Alle Papers – KI in der Krebserkennung

Automatic histologically-closer classification of skin lesions

Targeted transfer learning to improve performance in small medical physics datasets

Contrast-enhanced spectral mammography: Impact of the qualitative morphology descriptors on the diagnosis of breast lesions

Comparison of thyroid segmentation techniques for 3D ultrasound

Medical Image Analysis using Deep Convolutional Neural Networks: CNN Architectures and Transfer Learning

Effect of image transformation on EfficientNet model for COVID-19 CT image classification

IMC-Denoise: a content aware denoising pipeline to enhance Imaging Mass Cytometry

Is H&E morphology coming to an end?

HEp-2 Specimen Image Segmentation and Classification Using Very Deep Fully Convolutional Network

Longitudinal association of anthropometry with mammographic breast density in the Study of Women's Health Across the Nation

Deep Bayesian baseline for segmenting diabetic retinopathy lesions: Advances and challenges

Comparative analysis of machine learning approaches to classify tumor mutation burden in lung adenocarcinoma using histopathology images

How Thoroughly Should Needle Localization Breast Biopsies Be Sampled for Microscopic Examination?

Malignant lesion segmentation in contrast‐enhanced breast MR images based on the marker‐controlled watershed

Learning More with Less

Precision in Gynecologic Cytologic Interpretation: A Study From the College of American Pathologists Interlaboratory Comparison Program in Cervicovaginal Cytology

Naive Bayes Classifiers: A Probabilistic Detection Model for Breast Cancer

Are breast patterns a risk index for breast cancer? A reappraisal

Extraction of Finger-Vein Patterns Using Maximum Curvature Points in Image Profiles

DSEU-net: A novel deep supervision SEU-net for medical ultrasound image segmentation

Automatic skin lesion segmentation by coupling deep fully convolutional networks and shallow network with textons

The Value of Total Body Photography for the Early Detection of Melanoma: A Systematic Review

MediMLP: Using Grad-CAM to Extract Crucial Variables for Lung Cancer Postoperative Complication Prediction

Analysis of COVID-19 Infections on a CT Image Using DeepSense Model

Artificial Intelligence in Clinical Oncology: From Data to Digital Pathology and Treatment