Performance evaluation of 67 denoising filters in ultrasound images: A systematic comparison analysis
Sign Up to like & getrecommendations! Published in 2023 at "International Journal of Imaging Systems and Technology"
DOI: 10.1002/ima.22843
Abstract: Noise corrupts ultrasound images and degrades spatial and contrast resolutions. Hence, it is challenging to characterize the lesions precisely using ultrasound images. The present study aims to evaluate 67 denoising filters and select the best… read more here.
Keywords: denoising filters; evaluation; rank analysis; ultrasound images ... See more keywords
Efficient feature extraction and hybrid deep learning for early identification of uterine fibroids in ultrasound images
Sign Up to like & getrecommendations! Published in 2024 at "International Journal of Imaging Systems and Technology"
DOI: 10.1002/ima.23073
Abstract: Non‐cancerous growths called uterine fibroids develop in the uterus. They can vary in size, location, and number, and can produce symptoms including excessive menstrual flow, pelvic discomfort, and reproductive problems. Early detection of uterine fibroids… read more here.
Keywords: detection; feature extraction; uterine fibroids; ultrasound images ... See more keywords
A deep learning classification of metacarpophalangeal joints synovial proliferation in rheumatoid arthritis by ultrasound images
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Clinical Ultrasound"
DOI: 10.1002/jcu.23143
Abstract: To evaluate if an automatic classification of rheumatoid arthritis (RA) metacarpophalangeal joint conditions in ultrasound images is feasible by deep learning (DL) method, to provide a more objective, automated, and fast way of RA diagnosis… read more here.
Keywords: classification; ultrasound images; deep learning; rheumatoid arthritis ... See more keywords
Multiparametric ultrasound images of three different cases of schwannoma of the peripheral nervous system
Sign Up to like & getrecommendations! Published in 2023 at "Journal of Clinical Ultrasound"
DOI: 10.1002/jcu.23452
Abstract: This case image illustrates the importance of new sonographic applications such as superb microvascular imaging and shear wave elastography; as showed, they improve the diagnostic recognition of peripheral nerve lesion thanks to a better definition… read more here.
Keywords: different cases; images three; ultrasound images; ultrasound ... See more keywords
Automatic renal lesion segmentation in ultrasound images based on saliency features, improved LBP, and an edge indicator under level set framework
Sign Up to like & getrecommendations! Published in 2018 at "Medical Physics"
DOI: 10.1002/mp.12661
Abstract: PURPOSE Segmentation of lesions in ultrasound images is widely used for preliminary diagnosis. In this paper, we develop an automatic segmentation algorithm for multiple types of lesions in ultrasound images. The proposed method is able… read more here.
Keywords: edge indicator; segmentation; ultrasound images; proposed method ... See more keywords
A two-stage network with prior knowledge guidance for medullary thyroid carcinoma recognition in ultrasound images.
Sign Up to like & getrecommendations! Published in 2022 at "Medical physics"
DOI: 10.1002/mp.15492
Abstract: PURPOSE Accurate recognition of Medullary Thyroid Carcinoma (MTC) is of great importance in medical diagnosis, as MTC is rare but second-most malignant thyroid cancers with a high case-fatality ratio.[1] But there is a lower recognition… read more here.
Keywords: network; mtc; thyroid nodules; thyroid ... See more keywords
Multilevel perception boundary-guided network for breast lesion segmentation in ultrasound images.
Sign Up to like & getrecommendations! Published in 2025 at "Medical physics"
DOI: 10.1002/mp.17647
Abstract: BACKGROUND Automatic segmentation of breast tumors from the ultrasound images is essential for the subsequent clinical diagnosis and treatment plan. Although the existing deep learning-based methods have achieved considerable progress in automatic segmentation of breast… read more here.
Keywords: method; breast; segmentation; boundary guided ... See more keywords
Computer-aided diagnosis of malignant or benign thyroid nodes based on ultrasound images
Sign Up to like & getrecommendations! Published in 2017 at "European Archives of Oto-Rhino-Laryngology"
DOI: 10.1007/s00405-017-4562-3
Abstract: The objective of this study is to evaluate the diagnostic value of combination of artificial neural networks (ANN) and support vector machine (SVM)-based CAD systems in differentiating malignant from benign thyroid nodes with gray-scale ultrasound… read more here.
Keywords: thyroid nodes; ultrasound images; benign thyroid; malignant benign ... See more keywords
Automatic initialization of active contours in ultrasound images of breast cancer
Sign Up to like & getrecommendations! Published in 2017 at "Pattern Analysis and Applications"
DOI: 10.1007/s10044-017-0627-6
Abstract: Gradient vector flow (GVF) snakes are an efficient method for segmentation of ultrasound images of breast cancer. However, the method produces inaccurate results if the seeds are initialized improperly (far from the true boundaries and… read more here.
Keywords: images breast; method; breast cancer; ultrasound images ... See more keywords
Machine Learning–Aided Chronic Kidney Disease Diagnosis Based on Ultrasound Imaging Integrated with Computer-Extracted Measurable Features
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Digital Imaging"
DOI: 10.1007/s10278-022-00625-8
Abstract: Although ultrasound plays an important role in the diagnosis of chronic kidney disease (CKD), image interpretation requires extensive training. High operator variability and limited image quality control of ultrasound images have made the application of… read more here.
Keywords: ultrasound images; model; measurable features; computer extracted ... See more keywords
Computer-aided diagnosis for fetal brain ultrasound images using deep convolutional neural networks
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Computer Assisted Radiology and Surgery"
DOI: 10.1007/s11548-020-02182-3
Abstract: Purpose Fetal brain abnormalities are some of the most common congenital malformations that may associated with syndromic and chromosomal malformations, and could lead to neurodevelopmental delay and mental retardation. Early prenatal detection of brain abnormalities… read more here.
Keywords: fetal brain; diagnosis; brain abnormalities; ultrasound images ... See more keywords