Alle Papers – KI in der Krebserkennung

Cancer Mortality Pattern in Lagos University Teaching Hospital, Lagos, Nigeria

Deep learning for multi-class semantic segmentation enables colorectal cancer detection and classification in digital pathology images

Bilateral analysis based false positive reduction for computer‐aided mass detection

Synergic Deep Learning for Smart Health Diagnosis of COVID-19 for Connected Living and Smart Cities

Deep learning for automatic cell detection in wide-field microscopy zebrafish images

VGG16 Feature Extractor with Extreme Gradient Boost Classifier for Pancreas Cancer Prediction

Telepathology comes of age in Norway

Cell Detection and Segmentation Using Correlation Clustering

Solving the multicollinearity problem to improve the stability of machine learning algorithms applied to a fully annotated breast cancer dataset

Predicting the Survival of Cancer Patients With Multimodal Graph Neural Network

Clinical experience of photon counting breast tomosynthesis: comparison with traditional mammography

Association Between Melanoma Detected During Routine Skin Checks and Mortality

Women’s perceptions and attitudes to the use of AI in breast cancer screening: a survey in a cancer referral centre

Deep Learning Ensemble Methods for Skin Lesion Analysis towards Melanoma Detection

A multi-stage neural network aided system for detection of microcalcifications in digitized mammograms

A Pneumonia Diagnosis Scheme Based on Hybrid Features Extracted from Chest Radiographs Using an Ensemble Learning Algorithm

A deep-learning approach for segmentation of liver tumors in magnetic resonance imaging using UNet++

Testing the Effect of Computer-Assisted Detection on Interpretive Performance in Screening Mammography

Partial Logistic Artificial Neural Network for Competing Risks Regularized With Automatic Relevance Determination

Neural networks model based on an automated multi-scale method for mammogram classification

A novel automatic microcalcification detection technique using Tsallis entropy & a type II fuzzy index

hist2RNA: An Efficient Deep Learning Architecture to Predict Gene Expression from Breast Cancer Histopathology Images

A prospective trial of telepathology for intraoperative consultation (frozen sections)

A breast cancer risk predication and classification model with ensemble learning and big data fusion

Skin lesion computational diagnosis of dermoscopic images: Ensemble models based on input feature manipulation