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.
209 related articles for article (PubMed ID: 32395530)
1. Automatic classification of esophageal lesions in endoscopic images using a convolutional neural network. Liu G; Hua J; Wu Z; Meng T; Sun M; Huang P; He X; Sun W; Li X; Chen Y Ann Transl Med; 2020 Apr; 8(7):486. PubMed ID: 32395530 [TBL] [Abstract][Full Text] [Related]
2. Application of endoscopic ultrasonography for detecting esophageal lesions based on convolutional neural network. Liu GS; Huang PY; Wen ML; Zhuang SS; Hua J; He XP World J Gastroenterol; 2022 Jun; 28(22):2457-2467. PubMed ID: 35979257 [TBL] [Abstract][Full Text] [Related]
3. ELNet:Automatic classification and segmentation for esophageal lesions using convolutional neural network. Wu Z; Ge R; Wen M; Liu G; Chen Y; Zhang P; He X; Hua J; Luo L; Li S Med Image Anal; 2021 Jan; 67():101838. PubMed ID: 33129148 [TBL] [Abstract][Full Text] [Related]
4. 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]
5. Ensembled CNN with artificial bee colony optimization method for esophageal cancer stage classification using SVM classifier. Chempak Kumar A; Mubarak DMN J Xray Sci Technol; 2024; 32(1):31-51. PubMed ID: 37980593 [TBL] [Abstract][Full Text] [Related]
6. Automated Identification of Hookahs (Waterpipes) on Instagram: An Application in Feature Extraction Using Convolutional Neural Network and Support Vector Machine Classification. Zhang Y; Allem JP; Unger JB; Boley Cruz T J Med Internet Res; 2018 Nov; 20(11):e10513. PubMed ID: 30452385 [TBL] [Abstract][Full Text] [Related]
7. Automated classification of nasal polyps in endoscopy video-frames using handcrafted and CNN features. Ay B; Turker C; Emre E; Ay K; Aydin G Comput Biol Med; 2022 Aug; 147():105725. PubMed ID: 35716434 [TBL] [Abstract][Full Text] [Related]
8. Hybrid adversarial-discriminative network for leukocyte classification in leukemia. Zhang C; Wu S; Lu Z; Shen Y; Wang J; Huang P; Lou J; Liu C; Xing L; Zhang J; Xue J; Li D Med Phys; 2020 Aug; 47(8):3732-3744. PubMed ID: 32180243 [TBL] [Abstract][Full Text] [Related]
9. Deep Learning Based Skin Lesion Segmentation and Classification of Melanoma Using Support Vector Machine (SVM). R D S; A S Asian Pac J Cancer Prev; 2019 May; 20(5):1555-1561. PubMed ID: 31128062 [TBL] [Abstract][Full Text] [Related]
10. Breast Cancer Classification in Automated Breast Ultrasound Using Multiview Convolutional Neural Network with Transfer Learning. