Region of interest segmentation based on clustering techniques for breast cancer ultrasound images: A review

M Muhammad, D Zeebaree, AMA Brifcani… - Journal of Applied …, 2020 - jastt.org
The most prevalent cancer amongst women is woman breast cancer. Ultrasound imaging is
a widely employed method for identifying and diagnosing breast abnormalities. Computer …

Harnessing machine intelligence in automatic echocardiogram analysis: Current status, limitations, and future directions

G Zamzmi, LY Hsu, W Li, V Sachdev… - IEEE reviews in …, 2020 - ieeexplore.ieee.org
Echocardiography (echo) is a critical tool in diagnosing various cardiovascular diseases.
Despite its diagnostic and prognostic value, interpretation and analysis of echo images are …

Improved segmentation of echocardiography with orientation-congruency of optical flow and motion-enhanced segmentation

W Xue, H Cao, J Ma, T Bai, T Wang… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
Quantification of left ventricular (LV) ejection fraction (EF) from echocardiography depends
upon the identification of endocardium boundaries as well as the calculation of end-diastolic …

Echocardiography image segmentation using feed forward artificial neural network (FFANN) with fuzzy multi-scale edge detection (FMED)

PM Shakeel, S Baskar, R Sampath… - … Journal of Signal and …, 2019 - inderscienceonline.com
In the recent past Echocardiography image segmentation is one of the significant process
describes about the segment out inner and outer walls or other parts of the organ …

DSANet: Dual-branch shape-aware network for echocardiography segmentation in apical views

GQ Zhou, WB Zhang, ZQ Shi, ZR Qi… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
Echocardiography is an essential examination for cardiac disease diagnosis, from which
anatomical structures segmentation is the key to assessing various cardiac functions …

Interactive translation in echocardiography training system with enhanced cycle-GAN

L Teng, Z Fu, Y Yao - IEEE access, 2020 - ieeexplore.ieee.org
Interactive translation in echocardiography training system refers to the pixel-wise
translation between ultrasound cardiac and theoretical sketch images in the course of hand …

Echocardiographic image multi‐structure segmentation using Cardiac‐SegNet

Y Lei, Y Fu, J Roper, K Higgins, JD Bradley… - Medical …, 2021 - Wiley Online Library
Purpose Cardiac boundary segmentation of echocardiographic images is important for
cardiac function assessment and disease diagnosis. However, it is challenging to segment …

ResDUnet: Residual dilated UNet for left ventricle segmentation from echocardiographic images

A Amer, X Ye, M Zolgharni… - 2020 42nd Annual …, 2020 - ieeexplore.ieee.org
Echocardiography is the modality of choice for the assessment of left ventricle function. Left
ventricle is responsible for pum** blood rich in oxygen to all body parts. Segmentation of …

Residual dilated U-net for the segmentation Of COVID-19 infection from CT images

A Amer, X Ye, F Janan - Proceedings of the IEEE/CVF …, 2021 - openaccess.thecvf.com
Medical imaging such as computed tomography (CT) plays a critical role in the global fight
against COVID-19. Computer-aided platforms have emerged to help radiologists diagnose …

[BOOK][B] A survey of ultrasonography breast cancer image segmentation techniques

JN Saeed - 2020 - books.google.com
The most common cause of death among women globally is breast cancer. One of the key
strategies to reduce mortality associated with breast cancer is to develop effective early …