Alle Papers – KI in der Krebserkennung
171.921 Papers insgesamt · Seite 102 von 400
Selection of diagnostic features on breast MRI to differentiate between malignant and benign lesions using computer-aided diagnosis: differences in lesions presenting as mass and non-mass-like enhancement
TTCNN: A Breast Cancer Detection and Classification towards Computer-Aided Diagnosis Using Digital Mammography in Early Stages
From CNN to Transformer: A Review of Medical Image Segmentation Models
Leukemia Blood Cell Image Classification Using Convolutional Neural Network
Demystifying Supervised Learning in Healthcare 4.0: A New Reality of Transforming Diagnostic Medicine
Learning and Incorporating Shape Models for Semantic Segmentation
Cytoplasm and nucleus segmentation in cervical smear images using Radiating GVF Snake
Evaluation and benchmark for biological image segmentation
Development and Assessment of an Artificial Intelligence–Based Tool for Skin Condition Diagnosis by Primary Care Physicians and Nurse Practitioners in Teledermatology Practices
Federated machine learning in healthcare: A systematic review on clinical applications and technical architecture
Texture feature based classification on microscopic blood smear for acute lymphoblastic leukemia detection
Proceedings of International Conference on Image Processing
Nuclear texture measurements in image cytometry.
A fuzzy-enhanced deep learning approach for early detection of Covid-19 pneumonia from portable chest X-ray images
Predicting the outcome of prostate biopsy in screen-positive men by a multilayer perceptron network
Digital breast tomosynthesis (DBT): initial experience in a clinical setting
Artificial intelligence in gynecologic cancers: Current status and future challenges – A systematic review
Comparing supervised and semi-supervised Machine Learning Models on Diagnosing Breast Cancer
Diagnostic utility of alarm features for colorectal cancer: systematic review and meta-analysis
Artificial Intelligence and Machine Learning in Prostate Cancer Patient Management—Current Trends and Future Perspectives
Classifying mammographic lesions using computerized image analysis
Going deeper through the Gleason scoring scale: An automatic end-to-end system for histology prostate grading and cribriform pattern detection
Computer-Aided Kidney Segmentation on Abdominal CT Images
Machine learning approaches for pathologic diagnosis
Deep learning-based six-type classifier for lung cancer and mimics from histopathological whole slide images: a retrospective study