Alle Papers – KI in der Krebserkennung
168.271 Papers insgesamt · Seite 337 von 400
BO-ALLCNN: Bayesian-Based Optimized CNN for Acute Lymphoblastic Leukemia Detection in Microscopic Blood Smear Images
Telepathology: frozen section diagnosis at a distance
Deep Learning Techniques for Breast Cancer Detection Using Medical Image Analysis
Discrimination between tumour epithelium and stroma via perception-based features
Artificial Intelligence Enables Quantitative Assessment of Ulcerative Colitis Histology
Clinlabomics: leveraging clinical laboratory data by data mining strategies
Artificial intelligence for medicine: Progress, challenges, and perspectives
Computer‐Aided Diagnostic System for Detection of Hashimoto Thyroiditis on Ultrasound Images From a Polish Population
Artificial Intelligence-Driven Diagnosis of Pancreatic Cancer
Breast Cancer Diagnosis Via Data Mining: Performance Analysis of Seven Different Algorithms
Volumetric Breast Density from Full-Field Digital Mammograms and Its Association with Breast Cancer Risk Factors: A Comparison with a Threshold Method
Society of Toxicologic Pathology Digital Pathology and Image Analysis Special Interest Group Article*: Opinion on the Application of Artificial Intelligence and Machine Learning to Digital Toxicologic Pathology
Determination of mammographic breast density using a deep convolutional neural network
Computer Aided Diagnosis of Thyroid Disease Using Machine Learning Algorithms
Fusing Visual and Clinical Information for Lung Tissue Classification in HRCT Data
Semi-supervised few-shot learning for medical image segmentation
Lung Tissue Classification Using Wavelet Frames
A multi-modal fusion framework based on multi-task correlation learning for cancer prognosis prediction
Artificial intelligence in ovarian cancer histopathology: a systematic review
Mammographic Texture Analysis: An Evaluation Of Risk For Developing Breast Cancer
Radiomics of liver MRI predict metastases in mice
Breast cancer detection based on Gabor-wavelet transform and machine learning methods
A novel approach for liver image classification: PH-C-ELM
Diagnostic Approach for Accurate Diagnosis of COVID-19 Employing Deep Learning and Transfer Learning Techniques through Chest X-ray Images Clinical Data in E-Healthcare
Radiomics and Deep Learning in Nasopharyngeal Carcinoma: A Review