Alle Papers – KI in der Krebserkennung

Comparison of multiwavelet, wavelet, Haralick, and shape features for microcalcification classification in mammograms

High-accuracy prostate cancer pathology using deep learning

Deep Learning for Breast Cancer Diagnosis from Mammograms—A Comparative Study

Development and evaluation of deep learning–based segmentation of histologic structures in the kidney cortex with multiple histologic stains

Histopathology Image Classification Using Bag of Features and Kernel Functions

Predicting Lymph Node Metastasis Using Histopathological Images Based on Multiple Instance Learning With Deep Graph Convolution

Enhancement of Mammographic Features by Optimal Adaptive Neighborhood Image Processing

A Novel Deep Learning Based Multi-class Classification Method for Alzheimer’s Disease Detection Using Brain MRI Data

Synthetic Vasculature Datsets

The importance of stain normalization in colorectal tissue classification with convolutional networks

Artificial Intelligence in the Diagnosis of Oral Diseases: Applications and Pitfalls

YOLO Based Breast Masses Detection and Classification in Full-Field Digital Mammograms

Adding 3D automated breast ultrasound to mammography screening in women with heterogeneously and extremely dense breasts: Report from a hospital-based, high-volume, single-center breast cancer screening program

An Efficient Deep Learning-Based Skin Cancer Classifier for an Imbalanced Dataset

Deep convolutional activation features for large scale Brain Tumor histopathology image classification and segmentation

Screening Outcomes Following Implementation of Digital Breast Tomosynthesis in a General-Population Screening Program

The TOMMY trial: a comparison of TOMosynthesis with digital MammographY in the UK NHS Breast Screening Programme – a multicentre retrospective reading study comparing the diagnostic performance of digital breast tomosynthesis and digital mammography with digital mammography alone

Application of Feature Extraction and Classification Methods for Histopathological Image using GLCM, LBP, LBGLCM, GLRLM and SFTA

Epigenetic variability in cells of normal cytology is associated with the risk of future morphological transformation

Attention-Based Deep Neural Networks for Detection of Cancerous and Precancerous Esophagus Tissue on Histopathological Slides

RetCCL: Clustering-guided contrastive learning for whole-slide image retrieval

CIA-Net: Robust Nuclei Instance Segmentation with Contour-Aware Information Aggregation

External validation of a convolutional neural network artificial intelligence tool to predict malignancy in pulmonary nodules

Virtual colonoscopy using oral contrast compared with colonoscopy for the detection of patients with colorectal polyps

Automated detection and classification of thyroid nodules in ultrasound images using clinical-knowledge-guided convolutional neural networks