168 related articles for article (PubMed ID: 35898183)
1. 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]
2. Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer.
Ehteshami Bejnordi B; Veta M; Johannes van Diest P; van Ginneken B; Karssemeijer N; Litjens G; van der Laak JAWM; ; Hermsen M; Manson QF; Balkenhol M; Geessink O; Stathonikos N; van Dijk MC; Bult P; Beca F; Beck AH; Wang D; Khosla A; Gargeya R; Irshad H; Zhong A; Dou Q; Li Q; Chen H; Lin HJ; Heng PA; Haß C; Bruni E; Wong Q; Halici U; Öner MÜ; Cetin-Atalay R; Berseth M; Khvatkov V; Vylegzhanin A; Kraus O; Shaban M; Rajpoot N; Awan R; Sirinukunwattana K; Qaiser T; Tsang YW; Tellez D; Annuscheit J; Hufnagl P; Valkonen M; Kartasalo K; Latonen L; Ruusuvuori P; Liimatainen K; Albarqouni S; Mungal B; George A; Demirci S; Navab N; Watanabe S; Seno S; Takenaka Y; Matsuda H; Ahmady Phoulady H; Kovalev V; Kalinovsky A; Liauchuk V; Bueno G; Fernandez-Carrobles MM; Serrano I; Deniz O; Racoceanu D; Venâncio R
JAMA; 2017 Dec; 318(22):2199-2210. PubMed ID: 29234806
[TBL] [Abstract][Full Text] [Related]
3. Clinical utility of artificial intelligence assistance in histopathologic review of lymph node metastasis for gastric adenocarcinoma.
Matsushima J; Sato T; Yoshimura Y; Mizutani H; Koto S; Matsusaka K; Ikeda JI; Sato T; Fujii A; Ono Y; Mitsui T; Ban S; Matsubara H; Hayashi H
Int J Clin Oncol; 2023 Aug; 28(8):1033-1042. PubMed ID: 37256523
[TBL] [Abstract][Full Text] [Related]
4. Predicting Lymph Node Metastasis From Primary Cervical Squamous Cell Carcinoma Based on Deep Learning in Histopathologic Images.
Guo Q; Qu L; Zhu J; Li H; Wu Y; Wang S; Yu M; Wu J; Wen H; Ju X; Wang X; Bi R; Shi Y; Wu X
Mod Pathol; 2023 Dec; 36(12):100316. PubMed ID: 37634868
[TBL] [Abstract][Full Text] [Related]
5. Computer-Assisted Diagnosis of Lymph Node Metastases in Colorectal Cancers Using Transfer Learning With an Ensemble Model.
Khan A; Brouwer N; Blank A; Müller F; Soldini D; Noske A; Gaus E; Brandt S; Nagtegaal I; Dawson H; Thiran JP; Perren A; Lugli A; Zlobec I
Mod Pathol; 2023 May; 36(5):100118. PubMed ID: 36805793
[TBL] [Abstract][Full Text] [Related]
6. Artificial Intelligence-Based Breast Cancer Nodal Metastasis Detection: Insights Into the Black Box for Pathologists.
Liu Y; Kohlberger T; Norouzi M; Dahl GE; Smith JL; Mohtashamian A; Olson N; Peng LH; Hipp JD; Stumpe MC
Arch Pathol Lab Med; 2019 Jul; 143(7):859-868. PubMed ID: 30295070
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. Artificial Intelligence-Aided Diagnosis of Breast Cancer Lymph Node Metastasis on Histologic Slides in a Digital Workflow.
Challa B; Tahir M; Hu Y; Kellough D; Lujan G; Sun S; Parwani AV; Li Z
Mod Pathol; 2023 Aug; 36(8):100216. PubMed ID: 37178923
[TBL] [Abstract][Full Text] [Related]
9. A Deep Neural Network-Based Decision Support Tool for the Detection of Lymph Node Metastases in Colorectal Cancer Specimens.
