Deblurring masked image modeling for ultrasound image analysis

Q Kang, Q Lao, J Gao, J Liu, H Yi, B Ma, X Zhang… - Medical Image …, 2024 - Elsevier
Recently, large pretrained vision foundation models based on masked image modeling
(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 …

Ultrasound image segmentation for deep vein thrombosis using UNet-CNN based on denoising filter

MN Shodiq, EM Yuniarno, J Nugroho… - … on imaging systems …, 2022 - ieeexplore.ieee.org
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 …

[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 …

Comparative Study of Principle and Independent Component Analysis of CNN for Embryo Stage and Fertility Classification

A Sinha, T Kundu, K Sinha - International Journal of Fuzzy System …, 2022 - igi-global.com
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 …

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 …

Motion blur invariant for estimating motion parameters of medical ultrasound images

B Honarvar Shakibaei Asli, Y Zhao, JA Erkoyuncu - Scientific Reports, 2021 - nature.com
High-quality medical ultrasound imaging is definitely concerning motion blur, while medical
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.

MN Shodiq, EM Yuniarno, TA Sardjono… - International Journal of …, 2024 - inass.org
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 …

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 …

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 …