Alle Papers – KI in der Krebserkennung
172.746 Papers insgesamt · Seite 61 von 400
Current trends in medical image registration and fusion
Patient navigation and case management following an abnormal mammogram: A randomized clinical trial
Wavelets for contrast enhancement of digital mammography
MetaCOVID: A Siamese neural network framework with contrastive loss for n-shot diagnosis of COVID-19 patients
Mammographic breast density and the risk of breast cancer: A systematic review and meta-analysis
Mammographic Images Enhancement and Denoising for Breast Cancer Detection Using Dyadic Wavelet Processing
Interpretable survival prediction for colorectal cancer using deep learning
Variability and reproducibility in deep learning for medical image segmentation
Statistical textural features for detection of microcalcifications in digitized mammograms
Sono-Elasticity: Medical Elasticity Images Derived from Ultrasound Signals in Mechanically Vibrated Targets
Capsules for Object Segmentation
Breast cancer: prediction with artificial neural network based on BI-RADS standardized lexicon.
U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation
Wndchrm – an open source utility for biological image analysis
A Feature Set for Cytometry on Digitized Microscopic Images
BOADICEA breast cancer risk prediction model: updates to cancer incidences, tumour pathology and web interface
Accuracy of Screening Mammography Interpretation by Characteristics of Radiologists
CVDNet: A novel deep learning architecture for detection of coronavirus (Covid-19) from chest x-ray images
Mammogram classification using two dimensional discrete wavelet transform and gray-level co-occurrence matrix for detection of breast cancer
Machine learning for assisting cervical cancer diagnosis: An ensemble approach
An RDAU-NET model for lesion segmentation in breast ultrasound images
Deep Convolutional Neural Networks for Breast Cancer Histology Image Analysis
Lung Cancer Detection Using Convolutional Neural Network on Histopathological Images
Radiological images and machine learning: Trends, perspectives, and prospects
Case-Control Study of Factors Associated With Failure to Detect Breast Cancer by Mammography