Kindler C; Elfwing S; Öhrvik J; Nikberg M
Mod Pathol; 2023 Feb; 36(2):100015. PubMed ID: 36853787
[TBL] [Abstract][Full Text] [Related]
10. Deep learning detection of melanoma metastases in lymph nodes.
Jansen P; Baguer DO; Duschner N; Arrastia JL; Schmidt M; Landsberg J; Wenzel J; Schadendorf D; Hadaschik E; Maass P; Schaller J; Griewank KG
Eur J Cancer; 2023 Jul; 188():161-170. PubMed ID: 37257277
[TBL] [Abstract][Full Text] [Related]
11. Identification of nodal micrometastasis in colorectal cancer using deep learning on annotation-free whole-slide images.
Chuang WY; Chen CC; Yu WH; Yeh CJ; Chang SH; Ueng SH; Wang TH; Hsueh C; Kuo CF; Yeh CY
Mod Pathol; 2021 Oct; 34(10):1901-1911. PubMed ID: 34103664
[TBL] [Abstract][Full Text] [Related]
12. [Clinical application of convolutional neural network in pathological diagnosis of metastatic lymph nodes of gastric cancer].
Wang SZ; Wang JG; Lu Y; Zhang YJ; Xin FJ; Liu SL; Zhang XX; Liu GW; Li S; Sui D; Wang DS
Zhonghua Wai Ke Za Zhi; 2019 Dec; 57(12):934-938. PubMed ID: 31826599
[No Abstract] [Full Text] [Related]
13. 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]
14. Challenge for Diagnostic Assessment of Deep Learning Algorithm for Metastases Classification in Sentinel Lymph Nodes on Frozen Tissue Section Digital Slides in Women with Breast Cancer.
Kim YG; Song IH; Lee H; Kim S; Yang DH; Kim N; Shin D; Yoo Y; Lee K; Kim D; Jung H; Cho H; Lee H; Kim T; Choi JH; Seo C; Han SI; Lee YJ; Lee YS; Yoo HR; Lee Y; Park JH; Oh S; Gong G
Cancer Res Treat; 2020 Oct; 52(4):1103-1111. PubMed ID: 32599974
[TBL] [Abstract][Full Text] [Related]
15. Detection of Lung Cancer Lymph Node Metastases from Whole-Slide Histopathologic Images Using a Two-Step Deep Learning Approach.
Pham HHN; Futakuchi M; Bychkov A; Furukawa T; Kuroda K; Fukuoka J
Am J Pathol; 2019 Dec; 189(12):2428-2439. PubMed ID: 31541645
[TBL] [Abstract][Full Text] [Related]
16. Artificial intelligence-based model for lymph node metastases detection on whole slide images in bladder cancer: a retrospective, multicentre, diagnostic study.
Wu S; Hong G; Xu A; Zeng H; Chen X; Wang Y; Luo Y; Wu P; Liu C; Jiang N; Dang Q; Yang C; Liu B; Shen R; Chen Z; Liao C; Lin Z; Wang J; Lin T
Lancet Oncol; 2023 Apr; 24(4):360-370. PubMed ID: 36893772
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. [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]
19. Predicting gastric cancer outcome from resected lymph node histopathology images using deep learning.
Wang X; Chen Y; Gao Y; Zhang H; Guan Z; Dong Z; Zheng Y; Jiang J; Yang H; Wang L; Huang X; Ai L; Yu W; Li H; Dong C; Zhou Z; Liu X; Yu G
Nat Commun; 2021 Mar; 12(1):1637. PubMed ID: 33712598
[TBL] [Abstract][Full Text] [Related]
20. Impact of Deep Learning Assistance on the Histopathologic Review of Lymph Nodes for Metastatic Breast Cancer.
Steiner DF; MacDonald R; Liu Y; Truszkowski P; Hipp JD; Gammage C; Thng F; Peng L; Stumpe MC
Am J Surg Pathol; 2018 Dec; 42(12):1636-1646. PubMed ID: 30312179
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]