Alle Papers – KI in der Krebserkennung

Iterative enhancement fusion-based cascaded model for detection and localization of multiple disease from CXR-Images

Introduction to Digital Image Analysis in Whole-slide Imaging: A White Paper from the Digital Pathology Association

Breast cancer screening in women with extremely dense breasts recommendations of the European Society of Breast Imaging (EUSOBI)

Generative Adversarial Networks in Medical Image augmentation: A review

Machine learning techniques for breast cancer computer aided diagnosis using different image modalities: A systematic review

Lymph Node Metastasis Prediction from Primary Breast Cancer US Images Using Deep Learning

Application of deep learning techniques for detection of COVID-19 cases using chest X-ray images: A comprehensive study

DTFD-MIL: Double-Tier Feature Distillation Multiple Instance Learning for Histopathology Whole Slide Image Classification

Whole Slide Imaging Versus Microscopy for Primary Diagnosis in Surgical Pathology

Artificial Intelligence–Based Breast Cancer Nodal Metastasis Detection: Insights Into the Black Box for Pathologists

Deep and machine learning techniques for medical imaging-based breast cancer: A comprehensive review

Thyroid Nodule Classification in Ultrasound Images by Fine-Tuning Deep Convolutional Neural Network

DCSAU-Net: A deeper and more compact split-attention U-Net for medical image segmentation

Chest pathology detection using deep learning with non-medical training

Deep learning with multimodal representation for pancancer prognosis prediction

Convolutional neural networks for medical image analysis: State-of-the-art, comparisons, improvement and perspectives

Improve Computer-Aided Diagnosis With Machine Learning Techniques Using Undiagnosed Samples

Disc-Aware Ensemble Network for Glaucoma Screening From Fundus Image

A Practical Guide to Whole Slide Imaging: A White Paper From the Digital Pathology Association

The Application of Deep Learning in Cancer Prognosis Prediction

Computer-aided detection of breast cancer on mammograms: A swarm intelligence optimized wavelet neural network approach

Histology image analysis for carcinoma detection and grading

Artificial intelligence in oncology

Interaction in the segmentation of medical images: A survey

Human-Centered Tools for Coping with Imperfect Algorithms During Medical Decision-Making