Alle Papers – KI in der Krebserkennung
168.271 Papers insgesamt · Seite 356 von 400
Image biomarkers and explainable AI: handcrafted features versus deep learned features
2.5D lightweight RIU-Net for automatic liver and tumor segmentation from CT
Deep Learning in Healthcare
The final frontier in cancer diagnosis
Differentiation of supratentorial single brain metastasis and glioblastoma by using peri-enhancing oedema region–derived radiomic features and multiple classifiers
Accuracy and Effectiveness of Mammography versus Mammography and Tomosynthesis for Population-Based Breast Cancer Screening: A Systematic Review and Meta-Analysis
Artificial Intelligence-Based Breast Cancer Diagnosis Using Ultrasound Images and Grid-Based Deep Feature Generator
Classifying symmetrical differences and temporal change for the detection of malignant masses in mammography using deep neural networks
Robustness of convolutional neural networks in recognition of pigmented skin lesions
Free-form tumor synthesis in computed tomography images via richer generative adversarial network
Performance of a dermoscopy-based computer vision system for the diagnosis of pigmented skin lesions compared with visual evaluation by experienced dermatologists
The impact of subspecialization and dermatoscopy use on accuracy of melanoma diagnosis among primary care doctors in Australia
COVID-19 detection from chest X-Ray images using Deep Learning and Convolutional Neural Networks
Hybrid Graph Convolutional Network With Online Masked Autoencoder for Robust Multimodal Cancer Survival Prediction
Measuring mammographic density: comparing a fully automated volumetric assessment versus European radiologists’ qualitative classification
Automated grading of prostate cancer using convolutional neural network and ordinal class classifier
Preoperative prediction of axillary sentinel lymph node burden with multiparametric MRI-based radiomics nomogram in early-stage breast cancer
Applications of discriminative and deep learning feature extraction methods for whole slide image analysis: A survey
Ensemble-based multi-tissue classification approach of colorectal cancer histology images using a novel hybrid deep learning framework
Assessing tumor extent on contrast-enhanced spectral mammography versus full-field digital mammography and ultrasound
The Evolving Role of Vacuum Assisted Biopsy of the Breast: A Progression from Fine‐Needle Aspiration Biopsy
A comparative study of computer-aided classification systems for focal hepatic lesions from B-mode ultrasound
Evolution of Quality Assurance for Clinical Immunohistochemistry in the Era of Precision Medicine: Part 1: Fit-for-Purpose Approach to Classification of Clinical Immunohistochemistry Biomarkers
Patient and physician delay in melanoma diagnosis
Atlas of Digital Pathology: A Generalized Hierarchical Histological Tissue Type-Annotated Database for Deep Learning