Alle Papers – KI in der Krebserkennung

Handling missing data through deep convolutional neural network

Machine learning for radiomics-based multimodality and multiparametric modeling

Mammographic Breast Density and Subsequent Risk of Breast Cancer in Postmenopausal Women According to the Time Since the Mammogram

Unsupervised Segmentation of Cervical Cell Images Using Gaussian Mixture Model

Diagnosis of cervical precancerous lesions based on multimodal feature changes

A machine learning approach on multiscale texture analysis for breast microcalcification diagnosis

A novel approach for breast cancer detection using optimized ensemble learning framework and XAI

A Comprehensive assessment of Convolutional Neural Networks for skin and oral cancer detection using medical images

Automatic analysis of 3D low dose CT images for early diagnosis of lung cancer

Computer-Aided Segmentation of Liver Lesions in CT Scans Using Cascaded Convolutional Neural Networks and Genetically Optimised Classifier

A Novel Approach of CT Images Feature Analysis and Prediction to Screen for Corona Virus Disease (COVID-19)

Tumor attention networks: Better feature selection, better tumor segmentation

Automatic Diagnosis of Covid-19 Related Pneumonia from CXR and CT-Scan Images

Mammographic Density and Risk of Breast Cancer

SAR Image Quality Assessment

Fog Computing Employed Computer Aided Cancer Classification System Using Deep Neural Network in Internet of Things Based Healthcare System

Improved cancer detection in automated breast ultrasound by radiologists using Computer Aided Detection

Application of Deep Learning in Automated Analysis of Molecular Images in Cancer: A Survey

Automatic evaluation of tumor budding in immunohistochemically stained colorectal carcinomas and correlation to clinical outcome

Structure Prediction for Gland Segmentation With Hand-Crafted and Deep Convolutional Features

Feature extraction in image analysis. A program for facilitating data reduction in medical image classification

Digital breast tomosynthesis versus digital mammography: integration of image modalities enhances deep learning-based breast mass classification

Uncertainty Estimation in Medical Image Classification: Systematic Review

Prediction of non-sentinel node status and outcome in sentinel node-positive melanoma patients

Toward content-based image retrieval with deep convolutional neural networks