Alle Papers – KI in der Krebserkennung

Automated Segmentation of the Melanocytes in Skin Histopathological Images

Artificial Intelligence: Review of Current and Future Applications in Medicine

The importance of early detection of calcifications associated with breast cancer in screening

Towards open-set touchless palmprint recognition via weight-based meta metric learning

A randomised clinical trial of loop electrosurgical excision procedure (LEEP) versus cryotherapy in the treatment of cervical intraepithelial neoplasia

Evaluating multimodal AI in medical diagnostics

Imaging features of automated breast volume scanner: Correlation with molecular subtypes of breast cancer

Automatic Detection and Classification of Breast Tumors in Ultrasonic Images Using Texture and Morphological Features

Key concepts, common pitfalls, and best practices in artificial intelligence and machine learning: focus on radiomics

Segmentation of suspicious clustered microcalcifications in mammograms

Machine Learning in Nuclear Medicine: Part 1—Introduction

Assessment of combined textural and morphological features for diagnosis of breast masses in ultrasound

Medical students need artificial intelligence and machine learning training

Applying Deep Learning Methods for Mammography Analysis and Breast Cancer Detection

Weakly supervised histopathology image segmentation with self-attention

Morphologists overestimate the nuclear‐to‐cytoplasmic ratio

Urinary nucleosides as potential tumor markers evaluated by learning vector quantization

Ultrasound Breast Tumor Image Computer-Aided Diagnosis With Texture and Morphological Features

A resolution adaptive deep hierarchical (RADHicaL) learning scheme applied to nuclear segmentation of digital pathology images

Integrating radiomics into holomics for personalised oncology: from algorithms to bedside

UK National Screening Committee's approach to reviewing evidence on artificial intelligence in breast cancer screening

Polygonal Modeling of Contours of Breast Tumors With the Preservation of Spicules

Computer-assisted frameworks for classification of liver, breast and blood neoplasias via neural networks: A survey based on medical images

Transformers in Medical Image Analysis: A Review

Deep-learning-based accurate hepatic steatosis quantification for histological assessment of liver biopsies