Going deep in medical image analysis: concepts, methods, challenges, and future directions
Medical image analysis is currently experiencing a paradigm shift due to deep learning. This
technology has recently attracted so much interest of the Medical Imaging Community that it …
technology has recently attracted so much interest of the Medical Imaging Community that it …
A review on deep-learning algorithms for fetal ultrasound-image analysis
Deep-learning (DL) algorithms are becoming the standard for processing ultrasound (US)
fetal images. A number of survey papers in the field is today available, but most of them are …
fetal images. A number of survey papers in the field is today available, but most of them are …
Towards clinical application of artificial intelligence in ultrasound imaging
Artificial intelligence (AI) is being increasingly adopted in medical research and applications.
Medical AI devices have continuously been approved by the Food and Drug Administration …
Medical AI devices have continuously been approved by the Food and Drug Administration …
Shadow-consistent semi-supervised learning for prostate ultrasound segmentation
Prostate segmentation in transrectal ultrasound (TRUS) image is an essential prerequisite
for many prostate-related clinical procedures, which, however, is also a long-standing …
for many prostate-related clinical procedures, which, however, is also a long-standing …
Weakly supervised estimation of shadow confidence maps in fetal ultrasound imaging
Detecting acoustic shadows in ultrasound images is important in many clinical and
engineering applications. Real-time feedback of acoustic shadows can guide sonographers …
engineering applications. Real-time feedback of acoustic shadows can guide sonographers …
Shadow estimation for ultrasound images using auto-encoding structures and synthetic shadows
S Yasutomi, T Arakaki, R Matsuoka, A Sakai… - Applied Sciences, 2021 - mdpi.com
Acoustic shadows are common artifacts in medical ultrasound imaging. The shadows are
caused by objects that reflect ultrasound such as bones, and they are shown as dark areas …
caused by objects that reflect ultrasound such as bones, and they are shown as dark areas …
[HTML][HTML] A review of visualisation-as-explanation techniques for convolutional neural networks and their evaluation
Visualisation techniques are powerful tools to understand the behaviour of Artificial
Intelligence (AI) systems. They can be used to identify important features contributing to the …
Intelligence (AI) systems. They can be used to identify important features contributing to the …
A novel complementation method of an acoustic shadow region utilizing a convolutional neural network for ultrasound-guided therapy
M Matsuyama, N Koizumi, A Otsuka… - International journal of …, 2022 - Springer
Purpose Noise-free ultrasound images are essential for organ monitoring during regional
ultrasound-guided therapy. When the affected area is located under the ribs, however …
ultrasound-guided therapy. When the affected area is located under the ribs, however …
[PDF][PDF] Deep Learning Techniques for a Comprehensive Analysis of Fetal Biometric Parameters Across Trimesters
The process of creating fetal images from the uterus using sound influence is known as fetal
ultrasound imaging. During this scan, measurements such as the gestational sac, biparietal …
ultrasound imaging. During this scan, measurements such as the gestational sac, biparietal …
Deep learning augmentation for medical image analysis
F Altaf - 2022 - ro.ecu.edu.au
Deep learning is at the center of the current rise of computer aided diagnosis in medical
imaging. This technology has the ability to mimic extremely complex mathematical functions …
imaging. This technology has the ability to mimic extremely complex mathematical functions …