Alle Papers – KI in der Krebserkennung

Machine learning and deep learning approach for medical image analysis: diagnosis to detection

Evaluation of Deep Learning Strategies for Nucleus Segmentation in Fluorescence Images

Efficient Pneumonia Detection in Chest Xray Images Using Deep Transfer Learning

Thoracic Disease Identification and Localization with Limited Supervision

Image analysis with deep learning to predict breast cancer grade, ER status, histologic subtype, and intrinsic subtype

EMCAD: Efficient Multi-Scale Convolutional Attention Decoding for Medical Image Segmentation

MedMNIST Classification Decathlon: A Lightweight AutoML Benchmark for Medical Image Analysis

Expert-Level Diagnosis of Nonpigmented Skin Cancer by Combined Convolutional Neural Networks

Automatic Classification of Cancerous Tissue in Laserendomicroscopy Images of the Oral Cavity using Deep Learning

Image Data Resource: a bioimage data integration and publication platform

A Multimodal Deep Neural Network for Human Breast Cancer Prognosis Prediction by Integrating Multi-Dimensional Data

Multimodal data fusion for cancer biomarker discovery with deep learning

Multimodal data integration using machine learning improves risk stratification of high-grade serous ovarian cancer

Explainable machine learning can outperform Cox regression predictions and provide insights in breast cancer survival

An artificial intelligence algorithm for prostate cancer diagnosis in whole slide images of core needle biopsies: a blinded clinical validation and deployment study

ResNet and its application to medical image processing: Research progress and challenges

A Novel Medical Diagnosis model for COVID-19 infection detection based on Deep Features and Bayesian Optimization

Artificial convolution neural network for medical image pattern recognition

Results of the 2016 International Skin Imaging Collaboration International Symposium on Biomedical Imaging challenge: Comparison of the accuracy of computer algorithms to dermatologists for the diagnosis of melanoma from dermoscopic images

Machine Learning Techniques for the Diagnosis of Alzheimer’s Disease

A CAD system for the automatic detection of clustered microcalcifications in digitized mammogram films

Medical Image Segmentation Methods, Algorithms, and Applications

Deep features for breast cancer histopathological image classification

Automated invasive ductal carcinoma detection based using deep transfer learning with whole-slide images

Designing deep learning studies in cancer diagnostics