135 related articles for article (PubMed ID: 38049475)
1. Deep UV-excited fluorescence microscopy installed with CycleGAN-assisted image translation enhances precise detection of lymph node metastasis towards rapid intraoperative diagnosis.
Sato J; Matsumoto T; Nakao R; Tanaka H; Nagahara H; Niioka H; Takamatsu T
Sci Rep; 2023 Dec; 13(1):21363. PubMed ID: 38049475
[TBL] [Abstract][Full Text] [Related]
2. Deep-UV excitation fluorescence microscopy for detection of lymph node metastasis using deep neural network.
Matsumoto T; Niioka H; Kumamoto Y; Sato J; Inamori O; Nakao R; Harada Y; Konishi E; Otsuji E; Tanaka H; Miyake J; Takamatsu T
Sci Rep; 2019 Nov; 9(1):16912. PubMed ID: 31729459
[TBL] [Abstract][Full Text] [Related]
3. Rapid histopathological imaging of skin and breast cancer surgical specimens using immersion microscopy with ultraviolet surface excitation.
Yoshitake T; Giacomelli MG; Quintana LM; Vardeh H; Cahill LC; Faulkner-Jones BE; Connolly JL; Do D; Fujimoto JG
Sci Rep; 2018 Mar; 8(1):4476. PubMed ID: 29540700
[TBL] [Abstract][Full Text] [Related]
4. Analysis of Deep Ultraviolet Fluorescence Images for Intraoperative Breast Tumor Margin Assessment.
Lu T; Jorns JM; Ye DH; Patton M; Gilat-Schmidt T; Yen T; Yu B
Proc SPIE Int Soc Opt Eng; 2023; 12368():. PubMed ID: 37292087
[TBL] [Abstract][Full Text] [Related]
5. Learning low-dose CT degradation from unpaired data with flow-based model.
Liu X; Liang X; Deng L; Tan S; Xie Y
Med Phys; 2022 Dec; 49(12):7516-7530. PubMed ID: 35880375
[TBL] [Abstract][Full Text] [Related]
6. Deep-learning-assisted microscopy with ultraviolet surface excitation for rapid slide-free histological imaging.
Chen Z; Yu W; Wong IHM; Wong TTW
Biomed Opt Express; 2021 Sep; 12(9):5920-5938. PubMed ID: 34692225
[TBL] [Abstract][Full Text] [Related]
7. Microscopy with ultraviolet surface excitation (MUSE): A novel approach to real-time inexpensive slide-free dermatopathology.
Qorbani A; Fereidouni F; Levenson R; Lahoubi SY; Harmany ZT; Todd A; Fung MA
J Cutan Pathol; 2018 Jul; 45(7):498-503. PubMed ID: 29660167
[TBL] [Abstract][Full Text] [Related]
8. The Use of Deep Learning-Based Computer Diagnostic Algorithm for Detection of Lymph Node Metastases of Gastric Adenocarcinoma.
Matsushima J; Sato T; Ohnishi T; Yoshimura Y; Mizutani H; Koto S; Ikeda JI; Kano M; Matsubara H; Hayashi H
Int J Surg Pathol; 2023 Sep; 31(6):975-981. PubMed ID: 35898183
[No Abstract] [Full Text] [Related]
9. Colorectal cancer lymph node metastasis prediction with weakly supervised transformer-based multi-instance learning.
Tan L; Li H; Yu J; Zhou H; Wang Z; Niu Z; Li J; Li Z
Med Biol Eng Comput; 2023 Jun; 61(6):1565-1580. PubMed ID: 36809427
[TBL] [Abstract][Full Text] [Related]
10. [High definition MRI rectal lymph node aided diagnostic system based on deep neural network].
Zhou YP; Li S; Zhang XX; Zhang ZD; Gao YX; Ding L; Lu Y
Zhonghua Wai Ke Za Zhi; 2019 Feb; 57(2):108-113. PubMed ID: 30704213
[No Abstract] [Full Text] [Related]
11. Neuropathological Applications of Microscopy with Ultraviolet Surface Excitation (MUSE): A Concordance Study of Human Primary and Metastatic Brain Tumors.
