Alle Papers – KI in der Krebserkennung
169.543 Papers insgesamt · Seite 48 von 400
Histotechnology: A Self Instructional Text
The ensemble deep learning model for novel COVID-19 on CT images
Towards clinical application of image mining: a systematic review on artificial intelligence and radiomics
CellViT: Vision Transformers for precise cell segmentation and classification
The Development of a Skin Cancer Classification System for Pigmented Skin Lesions Using Deep Learning
Sentinel Node Tumor Burden According to the Rotterdam Criteria Is the Most Important Prognostic Factor for Survival in Melanoma Patients
Breast MR imaging: interpretation model.
Artificial intelligence in medical imaging of the liver
Generative Adversarial Network for Medical Images (MI-GAN)
Breast mass classification in sonography with transfer learning using a deep convolutional neural network and color conversion
Hybrid convolutional neural networks with SVM classifier for classification of skin cancer
Inception v3 based cervical cell classification combined with artificially extracted features
Computer-Aided Diagnosis of Solid Breast Nodules: Use of an Artificial Neural Network Based on Multiple Sonographic Features
Artificial intelligence in diagnostic pathology
Performance Parameters for Screening and Diagnostic Mammography: Specialist and General Radiologists
Classification of mammogram for early detection of breast cancer using SVM classifier and Hough transform
Synthetic data generation for tabular health records: A systematic review
Melanoma Recognition in Dermoscopy Images via Aggregated Deep Convolutional Features
Computer-Aided Breast Cancer Detection Using Mammograms: A Review
Classification of Melanoma and Nevus in Digital Images for Diagnosis of Skin Cancer
Prediction of Breast Cancer, Comparative Review of Machine Learning Techniques, and Their Analysis
Mammographic density adds accuracy to both the Tyrer-Cuzick and Gail breast cancer risk models in a prospective UK screening cohort
Toward robust mammography-based models for breast cancer risk
Spatial Architecture and Arrangement of Tumor-Infiltrating Lymphocytes for Predicting Likelihood of Recurrence in Early-Stage Non–Small Cell Lung Cancer
The process for continuous improvement of the TNM classification