Alle Papers – KI in der Krebserkennung

Improving the performance of CNN to predict the likelihood of COVID-19 using chest X-ray images with preprocessing algorithms

Review of the current state of whole slide imaging in pathology

Lesion border detection in dermoscopy images

Detection of tumors on brain MRI images using the hybrid convolutional neural network architecture

Cancer Diagnosis Using Deep Learning: A Bibliographic Review

Unsupervised Bidirectional Cross-Modality Adaptation via Deeply Synergistic Image and Feature Alignment for Medical Image Segmentation

Prediction of clinical outcome with microarray data: a partial least squares discriminant analysis (PLS-DA) approach.

Rotation Equivariant CNNs for Digital Pathology

Skin lesion classification with ensembles of deep convolutional neural networks

Diagnosis of thyroid cancer using deep convolutional neural network models applied to sonographic images: a retrospective, multicohort, diagnostic study

Uncertainty quantification using Bayesian neural networks in classification: Application to biomedical image segmentation

Expert measurement and mechanical combination

Using Deep Learning for Classification of Lung Nodules on Computed Tomography Images

Emerging role of deep learning‐based artificial intelligence in tumor pathology

A New 2.5D Representation for Lymph Node Detection using Random Sets of Deep Convolutional Neural Network Observations

Residual and plain convolutional neural networks for 3D brain MRI classification

Pathologists’ diagnosis of invasive melanoma and melanocytic proliferations: observer accuracy and reproducibility study

Radiomics in Brain Tumor: Image Assessment, Quantitative Feature Descriptors, and Machine-Learning Approaches

Bilateral Contrast-enhanced Dual-Energy Digital Mammography: Feasibility and Comparison with Conventional Digital Mammography and MR Imaging in Women with Known Breast Carcinoma

Nuclei Segmentation Using Marker-Controlled Watershed, Tracking Using Mean-Shift, and Kalman Filter in Time-Lapse Microscopy

The future of early cancer detection

Comparison of Tomosynthesis Plus Digital Mammography and Digital Mammography Alone for Breast Cancer Screening

The Relationship of Mammographic Density and Age: Implications for Breast Cancer Screening

Deep neural network with generative adversarial networks pre-training for brain tumor classification based on MR images

Adam Optimization Algorithmfor Wide and Deep Neural Network