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 …
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 …
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
Capturing accurate representations of musculoskeletal system morphology is a core aspect
of musculoskeletal modelling of the upper limb. Measurements of important geometric …
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 …
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 …
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
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 …
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 …
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 …
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
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 …
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 …
중요성이 높아지고 있다. 데이터 처리는 장비의 신뢰성에 큰 영향을 미치는 만큼 그 중요성이 …