Alle Papers – KI in der Krebserkennung
168.271 Papers insgesamt · Seite 355 von 400
UniMiSS: Universal Medical Self-supervised Learning via Breaking Dimensionality Barrier
Multi-vendor evaluation of artificial intelligence as an independent reader for double reading in breast cancer screening on 275,900 mammograms
MSDANet: A multi-scale dilation attention network for medical image segmentation
Effect of integrating 3D-mammography (digital breast tomosynthesis) with 2D-mammography on radiologists’ true-positive and false-positive detection in a population breast screening trial
TBConvL-Net: A hybrid deep learning architecture for robust medical image segmentation
A New Method for Segmentation of Colour Images Applied to Immunohistochemically Stained Cell Nuclei
Mathematics and Computer Science in Medical Imaging
Automatic Detection of Cervical Cancer Cells by a Two-Level Cascade Classification System
Effect of computer-aided detection as a second reader in multidetector-row CT colonography
Computer-aided classification of sickle cell retinopathy using quantitative features in optical coherence tomography angiography
Machine Learning for Endometrial Cancer Prediction and Prognostication
An End-to-End Lightweight Multi-Scale CNN for the Classification of Lung and Colon Cancer with XAI Integration
A Radio-genomics Approach for Identifying High Risk Estrogen Receptor-positive Breast Cancers on DCE-MRI: Preliminary Results in Predicting OncotypeDX Risk Scores
A Machine Learning Approach to Predict Thyroid Disease at Early Stages of Diagnosis
Towards Generation, Management, and Exploration of Combined Radiomics and Pathomics Datasets for Cancer Research.
A Combination Verhoeffs Elastic and Masson's Trichrome Stain for Routine Histology
Clinical evaluation of an international static image–based telepathology service
The Application of Deep Convolutional Neural Networks to Brain Cancer Images: A Survey
ARF-Net: An Adaptive Receptive Field Network for breast mass segmentation in whole mammograms and ultrasound images
A system for the detection of melanomas in dermoscopy images using shape and symmetry features
Noninvasive prediction of lymph node status for patients with early-stage cervical cancer based on radiomics features from ultrasound images
Deep learning algorithm performance evaluation in detection and classification of liver disease using CT images
Leveraging Uncertainty Estimates for Predicting Segmentation Quality
Medical image compression using topology-preserving neural networks
Understanding Clinical Mammographic Breast Density Assessment: a Deep Learning Perspective