Alle Papers – KI in der Krebserkennung
172.746 Papers insgesamt · Seite 85 von 400
A guide to artificial intelligence for cancer researchers
The Impact of Multimodal Large Language Models on Health Care’s Future
Classification of benign and malignant subtypes of breast cancer histopathology imaging using hybrid CNN-LSTM based transfer learning
An intelligent driven deep residual learning framework for brain tumor classification using MRI images
Computer-aided diagnosis of lung nodule classification between benign nodule, primary lung cancer, and metastatic lung cancer at different image size using deep convolutional neural network with transfer learning
Comprehensive Cytopathology
Hierarchical Convolutional Neural Networks for Segmentation of Breast Tumors in MRI With Application to Radiogenomics
The Diagnostic Concordance of Whole Slide Imaging and Light Microscopy: A Systematic Review
Skin Lesion Classification Using CNNs With Patch-Based Attention and Diagnosis-Guided Loss Weighting
Calcifications in the Breast and Digital Breast Tomosynthesis
Transfer Learning in Breast Cancer Diagnoses via Ultrasound Imaging
Artificial intelligence—the third revolution in pathology
Automatic identification of gray matter structures from MRI to improve the segmentation of white matter lesions
Applied machine learning and artificial intelligence in rheumatology
Type 2 diabetes data classification using stacked autoencoders in deep neural networks
Mammographic Image Analysis Society (MIAS) database v1.21
Machine learning in oral squamous cell carcinoma: Current status, clinical concerns and prospects for future—A systematic review
Accurate diagnosis of colorectal cancer based on histopathology images using artificial intelligence
Optimizing filtered backprojection reconstruction for a breast tomosynthesis prototype device
Deep learning to find colorectal polyps in colonoscopy: A systematic literature review
Development of ultrasound tomography for breast imaging: Technical assessment
Computer-aided detection of COVID-19 from X-ray images using multi-CNN and Bayesnet classifier
Medical Image Understanding Technology
Detection of breast cancer on digital histopathology images: Present status and future possibilities
Three-Class Mammogram Classification Based on Descriptive CNN Features