Alle Papers – KI in der Krebserkennung

Detection of Coronavirus Disease (COVID-19) Based on Deep Features

Computer-Aided Diagnosis with Deep Learning Architecture: Applications to Breast Lesions in US Images and Pulmonary Nodules in CT Scans

Predicting cancer outcomes with radiomics and artificial intelligence in radiology

Introduction to artificial intelligence in medicine

Medical image segmentation using deep learning: A survey

Dual-stream Multiple Instance Learning Network for Whole Slide Image Classification with Self-supervised Contrastive Learning

Near real-time intraoperative brain tumor diagnosis using stimulated Raman histology and deep neural networks

Contrast Limited Adaptive Histogram Equalization image processing to improve the detection of simulated spiculations in dense mammograms

What Is Machine Learning?

Deep learning in medical imaging and radiation therapy

Training neural network classifiers for medical decision making: The effects of imbalanced datasets on classification performance

A Novel Transfer Learning Based Approach for Pneumonia Detection in Chest X-ray Images

Automated breast cancer detection and classification using ultrasound images: A survey

Deep Learning-based Detection for COVID-19 from Chest CT using Weak Label

Multi-Classification of Brain Tumor Images Using Deep Neural Network

Classification of Skin Disease Using Deep Learning Neural Networks with MobileNet V2 and LSTM

Deep Learning Localizes and Identifies Polyps in Real Time With 96% Accuracy in Screening Colonoscopy

Artificial Intelligence in Cancer Research and Precision Medicine

3D reconstruction of histological sections: Application to mammary gland tissue

A Deep Learning Mammography-based Model for Improved Breast Cancer Risk Prediction

Diagnostic Concordance Among Pathologists Interpreting Breast Biopsy Specimens

A prediction-based resampling method for estimating the number of clusters in a dataset

Deep Learning in Medical Image Analysis

Classification of the Clinical Images for Benign and Malignant Cutaneous Tumors Using a Deep Learning Algorithm

Deep neural network models for computational histopathology: A survey