Alle Papers – KI in der Krebserkennung

The role of technology in melanoma screening and diagnosis

Technical Note: Ontology‐guided radiomics analysis workflow (O‐RAW)

Computer-aided Detection of Masses at Mammography: Interactive Decision Support versus Prompts

Relationship of flow cytometry results to clinical and steroid receptor status in human breast cancer

A new bias field correction method combining N3 and FCM for improved segmentation of breast density on MRI

Longitudinal Evaluation of Interobserver and Intraobserver Agreement of Cervical Intraepithelial Neoplasia Diagnosis Among an Experienced Panel of Gynecologic Pathologists

Identifying Malignant Breast Ultrasound Images Using ViT-Patch

Integration of clinical features and deep learning on pathology for the prediction of breast cancer recurrence assays and risk of recurrence

Contour-enhanced attention CNN for CT-based COVID-19 segmentation

Strengths and Weaknesses of Synthetic Mammography in Screening

Explainable lung cancer classification with ensemble transfer learning of VGG16, Resnet50 and InceptionV3 using grad-cam

DNetUnet: a semi-supervised CNN of medical image segmentation for super-computing AI service

Detection of lung cancer in CT scans using grey wolf optimization algorithm and recurrent neural network

An Ensemble Deep Neural Network Approach for Oral Cancer Screening

Automated detection of leukemia by pretrained deep neural networks and transfer learning: A comparison

Healthcare Data Quality Assessment for Cybersecurity Intelligence

Ensemble of Convolutional Neural Networks to diagnose Acute Lymphoblastic Leukemia from microscopic images

Segmentation of whole breast and fibroglandular tissue using nnU-Net in dynamic contrast enhanced MR images

Systematic review and meta-analysis of prediction models used in cervical cancer

Nucleus segmentation in histology images with hierarchical multilevel thresholding

Evidence based detection of spiculated masses and architectural distortions

New software toolkits for comprehensive visualization and analysis of three-dimensional multimodal biomedical images

Classification of breast cancer mammogram images using convolution neural network

Wide residual networks for mitosis detection

Graph temporal ensembling based semi-supervised convolutional neural network with noisy labels for histopathology image analysis