Deep learning in medical ultrasound image analysis: a review
Ultrasound (US) is one of the most widely used imaging modalities in medical diagnosis. It
has the advantages of real-time, low cost, noninvasive nature, and easy to operate …
has the advantages of real-time, low cost, noninvasive nature, and easy to operate …
Recent advances in artificial intelligence-assisted ultrasound scanning
R Tenajas, D Miraut, CI Illana, R Alonso-Gonzalez… - Applied Sciences, 2023 - mdpi.com
Ultrasound (US) is a flexible imaging modality used globally as a first-line medical exam
procedure in many different clinical cases. It benefits from the continued evolution of …
procedure in many different clinical cases. It benefits from the continued evolution of …
Cai4cai: the rise of contextual artificial intelligence in computer-assisted interventions
Data-driven computational approaches have evolved to enable extraction of information
from medical images with reliability, accuracy, and speed, which is already transforming …
from medical images with reliability, accuracy, and speed, which is already transforming …
[图书][B] Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd International Conference, Lima, Peru, October 4–8, 2020, Proceedings, Part …
The seven-volume set LNCS 12261, 12262, 12263, 12264, 12265, 12266, and 12267
constitutes the refereed proceedings of the 23rd International Conference on Medical Image …
constitutes the refereed proceedings of the 23rd International Conference on Medical Image …
Autonomous robotic screening of tubular structures based only on real-time ultrasound imaging feedback
Ultrasound (US) imaging is widely employed for diagnosis and staging of vascular diseases,
mainly due to its high availability and the fact it does not emit ionizing radiation. However …
mainly due to its high availability and the fact it does not emit ionizing radiation. However …
Automatic probe movement guidance for freehand obstetric ultrasound
We present the first system that provides real-time probe movement guidance for acquiring
standard planes in routine freehand obstetric ultrasound scanning. Such a system can …
standard planes in routine freehand obstetric ultrasound scanning. Such a system can …
Automatic normal positioning of robotic ultrasound probe based only on confidence map optimization and force measurement
Acquiring good image quality is one of the main challenges for fully-automatic robot-assisted
ultrasound systems (RUSS). The presented method aims at overcoming this challenge for …
ultrasound systems (RUSS). The presented method aims at overcoming this challenge for …
Defcor-net: physics-aware ultrasound deformation correction
The recovery of morphologically accurate anatomical images from deformed ones is
challenging in ultrasound (US) image acquisition, but crucial to accurate and consistent …
challenging in ultrasound (US) image acquisition, but crucial to accurate and consistent …
[HTML][HTML] Brain tumour segmentation using convolutional neural network with tensor flow
M Malathi, P Sinthia - Asian Pacific journal of cancer prevention …, 2019 - ncbi.nlm.nih.gov
Objective: Among brain tumours, gliomas are the most common aggressive, leading to a
very short life expectancy in their highest grade. In the clinical practice manual segmentation …
very short life expectancy in their highest grade. In the clinical practice manual segmentation …
Sensorless freehand 3D ultrasound reconstruction via deep contextual learning
Transrectal ultrasound (US) is the most commonly used imaging modality to guide prostate
biopsy and its 3D volume provides even richer context information. Current methods for 3D …
biopsy and its 3D volume provides even richer context information. Current methods for 3D …