Alle Papers – KI in der Krebserkennung

Early detection of skin cancer using deep learning architectures: resnet-101 and inception-v3

Deep co-training for semi-supervised image segmentation

Automated classification of brain tumor type in whole-slide digital pathology images using local representative tiles

Shape-based interpolation of multidimensional grey-level images

Segmenting Clustered Nuclei Using H-minima Transform-Based Marker Extraction and Contour Parameterization

A Systematic Review of Artificial Intelligence Techniques in Cancer Prediction and Diagnosis

Automatic detection and classification of leukocytes using convolutional neural networks

Screening Mammograms: Interpretation with Computer-aided Detection—Prospective Evaluation

Global guidance network for breast lesion segmentation in ultrasound images

Automatic Classification for Pathological Prostate Images Based on Fractal Analysis

Artificial neural networks applied to outcome prediction for colorectal cancer patients in separate institutions

Automatic differentiation of melanoma from melanocytic nevi with multispectral digital dermoscopy: A feasibility study

Automatic categorization of medical images for content-based retrieval and data mining

Statistical considerations for enumeration of circulating tumor cells

A Basal Epithelial Phenotype Is More Frequent in Interval Breast Cancers Compared with Screen Detected Tumors

Assessment of Accuracy of an Artificial Intelligence Algorithm to Detect Melanoma in Images of Skin Lesions

Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning

Multi-scale Domain-adversarial Multiple-instance CNN for Cancer Subtype Classification with Unannotated Histopathological Images

Latent Representation Learning for Alzheimer’s Disease Diagnosis With Incomplete Multi-Modality Neuroimaging and Genetic Data

A Graph-Transformer for Whole Slide Image Classification

A computer-aided diagnosis system for digital mammograms based on fuzzy-neural and feature extraction techniques

Deep learning based multimodal biomedical data fusion: An overview and comparative review

Segmentation of white blood cells and comparison of cell morphology by linear and naïve Bayes classifiers

Using deep convolutional neural networks to identify and classify tumor-associated stroma in diagnostic breast biopsies

A Comparative Analysis of Breast Cancer Detection and Diagnosis Using Data Visualization and Machine Learning Applications