Alle Papers – KI in der Krebserkennung

Non-Mass Breast Lesions on Ultrasound: Feature Exploration and Multimode Ultrasonic Diagnosis

Independent validation of machine learning in diagnosing breast Cancer on magnetic resonance imaging within a single institution

Evaluation of Commonly Used Algorithms for Thyroid Ultrasound Images Segmentation and Improvement Using Machine Learning Approaches

Evaluation of artificial intelligence model for crowding categorization and extraction diagnosis using intraoral photographs

Biological interpretation of morphological patterns in histopathological whole-slide images

Prediction and Classification of Alzheimer’s Disease using Machine Learning Techniques in 3D MR Images

Augmented cell-graphs for automated cancer diagnosis

Mammographic findings after stereotactic 14-gauge vacuum biopsy.

U-ReSNet: Ultimate Coupling of Registration and Segmentation with Deep Nets

Improving the Prediction of Survival in Cancer Patients by Using Machine Learning Techniques: Experience of Gene Expression Data: A Narrative Review.

A Review on Automated Cancer Detection in Medical Images using Machine Learning and Deep Learning based Computational Techniques: Challenges and Opportunities

Deep learning and artificial intelligence in dental diagnostic imaging

DeepSurvNet: deep survival convolutional network for brain cancer survival rate classification based on histopathological images

Classification of malignant and benign tissue with logistic regression

Sliding Window Based Support Vector Machine System for Classification of Breast Cancer Using Histopathological Microscopic Images

Hidden Variables in Deep Learning Digital Pathology and Their Potential to Cause Batch Effects: Prediction Model Study

Moddicom: a complete and easily accessible library for prognostic evaluations relying on image features

Machine learning in orthodontics: Challenges and perspectives

Integrating pathomics with radiomics and genomics for cancer prognosis: A brief review

Automatic Microcalcification Detection in Multi-vendor Mammography Using Convolutional Neural Networks

Breast image feature learning with adaptive deconvolutional networks

Prediction and interpretation of cancer survival using graph convolution neural networks

A boosting method for maximizing the partial area under the ROC curve

Attributed Relational Graphs for Cell Nucleus Segmentation in Fluorescence Microscopy Images

[Retracted] Detection of Breast Cancer Using Histopathological Image Classification Dataset with Deep Learning Techniques