Alle Papers – KI in der Krebserkennung
169.543 Papers insgesamt · Seite 45 von 400
A review of artifacts in histopathology
Test–Retest Reproducibility Analysis of Lung CT Image Features
A Comparison of Machine Learning Methods for the Diagnosis of Pigmented Skin Lesions
Automatic detection of COVID-19 infection using chest X-ray images through transfer learning
Mammographic density is related to stroma and stromal proteoglycan expression
A physics-based coordinate transformation for 3-D image matching
Automated Classification of Lung Cancer Types from Cytological Images Using Deep Convolutional Neural Networks
Artificial intelligence in lung cancer diagnosis and prognosis: Current application and future perspective
A pre-trained convolutional neural network based method for thyroid nodule diagnosis
Evolutionary undersampling boosting for imbalanced classification of breast cancer malignancy
Evaluating forgetting curves.
Detection and Classification of Calcifications on Digital Breast Tomosynthesis and 2D Digital Mammography: A Comparison
Automatic detection of subsolid pulmonary nodules in thoracic computed tomography images
BreastNet: A novel convolutional neural network model through histopathological images for the diagnosis of breast cancer
Prior-Attention Residual Learning for More Discriminative COVID-19 Screening in CT Images
A deep learning method for classifying mammographic breast density categories
The impact of site-specific digital histology signatures on deep learning model accuracy and bias
Deep Learning vs. Radiomics for Predicting Axillary Lymph Node Metastasis of Breast Cancer Using Ultrasound Images: Don't Forget the Peritumoral Region
Cancer Diagnosis: From Tumor to Liquid Biopsy and Beyond
Fully automatic anatomical, pathological, and functional segmentation from CT scans for hepatic surgery
A Stochastic Polygons Model for Glandular Structures in Colon Histology Images
Automated Grading of Gliomas using Deep Learning in Digital Pathology Images: A modular approach with ensemble of convolutional neural networks.
MedNeXt: Transformer-Driven Scaling of ConvNets for Medical Image Segmentation
Artificial intelligence (AI) in medicine, current applications and future role with special emphasis on its potential and promise in pathology: present and future impact, obstacles including costs and acceptance among pathologists, practical and philosophical considerations. A comprehensive review
Mitosis Detection in Breast Cancer Histology Images via Deep Cascaded Networks