Alle Papers – KI in der Krebserkennung
168.271 Papers insgesamt · Seite 351 von 400
A risk prediction model for the development of subsequent primary melanoma in a population‐based cohort
Use of artificial intelligence improves colonoscopy performance in adenoma detection: a systematic review and meta-analysis
COVID-19 diagnosis and severity detection from CT-images using transfer learning and back propagation neural network
Confocal fluorescence microscopy for rapid evaluation of invasive tumor cellularity of inflammatory breast carcinoma core needle biopsies
The potential use of big data in oncology
A deep learning-based COVID-19 automatic diagnostic framework using chest X-ray images
CAVASS: A Computer-Assisted Visualization and Analysis Software System
Neural Network-Based Automatic Liver Tumor Segmentation With Random Forest-Based Candidate Filtering
Content-Based Image Retrieval System for Pulmonary Nodules: Assisting Radiologists in Self-Learning and Diagnosis of Lung Cancer
Automated Detection of Acute Leukemia Using K-mean Clustering Algorithm
A role of three-dimensional (3D)-reconstruction in the classification of lung adenocarcinoma.
A machine learning algorithm for simulating immunohistochemistry: development of SOX10 virtual IHC and evaluation on primarily melanocytic neoplasms
Texture classification using nonlinear color quantization: Application to histopathological image analysis
Nucleus and cytoplasm segmentation in microscopic images using K-means clustering and region growing
A Deep-Ensemble-Learning-Based Approach for Skin Cancer Diagnosis
Image-guided sampling reveals increased stroma and lower glandular complexity in mammographically dense breast tissue
Radiologists’ performance in the detection of benign and malignant masses with 3D automated breast ultrasound (ABUS)
Artificial Neural Networks in Cancer Diagnosis, Prognosis, and Patient Management
Learn like a Pathologist: Curriculum Learning by Annotator Agreement for Histopathology Image Classification
A Survival Guide for the Rapid Transition to a Fully Digital Workflow: The “Caltagirone Example”
iDoc-X: An artificial intelligence model for tuberculosis diagnosis and localization
PathoNet introduced as a deep neural network backend for evaluation of Ki-67 and tumor-infiltrating lymphocytes in breast cancer
GAN-Based Approaches for Generating Structured Data in the Medical Domain
Review on Techniques and Steps of Computer Aided Skin Cancer Diagnosis
Feasibility of deep learning for predicting live birth from a blastocyst image in patients classified by age