지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2024.12
- 수록면
- 550 - 557 (8page)
- DOI
- 10.4283/JMAG.2024.29.4.550
이용수
초록· 키워드
오류제보하기
This study explores the efficacy of the U-Net architecture for denoising lung CT images that have undergone the introduction of artificially added Gaussian noise. Noise in medical imaging can significantly compromise diagnostic accuracy, prompting the utilization of U-Net to mitigate this challenge. We set the noise standard deviations of 0.03, 0.05, and 0.07, employing metrics such as Mean Squared Error (MSE), Peak Signal-to-Noise Ratio (PSNR), Structural Similarity Index Measure (SSIM), and skewness and kurtosis of patch-based statistics difference across a dataset of 100 CT DICOM files. The results exhibited substantial enhancements in evaluating metrics following denoising, underscoring the model's capability to effectively alleviate noise and enhance diagnostic reliability. Despite positive evaluation metric results, blurring effects led to the loss of anatomical information, demonstrating the necessity for further advancements in denoising techniques. This research provides a foundational framework for the development of robust methodologies aimed at improving the quality of medical imaging.
목차
1. Introduction
2. Materials and Methods
3. Results
4. Dicussions
5. Conclusions
References
참고문헌 (0)
참고문헌 신청함께 읽어보면 좋을 논문
논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!
-
Evaluation of Lung CT Image Denoising and Quality Enhancement using a Deep Learning-Based U-Net Model
한국자기학회 학술연구발표회 논문개요집
2024 .11
-
CT 영상에서 웨이블렛 변환 기반 U-Net GAN 모델을 이용한 잡음제거
한국데이터정보과학회지
2025 .03
-
Noise2Atom: unsupervised denoising for scanning transmission electron microscopy images
한국현미경학회지
2020 .01
-
영상에서 convolutional denoising autoencoder 모형을 이용한 영상복원
한국데이터정보과학회지
2020 .01
-
Research on Denoising Method of Metal Magnetic Memory Signal
Journal of Magnetics
2020 .12
-
KOSPI200 Index Prediction Using Sequence-to-Sequence based on Denoising Filter and Attention Mechanism
Quantitative Bio-Science
2020 .11
-
SATURATION-VALUE TOTAL VARIATION BASED COLOR IMAGE DENOISING UNDER MIXED MULTIPLICATIVE AND GAUSSIAN NOISE
JOURNAL OF THE KOREAN SOCIETY FOR INDUSTRIAL AND APPLIED MATHEMATICS
2022 .09
-
CT 영상에서 U-Net 기반 변형가능 컨볼루션 GAN을 이용한 잡음제거
한국데이터정보과학회지
2023 .07
-
Evaluation of Denoising Filters Based on Edge Locations
대한원격탐사학회지
2020 .01
-
Use of fast non-local means approach for noise reduction in diffusion weighted magnetic resonance imaging with high b-value
한국자기학회 학술연구발표회 논문개요집
2021 .07
-
The Effects of Total Variation (TV) Technique for Noise Reduction in Radio-Magnetic X-ray Image : Quantitative Study
Journal of Magnetics
2016 .12
-
Analysis of Image Quality, Useful factor in 3D -CT of High-Energy Electromagnetic Radiation
한국자기학회 학술연구발표회 논문개요집
2024 .05
-
Forecasting the KOSPI 200 Stock Index Based on LSTM Autoencoder
Quantitative Bio-Science
2020 .11
-
Study on Feasibility for Artificial Intelligence (AI) Noise Reduction Algorithm with Various Parameters in Pediatric Abdominal Radio-Magnetic Computed Tomography (CT)
Journal of Magnetics
2017 .12
-
Prediction of uncertainties in denoising of Scanning Electron Microscope (SEM) images with a Cycle-Consistent Adversarial Networks
한국분석과학회 학술대회
2022 .11
-
Bias-reduced ℓ1-trend filtering
CSAM(Communications for Statistical Applications and Methods)
2023 .03
-
Feasibility Study of Improved Patch Group Prior Based Denoising (PGPD) Technique with Medical Ultrasound Imaging System
Journal of Magnetics
2017 .03
-
Evaluation of diagnostic usefulness in artificial intelligence-based contrast enhancement and noise reduction on cardiac CT in myocardial infarction and disease: A comparative study with delayed-phase MRI images
한국자기학회 학술연구발표회 논문개요집
2024 .05
-
KOSPI200 Prediction through Low-Pass Filtered Long Short-Term Memory Algorithm
Quantitative Bio-Science
2020 .05
-
컴퓨팅 사고 실천 분석도구 개발 및 이의 활용에 대한 기초연구
대한지구과학교육학회지
2017 .08
이 논문의 저자 정보
최근 본 자료
댓글(0)
0
UCI(KEPA) : I410-151-25-02-092105997