234 related articles for article (PubMed ID: 36915334)
1. A deep learning model for lymph node metastasis prediction based on digital histopathological images of primary endometrial cancer.
Feng M; Zhao Y; Chen J; Zhao T; Mei J; Fan Y; Lin Z; Yao J; Bu H
Quant Imaging Med Surg; 2023 Mar; 13(3):1899-1913. PubMed ID: 36915334
[TBL] [Abstract][Full Text] [Related]
2. Identification of lymph node metastasis in pre-operation cervical cancer patients by weakly supervised deep learning from histopathological whole-slide biopsy images.
Liu Q; Jiang N; Hao Y; Hao C; Wang W; Bian T; Wang X; Li H; Zhang Y; Kang Y; Xie F; Li Y; Jiang X; Feng Y; Mao Z; Wang Q; Gao Q; Zhang W; Cui B; Dong T
Cancer Med; 2023 Sep; 12(17):17952-17966. PubMed ID: 37559500
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. A model for predicting lymph node metastasis of thyroid carcinoma: a multimodality convolutional neural network study.
Guang Y; Wan F; He W; Zhang W; Gan C; Dong P; Zhang H; Zhang Y
Quant Imaging Med Surg; 2023 Dec; 13(12):8370-8382. PubMed ID: 38106318
[TBL] [Abstract][Full Text] [Related]
5. Prediction of Lymph Node Metastasis in T1 Colorectal Cancer Using Artificial Intelligence with Hematoxylin and Eosin-Stained Whole-Slide-Images of Endoscopic and Surgical Resection Specimens.
Song JH; Kim ER; Hong Y; Sohn I; Ahn S; Kim SH; Jang KT
Cancers (Basel); 2024 May; 16(10):. PubMed ID: 38791978
[TBL] [Abstract][Full Text] [Related]
6. Prediction of lymph node metastasis in stage T1-2 rectal cancers with MRI-based deep learning.
Wan L; Hu J; Chen S; Zhao R; Peng W; Liu Y; Hu S; Zou S; Wang S; Zhao X; Zhang H
Eur Radiol; 2023 May; 33(5):3638-3646. PubMed ID: 36905470
[TBL] [Abstract][Full Text] [Related]
7. Fully Automated Identification of Lymph Node Metastases and Lymphovascular Invasion in Endometrial Cancer From Multi-Parametric MRI by Deep Learning.
Wang Y; Liu W; Lu Y; Ling R; Wang W; Li S; Zhang F; Ning Y; Chen X; Yang G; Zhang H
J Magn Reson Imaging; 2024 Mar; ():. PubMed ID: 38471960
[TBL] [Abstract][Full Text] [Related]
8. Development and validation of a machine learning model to predict the risk of lymph node metastasis in renal carcinoma.
Feng X; Hong T; Liu W; Xu C; Li W; Yang B; Song Y; Li T; Li W; Zhou H; Yin C
Front Endocrinol (Lausanne); 2022; 13():1054358. PubMed ID: 36465636
[TBL] [Abstract][Full Text] [Related]
9. Deep learning identifies inflamed fat as a risk factor for lymph node metastasis in early colorectal cancer.
Brockmoeller S; Echle A; Ghaffari Laleh N; Eiholm S; Malmstrøm ML; Plato Kuhlmann T; Levic K; Grabsch HI; West NP; Saldanha OL; Kouvidi K; Bono A; Heij LR; Brinker TJ; Gögenür I; Quirke P; Kather JN
J Pathol; 2022 Mar; 256(3):269-281. PubMed ID: 34738636
[TBL] [Abstract][Full Text] [Related]
10. Deep learning to predict cervical lymph node metastasis from intraoperative frozen section of tumour in papillary thyroid carcinoma: a multicentre diagnostic study.
Liu Y; Lai F; Lin B; Gu Y; Chen L; Chen G; Xiao H; Luo S; Pang Y; Xiong D; Li B; Peng S; Lv W; Alexander EK; Xiao H
EClinicalMedicine; 2023 Jun; 60():102007. PubMed ID: 37251623
[TBL] [Abstract][Full Text] [Related]
11. Prediction of lymph node metastasis in operable cervical cancer using clinical parameters and deep learning with MRI data: a multicentre study.
