Alle Papers – KI in der Krebserkennung

A Bayesian approach to dynamic contours through stochastic sampling and simulated annealing

Using multi-layer perceptron with Laplacian edge detector for bladder cancer diagnosis

Volumetric breast density affects performance of digital screening mammography

AI-based analysis of oral lesions using novel deep convolutional neural networks for early detection of oral cancer

MSU-Net: Multi-Scale U-Net for 2D Medical Image Segmentation

Hyperspectral and multispectral imaging in digital and computational pathology: a systematic review [Invited]

Ultrasound Image Segmentation: A Deeply Supervised Network With Attention to Boundaries

Comparison of Quantification of Histochemical Staining By Hue-Saturation-Intensity (HSI) Transformation and Color-Deconvolution

SMU-Net: Saliency-Guided Morphology-Aware U-Net for Breast Lesion Segmentation in Ultrasound Image

Deep Learning and Structured Prediction for the Segmentation of Mass in Mammograms

Particle swarm optimization for bandwidth determination and feature selection of kernel density estimation based classifiers in diagnosis of breast cancer

Computer-aided evaluation of neuroblastoma on whole-slide histology images: Classifying grade of neuroblastic differentiation

Melanoma Classification Using a Novel Deep Convolutional Neural Network with Dermoscopic Images

Lung Cancer Detection on CT Images by Using Image Processing

Fully automatic and robust segmentation of the clinical target volume for radiotherapy of breast cancer using big data and deep learning

A Deep Learning Method for Breast Cancer Classification in the Pathology Images

Extracting comprehensive clinical information for breast cancer using deep learning methods

Rapid histology of laryngeal squamous cell carcinoma with deep-learning based stimulated Raman scattering microscopy

Volume of Mammographic Density and Risk of Breast Cancer

Comparing Three-class Diagnostic Tests by Three-way ROC Analysis

Iterative image transformations for an automatic screening of cervical smears.

Deep learning for diagnosis of COVID-19 using 3D CT scans

Evaluation of Three Algorithms for the Segmentation of Overlapping Cervical Cells

High definition colonoscopy combined with <i>i</i> -Scan is superior in the detection of colorectal neoplasias compared with standard video colonoscopy: a prospective randomized controlled trial

Breast Cancer Diagnosis by Convolutional Neural Network and Advanced Thermal Exchange Optimization Algorithm