Alle Papers – KI in der Krebserkennung

Discrimination of Breast Cancer with Microcalcifications on Mammography by Deep Learning

A Similarity Learning Approach to Content-Based Image Retrieval: Application to Digital Mammography

Automated multi-class classification of skin lesions through deep convolutional neural network with dermoscopic images

A dataset of microscopic peripheral blood cell images for development of automatic recognition systems

A GAN-based image synthesis method for skin lesion classification

A fully automatic AI system for tooth and alveolar bone segmentation from cone-beam CT images

WSISA: Making Survival Prediction from Whole Slide Histopathological Images

Malignant breast masses detected only by ultrasound. A retrospective review

Re: Magnetic Resonance Imaging and Mammography in Women With a Hereditary Risk of Breast Cancer

RIC-Unet: An Improved Neural Network Based on Unet for Nuclei Segmentation in Histology Images

DeepCervix: A deep learning-based framework for the classification of cervical cells using hybrid deep feature fusion techniques

Digital image processing

Performance of one-view breast tomosynthesis as a stand-alone breast cancer screening modality: results from the Malmö Breast Tomosynthesis Screening Trial, a population-based study

An overview of deep learning in the field of dentistry

Combining Convolutional Neural Network With Recursive Neural Network for Blood Cell Image Classification

Recent advancement in cancer detection using machine learning: Systematic survey of decades, comparisons and challenges

Machine learning-based lung and colon cancer detection using deep feature extraction and ensemble learning

Systematic review of artificial intelligence techniques in the detection and classification of COVID-19 medical images in terms of evaluation and benchmarking: Taxonomy analysis, challenges, future solutions and methodological aspects

Dual-energy contrast-enhanced digital mammography: initial clinical results

From Handcrafted to Deep-Learning-Based Cancer Radiomics: Challenges and Opportunities

Machine Learning and AI in Cancer Prognosis, Prediction, and Treatment Selection: A Critical Approach

White blood cells detection and classification based on regional convolutional neural networks

Sipakmed: A New Dataset for Feature and Image Based Classification of Normal and Pathological Cervical Cells in Pap Smear Images

Enhancing deep convolutional neural network scheme for breast cancer diagnosis with unlabeled data

Automated Methods for Detection and Classification Pneumonia Based on X-Ray Images Using Deep Learning