[HTML][HTML] Artificial intelligence (AI) applications for point of care ultrasound (POCUS) in low-resource settings: a sco** review
Advancements in artificial intelligence (AI) for point-of-care ultrasound (POCUS) have
ushered in new possibilities for medical diagnostics in low-resource settings. This review …
ushered in new possibilities for medical diagnostics in low-resource settings. This review …
[HTML][HTML] Performance evaluation of deep learning models on mammogram classification using small dataset
Cancer is the second leading cause of death globally, and breast cancer (BC) is the second
most reported cancer. Although the incidence rate is reducing in developed countries, the …
most reported cancer. Although the incidence rate is reducing in developed countries, the …
COVID-BLUeS-A Prospective Study on the Value of AI in Lung Ultrasound Analysis
N Wiedemann, D de Korte-de Boer… - IEEE Journal of …, 2025 - ieeexplore.ieee.org
As a lightweight and non-invasive imaging technique, lung ultrasound (LUS) has gained
importance for assessing lung pathologies. The use of Artificial intelligence (AI) in medical …
importance for assessing lung pathologies. The use of Artificial intelligence (AI) in medical …
Multi-modal lung ultrasound image classification by fusing image-based features and probe information
Lung ultrasound is a widely used portable, cheap, and non-invasive medical imaging
technology that can be used to identify various lung pathologies. In this work, we propose a …
technology that can be used to identify various lung pathologies. In this work, we propose a …
Ultrasound-Based AI for COVID-19 Detection: A Comprehensive Review of Public and Private Lung Ultrasound Datasets and Studies
The COVID-19 pandemic has affected millions of people globally, with respiratory organs
being strongly affected in individuals with comorbidities. Medical imaging-based diagnosis …
being strongly affected in individuals with comorbidities. Medical imaging-based diagnosis …
[HTML][HTML] Bag of Tricks for Improving Deep Learning Performance on Multimodal Image Classification
A comprehensive medical image-based diagnosis is usually performed across various
image modalities before passing a final decision; hence, designing a deep learning model …
image modalities before passing a final decision; hence, designing a deep learning model …
[PDF][PDF] Performance Evaluation of Deep Learning Models on Mammogram Classification Using Small Dataset. Bioengineering 2022, 9, 161
AP Adedigba, SA Adeshina, AM Aibinu - 2022 - academia.edu
Cancer is the second leading cause of death globally, and breast cancer (BC) is the second
most reported cancer. Although the incidence rate is reducing in developed countries, the …
most reported cancer. Although the incidence rate is reducing in developed countries, the …
Physics-Inspired Machine Intelligence for Robotic Ultrasound Imaging
M Tirindelli - 2023 - mediatum.ub.tum.de
Ultrasound imaging is a commonly used technique for visualizing tissues in real-time without
radiation exposure. The use of robots to automate ultrasound acquisitions has been …
radiation exposure. The use of robots to automate ultrasound acquisitions has been …
[PDF][PDF] UWS Academic Portal
H Kolb, A Snowden, E Stevens, I Atherton - core.ac.uk
Aim: Identification of risk factors predicting the development of death rattle Background:
Respiratory tract secretions, often called death rattle, are among the most common …
Respiratory tract secretions, often called death rattle, are among the most common …