Alle Papers – KI in der Krebserkennung
168.271 Papers insgesamt · Seite 349 von 400
Group sparse autoencoder
Improving prognostic performance in resectable pancreatic ductal adenocarcinoma using radiomics and deep learning features fusion in CT images
Impact of adding breast density to breast cancer risk models: A systematic review
RETRACTED ARTICLE: A combined microfluidic deep learning approach for lung cancer cell high throughput screening toward automatic cancer screening applications
A deep convolutional neural network-based pigmented skin lesion classification application and experts evaluation
AI-MIA: COVID-19 Detection and Severity Analysis Through Medical Imaging
Anomaly detection through latent space restoration using vector-quantized variational autoencoders
End-To-End Alzheimer’s Disease Diagnosis and Biomarker Identification
Ensemble based system for whole-slide prostate cancer probability mapping using color texture features
The K-loop molar distalizing appliance.
Thyroid Nodule Ultrasound Image Classification Through Hybrid Feature Cropping Network
Analysis of blood samples for counting leukemia cells using Support vector machine and nearest neighbour
Overcoming the challenges to implementation of artificial intelligence in pathology
Deep learning LI-RADS grading system based on contrast enhanced multiphase MRI for differentiation between LR-3 and LR-4/LR-5 liver tumors
Interactive digital slides with heat maps: a novel method to improve the reproducibility of Gleason grading
An extended approach to the diagnosis of tumour location in breast cancer using deep learning
Identification of Colon Cancer Using Multi-Scale Feature Fusion Convolutional Neural Network Based on Shearlet Transform
Fluorescence imaging and Raman spectroscopy applied for the accurate diagnosis of breast cancer with deep learning algorithms
Improving Performance of Breast Lesion Classification Using a ResNet50 Model Optimized with a Novel Attention Mechanism
Early Prevention and Detection of Skin Cancer Risk using Data Mining
Computer-Aided Diagnosis of Masses with Full-Field Digital Mammography
An imageomics and multi-network based deep learning model for risk assessment of liver transplantation for hepatocellular cancer
IntOPMICM: Intelligent Medical Image Size Reduction Model
A Review Paper on Breast Cancer Detection Using Deep Learning
Validation of whole slide imaging in the primary diagnosis of gynaecological pathology in a University Hospital