Lechpammer M; Todd A; Tang V; Morningstar T; Borowsky A; Shahlaie K; Kintner JA; McPherson JD; Bishop JW; Fereidouni F; Harmany ZT; Coley N; Zagzag D; Wong JWH; Tao J; Hesson LB; Burnett L; Levenson R
Brain Sci; 2024 Jan; 14(1):. PubMed ID: 38275528
[TBL] [Abstract][Full Text] [Related]
12. Detection of breast cancer lymph node metastases in frozen sections with a point-of-care low-cost microscope scanner.
Holmström O; Linder N; Moilanen H; Suutala A; Nordling S; Ståhls A; Lundin M; Diwan V; Lundin J
PLoS One; 2019; 14(3):e0208366. PubMed ID: 30889174
[TBL] [Abstract][Full Text] [Related]
13. Novel rapid intraoperative qualitative tumor detection by a residual convolutional neural network using label-free stimulated Raman scattering microscopy.
Reinecke D; von Spreckelsen N; Mawrin C; Ion-Margineanu A; Fürtjes G; Jünger ST; Khalid F; Freudiger CW; Timmer M; Ruge MI; Goldbrunner R; Neuschmelting V
Acta Neuropathol Commun; 2022 Aug; 10(1):109. PubMed ID: 35933416
[TBL] [Abstract][Full Text] [Related]
14. Application of deep learning to the diagnosis of cervical lymph node metastasis from thyroid cancer with CT.
Lee JH; Ha EJ; Kim JH
Eur Radiol; 2019 Oct; 29(10):5452-5457. PubMed ID: 30877461
[TBL] [Abstract][Full Text] [Related]
15. Computer-aided diagnostic models to classify lymph node metastasis and lymphoma involvement in enlarged cervical lymph nodes using PET/CT.
Yang Y; Zheng B; Li Y; Li Y; Ma X
Med Phys; 2023 Jan; 50(1):152-162. PubMed ID: 35925871
[TBL] [Abstract][Full Text] [Related]
16. FFPE++: Improving the quality of formalin-fixed paraffin-embedded tissue imaging via contrastive unpaired image-to-image translation.
Kassab M; Jehanzaib M; Başak K; Demir D; Keles GE; Turan M
Med Image Anal; 2024 Jan; 91():102992. PubMed ID: 37852162
[TBL] [Abstract][Full Text] [Related]
17. Axillary lymph node metastasis status prediction of early-stage breast cancer using convolutional neural networks.
Lee YW; Huang CS; Shih CC; Chang RF
Comput Biol Med; 2021 Mar; 130():104206. PubMed ID: 33421823
[TBL] [Abstract][Full Text] [Related]
18. Axillary Lymph Node Evaluation Utilizing Convolutional Neural Networks Using MRI Dataset.
Ha R; Chang P; Karcich J; Mutasa S; Fardanesh R; Wynn RT; Liu MZ; Jambawalikar S
J Digit Imaging; 2018 Dec; 31(6):851-856. PubMed ID: 29696472
[TBL] [Abstract][Full Text] [Related]
19. Convolutional Neural Network Detection of Axillary Lymph Node Metastasis Using Standard Clinical Breast MRI.
Ren T; Cattell R; Duanmu H; Huang P; Li H; Vanguri R; Liu MZ; Jambawalikar S; Ha R; Wang F; Cohen J; Bernstein C; Bangiyev L; Duong TQ
Clin Breast Cancer; 2020 Jun; 20(3):e301-e308. PubMed ID: 32139272
[TBL] [Abstract][Full Text] [Related]
20. Intraoperative cytological diagnosis of brain tumours: A preliminary study using a deep learning model.
Ozer E; Bilecen AE; Ozer NB; Yanikoglu B
Cytopathology; 2023 Mar; 34(2):113-119. PubMed ID: 36458464
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]