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
- 2022.2
- 수록면
- 92 - 103 (12page)
이용수
초록· 키워드
오류제보하기
The development of midinfrared (mid-IR) quantum cascade lasers (QCLs) has enabled rapid high-contrast measurement of the mid-IR spectra of biological tissues. Several studies have compared the differences between the mid-IR spectra of colon cancer and noncancerous colon tissues. Most mid-IR spectrum classification studies have been proposed as machine-learning-based algorithms, but this results in deviations depending on the initial data and threshold values. We aim to develop a process for classifying colon cancer and noncancerous colon tissues through a deep-learning-based convolutional-neural-network (CNN) model. First, we image the midinfrared spectrum for the CNN model, an image-based deep-learning (DL) algorithm. Then, it is trained with the CNN algorithm and the classification ratio is evaluated using the test data. When the tissue microarray (TMA) and routine pathological slide are tested, the ML-based support-vector-machine (SVM) model produces biased results, whereas we confirm that the CNN model classifies colon cancer and noncancerous colon tissues. These results demonstrate that the CNN model using midinfrared-spectrum images is effective at classifying colon cancer tissue and noncancerous colon tissue, and not only submillimeter-sized TMA but also routine colon cancer tissue samples a few tens of millimeters in size.
목차
Ⅰ. INTRODUCTION
Ⅱ. METHODS
Ⅲ. RESULTS
Ⅳ. DISCUSSION
Ⅴ. CONCLUSION
REFERENCES
참고문헌 (0)
참고문헌 신청함께 읽어보면 좋을 논문
논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!
-
Classification of Colon Cancer Patients Based on the Methylation Patterns of Promoters
Genomics & informatics
2016 .01
-
Alternative Carcinogenicity Screening Assay Using Colon Cancer Stem Cells: A Quantitative PCR (qPCR)-Based Prediction System for Colon Carcinogenesis
Journal of Microbiology and Biotechnology
2018 .01
-
Inhibition Effect of Lactobacillus plantarum in Colon Cancer
한국미생물학회 학술대회논문집
2016 .04
-
β-carotene regulates cancer stemness in colon cancer in vivo and in vitro
Nutrition Research and Practice
2022 .04
-
β-carotene regulates cancer stemness in colon cancer in vivo and in vitro
Nutrition Research and Practice
2022 .04
-
Big data mining of microRNAs in colon carcinogenesis and potential target for cancer chemoprevention
한국지역사회생활과학회 학술대회 자료집
2015 .04
-
Theranostic nanoparticles with bio-electronics for endoscope-based colon cancer treatment
한국진공학회 학술발표회초록집
2016 .08
-
작물분류에서 기계학습 및 딥러닝 알고리즘의 분류 성능 평가: 하이퍼파라미터와 훈련자료 크기의 영향 분석
대한원격탐사학회지
2018 .01
-
The Role of Nuclear Receptor Subfamily 1 Group H Member 4 (NR1H4) in Colon Cancer Cell Survival through the Regulation of c-Myc Stability
Molecules and Cells
2020 .01
-
Analysis of KAP1 expression patterns and human endogenous retrovirus Env proteins in ovarian cancer
Genes & Genomics
2020 .01
-
CNN 인공지능을 이용한 서울 지역의 PM10 예측 모델 개발
한국기상학회 학술대회 논문집
2018 .10
-
Application of IR spectrum of water in cell culture
한국분석과학회 학술대회
2020 .06
-
Plasma Membrane Localized GCaMP-MS4A12 by Orai1 Co-Expression Shows Thapsigargin- and Ca2+-Dependent Fluorescence Increases
Molecules and Cells
2021 .01
-
Molecular fossils “pseudogenes” as functional signature in biological system
Genes & Genomics
2020 .01
-
Quantum cascade laser (QCL) for Mid-IR
한국진공학회 학술발표회초록집
2015 .02
-
암 진단 분자 마커로서 이동성 유전인자의 응용
생명과학회지
2017 .10
-
Introduction to convolutional neural network using Keras; an understanding from a statistician
CSAM(Communications for Statistical Applications and Methods)
2019 .11
-
Negative regulation of HDAC3 transcription by histone acetyltransferase TIP60 in colon cancer
Genes & Genomics
2024 .07
-
The Microbiome-Immune Axis Therapeutic Effects in Cancer Treatments
Journal of Microbiology and Biotechnology
2022 .09
-
Deformable convolutional network를 기반으로 한 Mask R-CNN
한국데이터정보과학회지
2020 .11
이 논문의 저자 정보
최근 본 자료
댓글(0)
0
UCI(KEPA) : I410-ECN-0101-2023-425-000231520