Alle Papers – KI in der Krebserkennung
165.076 Papers insgesamt · Seite 1 von 400
A survey on deep learning in medical image analysis
Dermatologist-level classification of skin cancer with deep neural networks
A survey on Image Data Augmentation for Deep Learning
QuPath: Open source software for digital pathology image analysis
Radiomics: Images Are More than Pictures, They Are Data
Unified segmentation
A method of comparing the areas under receiver operating characteristic curves derived from the same cases.
The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)
ImageJ2: ImageJ for the next generation of scientific image data
Radiomics: Extracting more information from medical images using advanced feature analysis
Supervised Risk Predictor of Breast Cancer Based on Intrinsic Subtypes
Deep Learning in Medical Image Analysis
Convolutional neural networks: an overview and application in radiology
Convolutional networks for images, speech, and time series
Medical image analysis: progress over two decades and the challenges ahead
The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping
Artificial intelligence in radiology
ilastik: interactive machine learning for (bio)image analysis
How To Build and Interpret a Nomogram for Cancer Prognosis
Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer
Machine learning applications in cancer prognosis and prediction
beta-VAE: Learning Basic Visual Concepts with a Constrained Variational Framework
Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?
International evaluation of an AI system for breast cancer screening
The HAM10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions