Alle Papers – KI in der Krebserkennung

Development and validation of a radiopathomic model for predicting pathologic complete response to neoadjuvant chemotherapy in breast cancer patients

Lessons Learned from Designing an AI-Enabled Diagnosis Tool for Pathologists

Diagnostic pitfalls in the cytological interpretation of breast cancer

Multi-level nested pyramid network for mass segmentation in mammograms

A robust automatic nuclei segmentation technique for quantitative histopathological image analysis.

An optimized ensemble model based on meta-heuristic algorithms for effective detection and classification of breast tumors

CovFrameNet: An Enhanced Deep Learning Framework for COVID-19 Detection

Artificial intelligence: its applications in reproductive medicine and the assisted reproductive technologies

Evolving convolutional neural network parameters through the genetic algorithm for the breast cancer classification problem

Response monitoring of breast cancer patients receiving neoadjuvant chemotherapy using quantitative ultrasound, texture, and molecular features

Pancreatic Tumor Growth Prediction With Elastic-Growth Decomposition, Image-Derived Motion, and FDM-FEM Coupling

Semi-supervised medical image segmentation via hard positives oriented contrastive learning

A Survey on Computer-Aided Diagnosis of Brain Disorders through MRI Based on Machine Learning and Data Mining Methodologies with an Emphasis on Alzheimer Disease Diagnosis and the Contribution of the Multimodal Fusion

Deep learning-based apical lesion segmentation from panoramic radiographs

A Fully Automated Deep Learning-based Network For Detecting COVID-19 from a New And Large Lung CT Scan Dataset

A medical assistant segmentation method for MRI images of osteosarcoma based on DecoupleSegNet

Digital Breast Tomosynthesis Practice Patterns Following 2011 FDA Approval

Effects of Changes in BI-RADS Density Assessment Guidelines (Fourth Versus Fifth Edition) on Breast Density Assessment: Intra- and Interreader Agreements and Density Distribution

Performance Evaluation in Machine Learning

Multilevel analysis of spatiotemporal association features for differentiation of tumor enhancement patterns in breast DCE‐MRI

Performance Evaluation of the NASNet Convolutional Network in the Automatic Identification of COVID-19

Deep learning in breast radiology: current progress and future directions

Statistical Analysis of Textural Features for Improved Classification of Oral Histopathological Images

A genetic algorithm to select variables in logistic regression: example in the domain of myocardial infarction.

Mapping the landscape of histomorphological cancer phenotypes using self-supervised learning on unannotated pathology slides