology—from image processing techniques to artificial intelligence
AI-based computer-aided diagnosis (AI-CAD): the latest review to read first
Artificial intelligence for breast cancer detection in screening mammography in Sweden: a prospective, population-based, paired-reader, non-inferiority study
Combining low-, high-level and empirical domain knowledge for automated segmentation of ultrasonic breast lesions
Generating synthetic CTs from magnetic resonance images using generative adversarial networks
Volumetric texture analysis of breast lesions on contrast‐enhanced magnetic resonance images
Weakly supervised histopathology cancer image segmentation and classification