Alle Papers – KI in der Krebserkennung
169.543 Papers insgesamt · Seite 52 von 400
Deep learning based classification of breast tumors with shear-wave elastography
Particle Swarm Optimization Feature Selection for Breast Cancer Recurrence Prediction
Augmented Intelligence Dermatology: Deep Neural Networks Empower Medical Professionals in Diagnosing Skin Cancer and Predicting Treatment Options for 134 Skin Disorders
On techniques for detecting circumscribed masses in mammograms
Long-term cancer survival prediction using multimodal deep learning
Computing average shaped tissue probability templates
IS&T/SPIE Electronic Imaging
FANet: A Feedback Attention Network for Improved Biomedical Image Segmentation
Skin cancer classification via convolutional neural networks: systematic review of studies involving human experts
The Bethesda System for reporting cervical/vaginal cytologic diagnoses
Role of machine learning in medical research: A survey
PACS and Imaging Informatics: Basic Principles and Applications
Comparison of machine learning methods for classifying mediastinal lymph node metastasis of non-small cell lung cancer from 18F-FDG PET/CT images
Segmentation of microcalcifications in mammograms
Self-supervised learning methods and applications in medical imaging analysis: a survey
Synthesizing electronic health records using improved generative adversarial networks
A deep learning-based algorithm for 2-D cell segmentation in microscopy images
Ultrasound for Breast Cancer Detection Globally: A Systematic Review and Meta-Analysis
Classification of benign and malignant masses based on Zernike moments
Application of decision tree-based ensemble learning in the classification of breast cancer
Mammographic density. Measurement of mammographic density
Challenges and barriers of using large language models (LLM) such as ChatGPT for diagnostic medicine with a focus on digital pathology – a recent scoping review
Detection and classification of lung diseases for pneumonia and Covid-19 using machine and deep learning techniques
Automated diagnosis of breast ultrasonography images using deep neural networks
Detecting Cardiovascular Disease from Mammograms With Deep Learning