Alle Papers – KI in der Krebserkennung

Contrast-enhanced digital mammography

YOLO-LOGO: A transformer-based YOLO segmentation model for breast mass detection and segmentation in digital mammograms

MS-UNet: A multi-scale UNet with feature recalibration approach for automatic liver and tumor segmentation in CT images

Deep reinforcement learning with its application for lung cancer detection in medical Internet of Things

Measurement of Trabecular Bone Thickness in the Limited Resolution Regime of In Vivo MRI by Fuzzy Distance Transform

An investigation of XGBoost-based algorithm for breast cancer classification

Extracting rules from pruned neural networks for breast cancer diagnosis

Computer Diagnosis of Primary Bone Tumors

Automatic segmentation of colon glands using object-graphs

Grading Nuclear Pleomorphism on Histological Micrographs

Assessment of the Optimal Interval for and Sensitivity of Short-term Sequential Digital Dermoscopy Monitoring for the Diagnosis of Melanoma

Deep Learning to Distinguish Recalled but Benign Mammography Images in Breast Cancer Screening

Transfer Learning for Molecular Cancer Classification Using Deep Neural Networks

Fully automatic segmentation of breast ultrasound images based on breast characteristics in space and frequency domains

The detection of changes in mammographic densities.

The Coding of Roentgen Images for Computer Analysis as Applied to Lung Cancer

Deep Learning-Based Gleason Grading of Prostate Cancer From Histopathology Images—Role of Multiscale Decision Aggregation and Data Augmentation

Automatic classification of breast cancer histopathological images based on deep feature fusion and enhanced routing

Automatic Scoring of Multiple Semantic Attributes With Multi-Task Feature Leverage: A Study on Pulmonary Nodules in CT Images

Towards Non-I.I.D. image classification: A dataset and baselines

Biomedical Data Augmentation Using Generative Adversarial Neural Networks

A colorful future of quantitative pathology: validation of Vectra technology using chromogenic multiplexed immunohistochemistry and prostate tissue microarrays

Advanced Meta-Heuristics, Convolutional Neural Networks, and Feature Selectors for Efficient COVID-19 X-Ray Chest Image Classification

DefED-Net: Deformable Encoder-Decoder Network for Liver and Liver Tumor Segmentation

Prospective evaluation of radiologically directed fine-needle aspiration biopsy of nonpalpable breast lesions