Qin F; Sun X; Tian M; Jin S; Yu J; Song J; Wen F; Xu H; Yu T; Dong Y
Insights Imaging; 2024 Feb; 15(1):56. PubMed ID: 38411729
[TBL] [Abstract][Full Text] [Related]
12. Whole slide image-based prediction of lymph node metastasis in T1 colorectal cancer using unsupervised artificial intelligence.
Takashina Y; Kudo SE; Kouyama Y; Ichimasa K; Miyachi H; Mori Y; Kudo T; Maeda Y; Ogawa Y; Hayashi T; Wakamura K; Enami Y; Sawada N; Baba T; Nemoto T; Ishida F; Misawa M
Dig Endosc; 2023 Nov; 35(7):902-908. PubMed ID: 36905308
[TBL] [Abstract][Full Text] [Related]
13. Combining Clinicopathological Parameters and Molecular Indicators to Predict Lymph Node Metastasis in Endometrioid Type Endometrial Adenocarcinoma.
Jiang P; Huang Y; Tu Y; Li N; Kong W; Di F; Jiang S; Zhang J; Yi Q; Yuan R
Front Oncol; 2021; 11():682925. PubMed ID: 34422634
[TBL] [Abstract][Full Text] [Related]
14. Predicting lymph node metastasis in colorectal cancer: An analysis of influencing factors to develop a risk model.
Lei YP; Song QZ; Liu S; Xie JY; Lv GQ
World J Gastrointest Surg; 2023 Oct; 15(10):2234-2246. PubMed ID: 37969707
[TBL] [Abstract][Full Text] [Related]
15. Diagnostic Accuracy of Clinical Biomarkers for Preoperative Prediction of Lymph Node Metastasis in Endometrial Carcinoma: A Systematic Review and Meta-Analysis.
Reijnen C; IntHout J; Massuger LFAG; Strobbe F; Küsters-Vandevelde HVN; Haldorsen IS; Snijders MPLM; Pijnenborg JMA
Oncologist; 2019 Sep; 24(9):e880-e890. PubMed ID: 31186375
[TBL] [Abstract][Full Text] [Related]
16. A radio-pathologic integrated model for prediction of lymph node metastasis stage in patients with gastric cancer.
Zhao Y; Li L; Han K; Li T; Duan J; Sun Q; Zhu C; Liang D; Chai N; Li ZC
Abdom Radiol (NY); 2023 Nov; 48(11):3332-3342. PubMed ID: 37716926
[TBL] [Abstract][Full Text] [Related]
17. An artificial intelligence model for detecting pathological lymph node metastasis in prostate cancer using whole slide images: a retrospective, multicentre, diagnostic study.
Wu S; Wang Y; Hong G; Luo Y; Lin Z; Shen R; Zeng H; Xu A; Wu P; Xiao M; Li X; Rao P; Yang Q; Feng Z; He Q; Jiang F; Xie Y; Liao C; Huang X; Chen R; Lin T
EClinicalMedicine; 2024 May; 71():102580. PubMed ID: 38618206
[TBL] [Abstract][Full Text] [Related]
18. Preoperative Prediction of Lymph Node Metastasis in Colorectal Cancer with Deep Learning.
Liu H; Zhao Y; Yang F; Lou X; Wu F; Li H; Xing X; Peng T; Menze B; Huang J; Zhang S; Han A; Yao J; Fan X
BME Front; 2022; 2022():9860179. PubMed ID: 37850180
[No Abstract] [Full Text] [Related]
19. Deep learning radiomics of ultrasonography for comprehensively predicting tumor and axillary lymph node status after neoadjuvant chemotherapy in breast cancer patients: A multicenter study.
Gu J; Tong T; Xu D; Cheng F; Fang C; He C; Wang J; Wang B; Yang X; Wang K; Tian J; Jiang T
Cancer; 2023 Feb; 129(3):356-366. PubMed ID: 36401611
[TBL] [Abstract][Full Text] [Related]
20. An Externally Validated Nomogram for Predicting Lymph Node Metastasis of Presumed Stage I and II Endometrial Cancer.
Dong Y; Cheng Y; Tian W; Zhang H; Wang Z; Li X; Shan B; Ren Y; Wei L; Wang H; Wang J
Front Oncol; 2019; 9():1218. PubMed ID: 31799187
[No Abstract] [Full Text] [Related]
[Next] [New Search]