Deblurring masked image modeling for ultrasound image analysis
Recently, large pretrained vision foundation models based on masked image modeling
(MIM) have attracted unprecedented attention and achieved remarkable performance across …
(MIM) have attracted unprecedented attention and achieved remarkable performance across …
[PDF][PDF] Speckle Noise Suppression in Ultrasound Images Using Modular Neural Networks.
G Karthiha, S Allwin - Intelligent Automation & Soft Computing, 2023 - cdn.techscience.cn
In spite of the advancement in computerized imaging, many image modalities produce
images with commotion influencing both the visual quality and upsetting quantitative image …
images with commotion influencing both the visual quality and upsetting quantitative image …
Ultrasound image segmentation for deep vein thrombosis using UNet-CNN based on denoising filter
Deep vein thrombosis (DVT) is caused by an abnormal blood clot condition in the network of
blood vessels. Several risk factors that often cause DVT are advanced age, post-surgery …
blood vessels. Several risk factors that often cause DVT are advanced age, post-surgery …
[HTML][HTML] Early Breast Cancer Detection Using Artificial Intelligence Techniques Based on Advanced Image Processing Tools
Z Zhu, Y Sun, B Honarvar Shakibaei Asli - Electronics, 2024 - mdpi.com
The early detection of breast cancer is essential for improving treatment outcomes, and
recent advancements in artificial intelligence (AI), combined with image processing …
recent advancements in artificial intelligence (AI), combined with image processing …
Comparative Study of Principle and Independent Component Analysis of CNN for Embryo Stage and Fertility Classification
background: Applications of deep learning for the societal issues are one of the debatable
concerns where the community medicine and implication of artificial intelligence for the …
concerns where the community medicine and implication of artificial intelligence for the …
Near-field beamforming method based on motion model analysis for UAVs communication
Y Zhang, G Wang, S Peng, Y Leng, B Wang - Digital Signal Processing, 2024 - Elsevier
This study presents a near-field beamforming method for the moving swarm composed of
unmanned aerial vehicles (UAVs) to address the challenges of position errors that hinder …
unmanned aerial vehicles (UAVs) to address the challenges of position errors that hinder …
Motion blur invariant for estimating motion parameters of medical ultrasound images
High-quality medical ultrasound imaging is definitely concerning motion blur, while medical
image analysis requires motionless and accurate data acquired by sonographers. The main …
image analysis requires motionless and accurate data acquired by sonographers. The main …
[PDF][PDF] Deep Vein Thrombosis Segmentation Using Deep Learning for Volume Reconstruction from 3D Freehand Ultrasound Images.
Deep vein thrombosis (DVT) refers to the formation of abnormal blood clots within the inner
vascular veins, typically in the legs, posing significant health risks. Traditional treatment …
vascular veins, typically in the legs, posing significant health risks. Traditional treatment …
Automated Classification and Segmentation and Feature Extraction from Breast Imaging Data
Y Sun, Z Zhu, BHS Asli - Electronics, 2024 - search.proquest.com
Breast cancer is the most common type of cancer in women and poses a significant health
risk to women globally. Developments in computer-aided diagnosis (CAD) systems are …
risk to women globally. Developments in computer-aided diagnosis (CAD) systems are …
Design, optimisation and implementation of a DCT/IDCT-based image processing system on FPGA
S Tang, M Sinare, Y Zheng - International Journal of …, 2021 - inderscienceonline.com
In this paper, a Discrete Cosine Transform (DCT) and its inverse transform IDCT are
designed and optimised for FPGA using the **linx VIVADO High-Level Synthesis (HLS) tool …
designed and optimised for FPGA using the **linx VIVADO High-Level Synthesis (HLS) tool …