These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
255 related articles for article (PubMed ID: 30130758)
1. Endoscopic Diagnostic Support System for cT1b Colorectal Cancer Using Deep Learning. Ito N; Kawahira H; Nakashima H; Uesato M; Miyauchi H; Matsubara H Oncology; 2019; 96(1):44-50. PubMed ID: 30130758 [TBL] [Abstract][Full Text] [Related]
2. Automated classification of gastric neoplasms in endoscopic images using a convolutional neural network. Cho BJ; Bang CS; Park SW; Yang YJ; Seo SI; Lim H; Shin WG; Hong JT; Yoo YT; Hong SH; Choi JH; Lee JJ; Baik GH Endoscopy; 2019 Dec; 51(12):1121-1129. PubMed ID: 31443108 [TBL] [Abstract][Full Text] [Related]
3. Assessment of Automated Identification of Phases in Videos of Cataract Surgery Using Machine Learning and Deep Learning Techniques. Yu F; Silva Croso G; Kim TS; Song Z; Parker F; Hager GD; Reiter A; Vedula SS; Ali H; Sikder S JAMA Netw Open; 2019 Apr; 2(4):e191860. PubMed ID: 30951163 [TBL] [Abstract][Full Text] [Related]
4. Detection and diagnosis of dental caries using a deep learning-based convolutional neural network algorithm. Lee JH; Kim DH; Jeong SN; Choi SH J Dent; 2018 Oct; 77():106-111. PubMed ID: 30056118 [TBL] [Abstract][Full Text] [Related]
5. Deep Learning with Convolutional Neural Network for Differentiation of Liver Masses at Dynamic Contrast-enhanced CT: A Preliminary Study. Yasaka K; Akai H; Abe O; Kiryu S Radiology; 2018 Mar; 286(3):887-896. PubMed ID: 29059036 [TBL] [Abstract][Full Text] [Related]
6. Man against machine: diagnostic performance of a deep learning convolutional neural network for dermoscopic melanoma recognition in comparison to 58 dermatologists. Haenssle HA; Fink C; Schneiderbauer R; Toberer F; Buhl T; Blum A; Kalloo A; Hassen ABH; Thomas L; Enk A; Uhlmann L; ; Alt C; Arenbergerova M; Bakos R; Baltzer A; Bertlich I; Blum A; Bokor-Billmann T; Bowling J; Braghiroli N; Braun R; Buder-Bakhaya K; Buhl T; Cabo H; Cabrijan L; Cevic N; Classen A; Deltgen D; Fink C; Georgieva I; Hakim-Meibodi LE; Hanner S; Hartmann F; Hartmann J; Haus G; Hoxha E; Karls R; Koga H; Kreusch J; Lallas A; Majenka P; Marghoob A; Massone C; Mekokishvili L; Mestel D; Meyer V; Neuberger A; Nielsen K; Oliviero M; Pampena R; Paoli J; Pawlik E; Rao B; Rendon A; Russo T; Sadek A; Samhaber K; Schneiderbauer R; Schweizer A; Toberer F; Trennheuser L; Vlahova L; Wald A; Winkler J; Wölbing P; Zalaudek I Ann Oncol; 2018 Aug; 29(8):1836-1842. PubMed ID: 29846502 [TBL] [Abstract][Full Text] [Related]
7. Automatic detection of erosions and ulcerations in wireless capsule endoscopy images based on a deep convolutional neural network. Aoki T; Yamada A; Aoyama K; Saito H; Tsuboi A; Nakada A; Niikura R; Fujishiro M; Oka S; Ishihara S; Matsuda T; Tanaka S; Koike K; Tada T Gastrointest Endosc; 2019 Feb; 89(2):357-363.e2. PubMed ID: 30670179 [TBL] [Abstract][Full Text] [Related]
8. OCT-based deep learning algorithm for the evaluation of treatment indication with anti-vascular endothelial growth factor medications. Prahs P; Radeck V; Mayer C; Cvetkov Y; Cvetkova N; Helbig H; Märker D Graefes Arch Clin Exp Ophthalmol; 2018 Jan; 256(1):91-98. PubMed ID: 29127485 [TBL] [Abstract][Full Text] [Related]
9. Automatic detection and classification of protruding lesions in wireless capsule endoscopy images based on a deep convolutional neural network. Saito H; Aoki T; Aoyama K; Kato Y; Tsuboi A; Yamada A; Fujishiro M; Oka S; Ishihara S; Matsuda T; Nakahori M; Tanaka S; Koike K; Tada T Gastrointest Endosc; 2020 Jul; 92(1):144-151.e1. PubMed ID: 32084410 [TBL] [Abstract][Full Text] [Related]
