73 related articles for article (PubMed ID: 38637299)
21. Artificial intelligence predicts lymph node metastasis or risk of lymph node metastasis in T1 colorectal cancer.
Kasahara K; Katsumata K; Saito A; Ishizaki T; Enomoto M; Mazaki J; Tago T; Nagakawa Y; Matsubayashi J; Nagao T; Hirano H; Kuroda M; Tsuchida A
Int J Clin Oncol; 2022 Oct; 27(10):1570-1579. PubMed ID: 35908272
[TBL] [Abstract][Full Text] [Related]
22. 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]
23. 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]
24. Swarm learning for decentralized artificial intelligence in cancer histopathology.
Saldanha OL; Quirke P; West NP; James JA; Loughrey MB; Grabsch HI; Salto-Tellez M; Alwers E; Cifci D; Ghaffari Laleh N; Seibel T; Gray R; Hutchins GGA; Brenner H; van Treeck M; Yuan T; Brinker TJ; Chang-Claude J; Khader F; Schuppert A; Luedde T; Trautwein C; Muti HS; Foersch S; Hoffmeister M; Truhn D; Kather JN
Nat Med; 2022 Jun; 28(6):1232-1239. PubMed ID: 35469069
[TBL] [Abstract][Full Text] [Related]
25. 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]
26. Federated learning for computational pathology on gigapixel whole slide images.
Lu MY; Chen RJ; Kong D; Lipkova J; Singh R; Williamson DFK; Chen TY; Mahmood F
Med Image Anal; 2022 Feb; 76():102298. PubMed ID: 34911013
[TBL] [Abstract][Full Text] [Related]
27. Machine learning revealed molecular classification of colorectal cancer with negative lymph node metastasis.
Liu L; Liu J; Wang J; Yuan W
Biomarkers; 2022 Feb; 27(1):86-94. PubMed ID: 34894932
[No Abstract] [Full Text] [Related]
28. 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]
29. Radiogenomics of gastroenterological cancer: The dawn of personalized medicine with artificial intelligence-based image analysis.
Hoshino I; Yokota H
Ann Gastroenterol Surg; 2021 Jul; 5(4):427-435. PubMed ID: 34337291
[TBL] [Abstract][Full Text] [Related]
30. The PRISMA 2020 statement: An updated guideline for reporting systematic reviews.
Page MJ; McKenzie JE; Bossuyt PM; Boutron I; Hoffmann TC; Mulrow CD; Shamseer L; Tetzlaff JM; Akl EA; Brennan SE; Chou R; Glanville J; Grimshaw JM; Hróbjartsson A; Lalu MM; Li T; Loder EW; Mayo-Wilson E; McDonald S; McGuinness LA; Stewart LA; Thomas J; Tricco AC; Welch VA; Whiting P; Moher D
Int J Surg; 2021 Apr; 88():105906. PubMed ID: 33789826
[TBL] [Abstract][Full Text] [Related]
31. Deep Convolutional Neural Network-Based Lymph Node Metastasis Prediction for Colon Cancer Using Histopathological Images.
Kwak MS; Lee HH; Yang JM; Cha JM; Jeon JW; Yoon JY; Kim HI
Front Oncol; 2020; 10():619803. PubMed ID: 33520727
[TBL] [Abstract][Full Text] [Related]
32. LASSO-Based Machine Learning Algorithm for Prediction of Lymph Node Metastasis in T1 Colorectal Cancer.
Kang J; Choi YJ; Kim IK; Lee HS; Kim H; Baik SH; Kim NK; Lee KY
Cancer Res Treat; 2021 Jul; 53(3):773-783. PubMed ID: 33421980
[TBL] [Abstract][Full Text] [Related]
