Explainable artificial intelligence-based edge fuzzy images for COVID-19 detection and identification

Q Hu, FNB Gois, R Costa, L Zhang, L Yin… - Applied Soft …, 2022 - Elsevier
The COVID-19 pandemic continues to wreak havoc on the world's population's health and
well-being. Successful screening of infected patients is a critical step in the fight against it …

Novel three-dimensional bladder reconstruction model from b-mode ultrasound image to improve the accuracy of bladder volume measurement

ML Chang, HC Li, CK Liu, HS Chiang, CC Hsu - Sensors, 2021 - mdpi.com
Traditional bladder volume measurement from B-mode (two-dimensional) ultrasound has
been found to produce inaccurate results, and thus in this work we aim to improve the …

Automated measurements of morphological parameters of muscles and tendons

SI Jabbar, C Day, E Chadwick - Biomedical Physics & …, 2021 - iopscience.iop.org
Capturing accurate representations of musculoskeletal system morphology is a core aspect
of musculoskeletal modelling of the upper limb. Measurements of important geometric …

Modified gaussian filter based on fuzzy membership function for awgn removal in digital images

BW Cheon, NH Kim - Journal of information and communication …, 2021 - koreascience.kr
Various digital devices were supplied throughout the Fourth Industrial Revolution.
Accordingly, the importance of data processing has increased. Data processing significantly …

Local Entropy Based Fuzzy Connectedness Segmentation for Thyroid Ultrasound Images

Y Fu, K Li, J Chen - … on Systems, Man, and Cybernetics (SMC), 2023 - ieeexplore.ieee.org
Although deep learning methods are popular in recent years to achieve dominant image
segmentation performance, the carefully annotated training images are very difficult to …

Automated reduction the speckle noise of the panoramic ultrasound images of Muscles and Tendons

SI Jabbar, C Day, E Chadwick - Journal of Physics: Conference …, 2020 - iopscience.iop.org
Removing or reducing speckle noise is one of the main goals to ensure high quality
panoramic ultrasound images of muscles and tendons. The presence of noise in the …

MRI video edge detection based on fuzzy inference technique

SI Jabbar, AQ Aladi - 2020 IEEE 14th International Conference …, 2020 - ieeexplore.ieee.org
Objects recognition of the Magnetic Resonance Imaging (MRI) is a powerful tool in the
detection of the geometric parameters such as area and perimeter. When outlining the …

Noise Removal Algorithm based on Fuzzy Membership Function in AWGN Environments

BW Cheon, NH Kim - Journal of the Korea Institute of Information …, 2020 - koreascience.kr
With the development of IoT technology, various digital equipment is being spread, and
accordingly, the importance of data processing is increasing. The importance of data …

A new method of contrast enhancement of musculoskeletal ultrasound imaging based on fuzzy inference technique

SI Jabbar, AQ Aladi, C Day… - Biomedical Physics & …, 2021 - iopscience.iop.org
Improving the clarity and visual quality of Musculoskeletal Ultrasound Images (MUI) can help
clinicians to detect diseases more easily and accurately. In this work, we described how to …

AWGN 환경에서퍼지멤버십함수에기반한잡음제거알고리즘.

천봉원, 김남호 - Journal of the Korea Institute of Information …, 2020 - search.ebscohost.com
요 약 IoT 기술의 발달에 따라 다양한 디지털 장비가 보급되고 있으며, 이에 따라 데이터 처리의
중요성이 높아지고 있다. 데이터 처리는 장비의 신뢰성에 큰 영향을 미치는 만큼 그 중요성이 …