Alle Papers – KI in der Krebserkennung

Radiographers as film readers in screening mammography: an assessment of competence under test and screening conditions

Mobile-based oral cancer classification for point-of-care screening

Use of Normal Tissue Context in Computer-Aided Detection of Masses in Mammograms

A Petri Dish for Histopathology Image Analysis

Radiomics nomogram of contrast-enhanced spectral mammography for prediction of axillary lymph node metastasis in breast cancer: a multicenter study

Unified Preprocessing and Enhancement Technique for Mammogram Images

Deep Learning for Diagnostic Binary Classification of Multiple-Lesion Skin Diseases

Accuracy and Cost of Needle Localization Breast Biopsy

Automatic Lymph Node Cluster Segmentation Using Holistically-Nested Neural Networks and Structured Optimization in CT Images

Relationship between mammographic and histologic features of breast tissue in women with benign biopsies

Barcode annotations for medical image retrieval: A preliminary investigation

Efficacy of a computer-aided detection system in a fecal immunochemical test-based organized colorectal cancer screening program: a randomized controlled trial (AIFIT study)

A Bayesian network for mammography.

Breast Cancer Prediction and the Wolfe Classification of Mammograms

Integrate domain knowledge in training multi-task cascade deep learning model for benign–malignant thyroid nodule classification on ultrasound images

ICSDA: a multi-modal deep learning model to predict breast cancer recurrence and metastasis risk by integrating pathological, clinical and gene expression data

A Skin Lesion Segmentation Method for Dermoscopic Images Based on Adaptive Thresholding with Normalization of Color Models

Cross-task extreme learning machine for breast cancer image classification with deep convolutional features

A Deep Learning Approach for Histology-Based Nucleus Segmentation and Tumor Microenvironment Characterization

Classification of Endomicroscopic Images of the Lung Based on Random Subwindows and Extra-Trees

Computer-assisted diagnosis: the classification of mammographic breast parenchymal patterns.

Neuropathologist-level integrated classification of adult-type diffuse gliomas using deep learning from whole-slide pathological images

Automatic Classification and Segmentation of Brain Tumor in CT Images using Optimal Dominant Gray level Run length Texture Features

Affordable artificial intelligence-based digital pathology for neglected tropical diseases: A proof-of-concept for the detection of soil-transmitted helminths and Schistosoma mansoni eggs in Kato-Katz stool thick smears

Contour-aware semantic segmentation network with spatial attention mechanism for medical image