33. Artificial Intelligence-Based Multiclass Classification of Benign or Malignant Mucosal Lesions of the Stomach.
Ma B; Guo Y; Hu W; Yuan F; Zhu Z; Yu Y; Zou H
Front Pharmacol; 2020; 11():572372. PubMed ID: 33132910
[TBL] [Abstract][Full Text] [Related]
34. Artificial Intelligence System to Determine Risk of T1 Colorectal Cancer Metastasis to Lymph Node.
Kudo SE; Ichimasa K; Villard B; Mori Y; Misawa M; Saito S; Hotta K; Saito Y; Matsuda T; Yamada K; Mitani T; Ohtsuka K; Chino A; Ide D; Imai K; Kishida Y; Nakamura K; Saiki Y; Tanaka M; Hoteya S; Yamashita S; Kinugasa Y; Fukuda M; Kudo T; Miyachi H; Ishida F; Itoh H; Oda M; Mori K
Gastroenterology; 2021 Mar; 160(4):1075-1084.e2. PubMed ID: 32979355
[TBL] [Abstract][Full Text] [Related]
35. Whole slide images based cancer survival prediction using attention guided deep multiple instance learning networks.
Yao J; Zhu X; Jonnagaddala J; Hawkins N; Huang J
Med Image Anal; 2020 Oct; 65():101789. PubMed ID: 32739769
[TBL] [Abstract][Full Text] [Related]
36. Deep learning-based survival prediction for multiple cancer types using histopathology images.
Wulczyn E; Steiner DF; Xu Z; Sadhwani A; Wang H; Flament-Auvigne I; Mermel CH; Chen PC; Liu Y; Stumpe MC
PLoS One; 2020; 15(6):e0233678. PubMed ID: 32555646
[TBL] [Abstract][Full Text] [Related]
37. Deep learning for prediction of colorectal cancer outcome: a discovery and validation study.
Skrede OJ; De Raedt S; Kleppe A; Hveem TS; Liestøl K; Maddison J; Askautrud HA; Pradhan M; Nesheim JA; Albregtsen F; Farstad IN; Domingo E; Church DN; Nesbakken A; Shepherd NA; Tomlinson I; Kerr R; Novelli M; Kerr DJ; Danielsen HE
Lancet; 2020 Feb; 395(10221):350-360. PubMed ID: 32007170
[TBL] [Abstract][Full Text] [Related]
38. Prediction of early colorectal cancer metastasis by machine learning using digital slide images.
Takamatsu M; Yamamoto N; Kawachi H; Chino A; Saito S; Ueno M; Ishikawa Y; Takazawa Y; Takeuchi K
Comput Methods Programs Biomed; 2019 Sep; 178():155-161. PubMed ID: 31416544
[TBL] [Abstract][Full Text] [Related]
39. An augmented reality microscope with real-time artificial intelligence integration for cancer diagnosis.
Chen PC; Gadepalli K; MacDonald R; Liu Y; Kadowaki S; Nagpal K; Kohlberger T; Dean J; Corrado GS; Hipp JD; Mermel CH; Stumpe MC
Nat Med; 2019 Sep; 25(9):1453-1457. PubMed ID: 31406351
[TBL] [Abstract][Full Text] [Related]
40. Japanese Society for Cancer of the Colon and Rectum (JSCCR) guidelines 2019 for the treatment of colorectal cancer.
Hashiguchi Y; Muro K; Saito Y; Ito Y; Ajioka Y; Hamaguchi T; Hasegawa K; Hotta K; Ishida H; Ishiguro M; Ishihara S; Kanemitsu Y; Kinugasa Y; Murofushi K; Nakajima TE; Oka S; Tanaka T; Taniguchi H; Tsuji A; Uehara K; Ueno H; Yamanaka T; Yamazaki K; Yoshida M; Yoshino T; Itabashi M; Sakamaki K; Sano K; Shimada Y; Tanaka S; Uetake H; Yamaguchi S; Yamaguchi N; Kobayashi H; Matsuda K; Kotake K; Sugihara K;
Int J Clin Oncol; 2020 Jan; 25(1):1-42. PubMed ID: 31203527
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]