Alle Papers – KI in der Krebserkennung

Towards machine learned quality control: A benchmark for sharpness quantification in digital pathology

Image languages in intelligent radiological palm diagnostics

Robust Classification and Detection of Big Medical Data Using Advanced Parallel K-Means Clustering, YOLOv4, and Logistic Regression

Automated cell nucleus segmentation using improved snake

A Comparative Study for Breast Cancer Prediction using Machine Learning and Feature Selection

Reading and decision aids for improved accuracy and standardization of mammographic diagnosis.

Extraction of features from cross correlation in space and frequency domains for classification of skin lesions

The evolving practice pattern of the breast surgeon with disappearance of open biopsy for nonpalpable lesions

Visibility of microcalcification clusters and masses in breast tomosynthesis image volumes and digital mammography: A 4AFC human observer study

What is Healthy? Generative Counterfactual Diffusion for Lesion Localization

Automatic Classification of Cervical Cells Using Deep Learning Method

ABC-SVM: Artificial Bee Colony and SVM Method for Microarray Gene Selection and Multi Class Cancer Classification

Comparison of the Diagnostic Accuracy of a Vacuum-Assisted Percutaneous Intact Specimen Sampling Device to a Vacuum-Assisted Core Needle Sampling Device for Breast Biopsy: Initial Experience

Machine learning for medical images analysis

Telecytology: Intraobserver and interobserver reproducibility in the diagnosis of cervical-vaginal smears

Image processing and computer-aided diagnosis

Artificial intelligence’s impact on breast cancer pathology: a literature review

ESTIMATES OF BREAST CANCER GROWTH RATE FROM MAMMOGRAMS AND ITS RELATION TO TUMOUR CHARACTERISTICS

Analysis on the potential of an EA–surrogate modelling tandem for deep learning parametrization: an example for cancer classification from medical images

Long-bone fracture detection in digital X-ray images based on digital-geometric techniques

Improving digital breast tomosynthesis reading time: A pilot multi-reader, multi-case study using concurrent Computer-Aided Detection (CAD)

Prognosis of prostate cancer by artificial neural networks

Breast Mass Classification in Mammograms using Ensemble Convolutional Neural Networks

Is computer aided detection (CAD) cost effective in screening mammography? A model based on the CADET II study

Microcalcifications in 1657 Patients with Pure Ductal Carcinoma in Situ of the Breast: Correlation with Clinical, Histopathologic, Biologic Features, and Local Recurrence