Alle Papers – KI in der Krebserkennung

Artificial intelligence system reduces false-positive findings in the interpretation of breast ultrasound exams

Various dimension reduction techniques for high dimensional data analysis: a review

Multistain deep learning for prediction of prognosis and therapy response in colorectal cancer

Improvement of Radiologists' Characterization of Mammographic Masses by Using Computer-aided Diagnosis: An ROC Study

Prospective assessment of breast cancer risk from multimodal multiview ultrasound images via clinically applicable deep learning

Unregistered Multiview Mammogram Analysis with Pre-trained Deep Learning Models

A comprehensive review of deep neural networks for medical image processing: Recent developments and future opportunities

PanCancer insights from The Cancer Genome Atlas: the pathologist's perspective

Large-scale computations on histology images reveal grade-differentiating parameters for breast cancer

Transfer Learning With Adaptive Fine-Tuning

Classification and mutation prediction based on histopathology H&E images in liver cancer using deep learning

Deep learning-enabled breast cancer hormonal receptor status determination from base-level H&E stains

Effect of a computer-aided diagnosis scheme on radiologists' performance in detection of lung nodules on radiographs.

Building a reference multimedia database for interstitial lung diseases

Accurate Cervical Cell Segmentation from Overlapping Clumps in Pap Smear Images

The role of US in breast imaging.

Fusing fine-tuned deep features for skin lesion classification

Deep feature learning for histopathological image classification of canine mammary tumors and human breast cancer

On the misuses of artificial neural networks for prognostic and diagnostic classification in oncology

Towards a Better Understanding of Transfer Learning for Medical Imaging: A Case Study

Breast Cancer Screening Using Tomosynthesis or Mammography: A Meta-analysis of Cancer Detection and Recall

KiU-Net: Overcomplete Convolutional Architectures for Biomedical Image and Volumetric Segmentation

Image-processing technique for suppressing ribs in chest radiographs by means of massive training artificial neural network (MTANN)

Stepwise Feature Fusion: Local Guides Global

Weakly-supervised learning for lung carcinoma classification using deep learning