10. Automatic detection of blood content in capsule endoscopy images based on a deep convolutional neural network. Aoki T; Yamada A; Kato Y; Saito H; Tsuboi A; Nakada A; Niikura R; Fujishiro M; Oka S; Ishihara S; Matsuda T; Nakahori M; Tanaka S; Koike K; Tada T J Gastroenterol Hepatol; 2020 Jul; 35(7):1196-1200. PubMed ID: 31758717 [TBL] [Abstract][Full Text] [Related]
11. Computer-Aided Diagnosis Based on Convolutional Neural Network System for Colorectal Polyp Classification: Preliminary Experience. Komeda Y; Handa H; Watanabe T; Nomura T; Kitahashi M; Sakurai T; Okamoto A; Minami T; Kono M; Arizumi T; Takenaka M; Hagiwara S; Matsui S; Nishida N; Kashida H; Kudo M Oncology; 2017; 93 Suppl 1():30-34. PubMed ID: 29258081 [TBL] [Abstract][Full Text] [Related]
12. Artificial intelligence and colon capsule endoscopy: development of an automated diagnostic system of protruding lesions in colon capsule endoscopy. Saraiva MM; Ferreira JPS; Cardoso H; Afonso J; Ribeiro T; Andrade P; Parente MPL; Jorge RN; Macedo G Tech Coloproctol; 2021 Nov; 25(11):1243-1248. PubMed ID: 34499277 [TBL] [Abstract][Full Text] [Related]
13. Prediction of Response to Stereotactic Radiosurgery for Brain Metastases Using Convolutional Neural Networks. Cha YJ; Jang WI; Kim MS; Yoo HJ; Paik EK; Jeong HK; Youn SM Anticancer Res; 2018 Sep; 38(9):5437-5445. PubMed ID: 30194200 [TBL] [Abstract][Full Text] [Related]
14. Deep Convolutional Neural Networks for Endotracheal Tube Position and X-ray Image Classification: Challenges and Opportunities. Lakhani P J Digit Imaging; 2017 Aug; 30(4):460-468. PubMed ID: 28600640 [TBL] [Abstract][Full Text] [Related]
15. Deep Learning Algorithms with Demographic Information Help to Detect Tuberculosis in Chest Radiographs in Annual Workers' Health Examination Data. Heo SJ; Kim Y; Yun S; Lim SS; Kim J; Nam CM; Park EC; Jung I; Yoon JH Int J Environ Res Public Health; 2019 Jan; 16(2):. PubMed ID: 30654560 [TBL] [Abstract][Full Text] [Related]
16. Automatic anatomical classification of esophagogastroduodenoscopy images using deep convolutional neural networks. Takiyama H; Ozawa T; Ishihara S; Fujishiro M; Shichijo S; Nomura S; Miura M; Tada T Sci Rep; 2018 May; 8(1):7497. PubMed ID: 29760397 [TBL] [Abstract][Full Text] [Related]
17. Differential diagnosis for esophageal protruded lesions using a deep convolution neural network in endoscopic images. Zhang M; Zhu C; Wang Y; Kong Z; Hua Y; Zhang W; Si X; Ye B; Xu X; Li L; Heng D; Liu B; Tian S; Wu J; Dang Y; Zhang G Gastrointest Endosc; 2021 Jun; 93(6):1261-1272.e2. PubMed ID: 33065026 [TBL] [Abstract][Full Text] [Related]
18. Development of Deep Learning Algorithm for Detection of Colorectal Cancer in EHR Data. Wang YH; Nguyen PA; Islam MM; Li YC; Yang HC Stud Health Technol Inform; 2019 Aug; 264():438-441. PubMed ID: 31437961 [TBL] [Abstract][Full Text] [Related]
19. Accurate Classification of Diminutive Colorectal Polyps Using Computer-Aided Analysis. Chen PJ; Lin MC; Lai MJ; Lin JC; Lu HH; Tseng VS Gastroenterology; 2018 Feb; 154(3):568-575. PubMed ID: 29042219 [TBL] [Abstract][Full Text] [Related]
20. Automatic feature learning using multichannel ROI based on deep structured algorithms for computerized lung cancer diagnosis. Sun W; Zheng B; Qian W Comput Biol Med; 2017 Oct; 89():530-539. PubMed ID: 28473055 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]