124 related articles for article (PubMed ID: 37482265)
1. Development of a deep learning-based model to diagnose mixed-type gastric cancer accurately.
Ning X; Liu R; Wang N; Xiao X; Wu S; Wang Y; Yi C; He Y; Li D; Chen H
Int J Biochem Cell Biol; 2023 Sep; 162():106452. PubMed ID: 37482265
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. [Establishment of artificial neural network model for predicting lymph node metastasis in patients with stage Ⅱ-Ⅲ gastric cancer].
Xue Z; Lu J; Lin J; Huang CM; Li P; Xie JW; Wang JB; Lin JX; Chen QY; Zheng CH
Zhonghua Wei Chang Wai Ke Za Zhi; 2022 Apr; 25(4):327-335. PubMed ID: 35461201
[No Abstract] [Full Text] [Related]
4. Mixed-histologic-type submucosal invasive gastric cancer as a risk factor for lymph node metastasis: feasibility of endoscopic submucosal dissection.
Hanaoka N; Tanabe S; Mikami T; Okayasu I; Saigenji K
Endoscopy; 2009 May; 41(5):427-32. PubMed ID: 19418397
[TBL] [Abstract][Full Text] [Related]
5. Dual-energy CT-based deep learning radiomics can improve lymph node metastasis risk prediction for gastric cancer.
Li J; Dong D; Fang M; Wang R; Tian J; Li H; Gao J
Eur Radiol; 2020 Apr; 30(4):2324-2333. PubMed ID: 31953668
[TBL] [Abstract][Full Text] [Related]
6. Computed Tomography-Based Deep Learning Nomogram Can Accurately Predict Lymph Node Metastasis in Gastric Cancer.
Guan X; Lu N; Zhang J
Dig Dis Sci; 2023 Apr; 68(4):1473-1481. PubMed ID: 35909203
[TBL] [Abstract][Full Text] [Related]
7. Machine learning-based gray-level co-occurrence matrix signature for predicting lymph node metastasis in undifferentiated-type early gastric cancer.
Wei X; Yan XJ; Guo YY; Zhang J; Wang GR; Fayyaz A; Yu J
World J Gastroenterol; 2022 Sep; 28(36):5338-5350. PubMed ID: 36185632
[TBL] [Abstract][Full Text] [Related]
8. Deep learning system for lymph node quantification and metastatic cancer identification from whole-slide pathology images.
Hu Y; Su F; Dong K; Wang X; Zhao X; Jiang Y; Li J; Ji J; Sun Y
Gastric Cancer; 2021 Jul; 24(4):868-877. PubMed ID: 33484355
[TBL] [Abstract][Full Text] [Related]
9. Support vector machine model for diagnosis of lymph node metastasis in gastric cancer with multidetector computed tomography: a preliminary study.
Zhang XP; Wang ZL; Tang L; Sun YS; Cao K; Gao Y
BMC Cancer; 2011 Jan; 11():10. PubMed ID: 21223564
[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. Application of deep learning to the diagnosis of cervical lymph node metastasis from thyroid cancer with CT: external validation and clinical utility for resident training.
Lee JH; Ha EJ; Kim D; Jung YJ; Heo S; Jang YH; An SH; Lee K
Eur Radiol; 2020 Jun; 30(6):3066-3072. PubMed ID: 32065285
[TBL] [Abstract][Full Text] [Related]
12. Development of a Deep Learning Model to Identify Lymph Node Metastasis on Magnetic Resonance Imaging in Patients With Cervical Cancer.
Wu Q; Wang S; Zhang S; Wang M; Ding Y; Fang J; Wu Q; Qian W; Liu Z; Sun K; Jin Y; Ma H; Tian J
JAMA Netw Open; 2020 Jul; 3(7):e2011625. PubMed ID: 32706384
[TBL] [Abstract][Full Text] [Related]
13. Artificial intelligence for pre-operative lymph node staging in colorectal cancer: a systematic review and meta-analysis.
Bedrikovetski S; Dudi-Venkata NN; Kroon HM; Seow W; Vather R; Carneiro G; Moore JW; Sammour T
BMC Cancer; 2021 Sep; 21(1):1058. PubMed ID: 34565338
[TBL] [Abstract][Full Text] [Related]
14. Endoscopic and clinicopathological features of intramucosal, histologically mixed-type, low-grade, well-differentiated gastric tubular adenocarcinoma with the potential for late-onset lymph node metastasis.
Saitoh T; Takamura A; Watanabe G
BMC Gastroenterol; 2018 Dec; 18(1):189. PubMed ID: 30587141
[TBL] [Abstract][Full Text] [Related]
15. Utility of artificial intelligence with deep learning of hematoxylin and eosin-stained whole slide images to predict lymph node metastasis in T1 colorectal cancer using endoscopically resected specimens; prediction of lymph node metastasis in T1 colorectal cancer.
Song JH; Hong Y; Kim ER; Kim SH; Sohn I
J Gastroenterol; 2022 Sep; 57(9):654-666. PubMed ID: 35802259
[TBL] [Abstract][Full Text] [Related]
16. Segmentation of metastatic cervical lymph nodes from CT images of oral cancers using deep-learning technology.
Ariji Y; Kise Y; Fukuda M; Kuwada C; Ariji E
Dentomaxillofac Radiol; 2022 May; 51(4):20210515. PubMed ID: 35113725
[TBL] [Abstract][Full Text] [Related]
17. Histological mixed-type as an independent risk factor for nodal metastasis in submucosal gastric cancer.
Miyamae M; Komatsu S; Ichikawa D; Kosuga T; Kubota T; Okamoto K; Konishi H; Shiozaki A; Fujiwara H; Kishimoto M; Otsuji E
Tumour Biol; 2016 Jan; 37(1):709-14. PubMed ID: 26242270
[TBL] [Abstract][Full Text] [Related]
18. Preoperative prediction for lymph node metastasis in early gastric cancer by interpretable machine learning models: A multicenter study.
Zhu H; Wang G; Zheng J; Zhu H; Huang J; Luo E; Hu X; Wei Y; Wang C; Xu A; He X
Surgery; 2022 Jun; 171(6):1543-1551. PubMed ID: 35131110
[TBL] [Abstract][Full Text] [Related]
19. Deep learning analysis of the primary tumour and the prediction of lymph node metastases in gastric cancer.
Jin C; Jiang Y; Yu H; Wang W; Li B; Chen C; Yuan Q; Hu Y; Xu Y; Zhou Z; Li G; Li R
Br J Surg; 2021 May; 108(5):542-549. PubMed ID: 34043780
[TBL] [Abstract][Full Text] [Related]
20. [Predictive factors for lymph node metastasis in patients with poorly differentiated early gastric cancer].
Pang BR; Zhu ZL; Li C; Liu WT; KumarSah RD; Yan M; Zhu ZG
Zhonghua Wei Chang Wai Ke Za Zhi; 2019 May; 22(5):446-450. PubMed ID: 31104430
[No Abstract] [Full Text] [Related]
[Next] [New Search]