143 related articles for article (PubMed ID: 37850180)
1. 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]
2. 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]
3. 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]
4. 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]
5. 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]
6. 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]
7. 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]
8. Proteomic characteristics reveal the signatures and the risks of T1 colorectal cancer metastasis to lymph nodes.
Zhuang A; Zhuang A; Chen Y; Qin Z; Zhu D; Ren L; Wei Y; Zhou P; Yue X; He F; Xu J; Ding C
Elife; 2023 May; 12():. PubMed ID: 37158593
[TBL] [Abstract][Full Text] [Related]
9. Deep learning radiomics model related with genomics phenotypes for lymph node metastasis prediction in colorectal cancer.
Zhao J; Wang H; Zhang Y; Wang R; Liu Q; Li J; Li X; Huang H; Zhang J; Zeng Z; Zhang J; Yi Z; Zeng F
Radiother Oncol; 2022 Feb; 167():195-202. PubMed ID: 34968471
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. An exosome-based liquid biopsy signature for pre-operative identification of lymph node metastasis in patients with pathological high-risk T1 colorectal cancer.
Miyazaki K; Wada Y; Okuno K; Murano T; Morine Y; Ikemoto T; Saito Y; Ikematsu H; Kinugasa Y; Shimada M; Goel A
Mol Cancer; 2023 Jan; 22(1):2. PubMed ID: 36609320
[TBL] [Abstract][Full Text] [Related]
12. Prediction of lymph node metastasis in early colorectal cancer based on histologic images by artificial intelligence.
Takamatsu M; Yamamoto N; Kawachi H; Nakano K; Saito S; Fukunaga Y; Takeuchi K
Sci Rep; 2022 Feb; 12(1):2963. PubMed ID: 35194184
[TBL] [Abstract][Full Text] [Related]
13.
Xue XQ; Yu WJ; Shi X; Shao XL; Wang YT
Front Oncol; 2022; 12():911168. PubMed ID: 36003788
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. Analysis of risk factors for lymph node metastasis and prognosis study in patients with early gastric cancer: A SEER data-based study.
Li J; Cui T; Huang Z; Mu Y; Yao Y; Xu W; Chen K; Liu H; Wang W; Chen X
Front Oncol; 2023; 13():1062142. PubMed ID: 37007147
[TBL] [Abstract][Full Text] [Related]
16. Novel "resect and analysis" approach for T2 colorectal cancer with use of artificial intelligence.
Ichimasa K; Nakahara K; Kudo SE; Misawa M; Bretthauer M; Shimada S; Takehara Y; Mukai S; Kouyama Y; Miyachi H; Sawada N; Mori K; Ishida F; Mori Y
Gastrointest Endosc; 2022 Oct; 96(4):665-672.e1. PubMed ID: 35500659
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. Pilot Study to Establish a Novel Five-Gene Biomarker Panel for Predicting Lymph Node Metastasis in Patients With Early Stage Endometrial Cancer.
Huang CY; Liao KW; Chou CH; Shrestha S; Yang CD; Chiew MY; Huang HT; Hong HC; Huang SH; Chang TH; Huang HD
Front Oncol; 2019; 9():1508. PubMed ID: 32039004
[No Abstract] [Full Text] [Related]
19. Radiomics signature based on computed tomography images for the preoperative prediction of lymph node metastasis at individual stations in gastric cancer: A multicenter study.
Sun Z; Jiang Y; Chen C; Zheng H; Huang W; Xu B; Tang W; Yuan Q; Zhou K; Liang X; Chen H; Han Z; Feng H; Yu S; Hu Y; Yu J; Zhou Z; Wang W; Xu Y; Li G
Radiother Oncol; 2021 Dec; 165():179-190. PubMed ID: 34774652
[TBL] [Abstract][Full Text] [Related]
20. Analysis of Associated Factors, Construction, and Application of a Predictive Model for Lymph Node Metastasis in Colorectal Cancer.
Yang D; Wu B; Liu J; Li W; Wang R; Shi Y
Altern Ther Health Med; 2024 Apr; ():. PubMed ID: 38581324
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]