172 related articles for article (PubMed ID: 38484830)
1. A novel visible and near-infrared hyperspectral imaging platform for automated breast-cancer detection.
Youssef A; Moa B; El-Sharkawy YH
Photodiagnosis Photodyn Ther; 2024 Apr; 46():104048. PubMed ID: 38484830
[TBL] [Abstract][Full Text] [Related]
2. Emerging technology for intraoperative margin assessment and post-operative tissue diagnosis for breast-conserving surgery.
Aref MH; El-Gohary M; Elrewainy A; Mahmoud A; Aboughaleb IH; Hussein AA; El-Ghaffar SA; Mahran A; El-Sharkawy YH
Photodiagnosis Photodyn Ther; 2023 Jun; 42():103507. PubMed ID: 36940788
[TBL] [Abstract][Full Text] [Related]
3. Hyperspectral imaging for diagnosis and detection of ex-vivo breast cancer.
Aboughaleb IH; Aref MH; El-Sharkawy YH
Photodiagnosis Photodyn Ther; 2020 Sep; 31():101922. PubMed ID: 32726640
[TBL] [Abstract][Full Text] [Related]
4. An Efficient Segmentation and Classification System in Medical Images Using Intuitionist Possibilistic Fuzzy C-Mean Clustering and Fuzzy SVM Algorithm.
Chowdhary CL; Mittal M; P K; Pattanaik PA; Marszalek Z
Sensors (Basel); 2020 Jul; 20(14):. PubMed ID: 32668793
[TBL] [Abstract][Full Text] [Related]
5. Modelling and numerical methods for identifying low-level adulteration in ground beef using near-infrared hyperspectral imaging (NIR-HSI).
Jia W; Ferragina A; Hamill R; Koidis A
Talanta; 2024 Aug; 276():126199. PubMed ID: 38714010
[TBL] [Abstract][Full Text] [Related]
6. Optimization of fuzzy c-means (FCM) clustering in cytology image segmentation using the gray wolf algorithm.
Mohammdian-Khoshnoud M; Soltanian AR; Dehghan A; Farhadian M
BMC Mol Cell Biol; 2022 Feb; 23(1):9. PubMed ID: 35168562
[TBL] [Abstract][Full Text] [Related]
7. Visible near infrared reflectance molecular chemical imaging of human ex vivo carcinomas and murine in vivo carcinomas.
Stewart S; Darr M; Gomer H; Smith A; Samiei A; Post JC; Miller RJ; Lyne J; Cohen J; Treado PJ
J Biomed Opt; 2020 Feb; 25(2):1-18. PubMed ID: 32096369
[TBL] [Abstract][Full Text] [Related]
8. Comparing visible and near infrared 'point' spectroscopy and hyperspectral imaging techniques to visualize the variability of apple firmness.
Wang Z; Ding F; Ge Y; Wang M; Zuo C; Song J; Tu K; Lan W; Pan L
Spectrochim Acta A Mol Biomol Spectrosc; 2024 Aug; 316():124344. PubMed ID: 38688212
[TBL] [Abstract][Full Text] [Related]
9. Hyperspectral dark-field microscopy of human breast lumpectomy samples for tumor margin detection in breast-conserving surgery.
Hwang J; Cheney P; Kanick SC; Le HND; McClatchy DM; Zhang H; Liu N; John Lu ZQ; Cho TJ; Briggman K; Allen DW; Wells WA; Pogue BW
J Biomed Opt; 2024 Sep; 29(9):093503. PubMed ID: 38715717
[TBL] [Abstract][Full Text] [Related]
10. Gastric cancer diagnosis using hyperspectral imaging with principal component analysis and spectral angle mapper.
Liu N; Guo Y; Jiang H; Yi W
J Biomed Opt; 2020 Jun; 25(6):1-9. PubMed ID: 32594664
[TBL] [Abstract][Full Text] [Related]
11. Detection and identification of Cannabis sativa L. using near infrared hyperspectral imaging and machine learning methods. A feasibility study.
Pereira JFQ; Pimentel MF; Amigo JM; Honorato RS
Spectrochim Acta A Mol Biomol Spectrosc; 2020 Aug; 237():118385. PubMed ID: 32348921
[TBL] [Abstract][Full Text] [Related]
12. Comparison of hyperspectral imaging and spectrometers for prediction of cheeses composition.
da Silva Medeiros ML; Moreira de Carvalho L; Madruga MS; Rodríguez-Pulido FJ; Heredia FJ; Fernandes Barbin D
Food Res Int; 2024 May; 183():114242. PubMed ID: 38760121
[TBL] [Abstract][Full Text] [Related]
13. Near-Infrared Hyperspectral Imaging as a Monitoring Tool for On-Demand Manufacturing of Inkjet-Printed Formulations.
Stranzinger S; Wolfgang M; Klotz E; Scheibelhofer O; Ghiotti P; Khinast JG; Hsiao WK; Paudel A
AAPS PharmSciTech; 2021 Aug; 22(6):211. PubMed ID: 34374899
[TBL] [Abstract][Full Text] [Related]
14. Near-infrared hyperspectral imaging and robust statistics for in vivo non-melanoma skin cancer and actinic keratosis characterisation.
Courtenay LA; Barbero-García I; Martínez-Lastras S; Del Pozo S; Corral de la Calle M; Garrido A; Guerrero-Sevilla D; Hernandez-Lopez D; González-Aguilera D
PLoS One; 2024; 19(4):e0300400. PubMed ID: 38662718
[TBL] [Abstract][Full Text] [Related]
15. Blood cancer diagnosis using hyperspectral imaging combined with the forward searching method and machine learning.
Chen R; Luo T; Nie J; Chu Y
Anal Methods; 2023 Aug; 15(31):3885-3892. PubMed ID: 37503555
[TBL] [Abstract][Full Text] [Related]
16. Automatic segmentation of tumors in B-Mode breast ultrasound images using information gain based neutrosophic clustering.
Lal M; Kaur L; Gupta S
J Xray Sci Technol; 2018; 26(2):209-225. PubMed ID: 29154313
[TBL] [Abstract][Full Text] [Related]
17. Maturity Stage Discrimination of
Jiang H; Hu Y; Jiang X; Zhou H
Molecules; 2022 Sep; 27(19):. PubMed ID: 36234855
[TBL] [Abstract][Full Text] [Related]
18. Automatic detection of head and neck squamous cell carcinoma on histologic slides using hyperspectral microscopic imaging.
Ma L; Little JV; Chen AY; Myers L; Sumer BD; Fei B
J Biomed Opt; 2022 Apr; 27(4):. PubMed ID: 35484692
[TBL] [Abstract][Full Text] [Related]
19. Integration of spectral and textural features of visible and near-infrared hyperspectral imaging for differentiating between normal and white striping broiler breast meat.
Jiang H; Yoon SC; Zhuang H; Wang W; Li Y; Yang Y
Spectrochim Acta A Mol Biomol Spectrosc; 2019 Apr; 213():118-126. PubMed ID: 30684880
[TBL] [Abstract][Full Text] [Related]
20. Evaluating the identification of the extent of gastric cancer by over-1000 nm near-infrared hyperspectral imaging using surgical specimens.
Mitsui T; Mori A; Takamatsu T; Kadota T; Sato K; Fukushima R; Okubo K; Umezawa M; Takemura H; Yokota H; Kuwata T; Kinoshita T; Ikematsu H; Yano T; Maeda S; Soga K
J Biomed Opt; 2023 Aug; 28(8):086001. PubMed ID: 37614567
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]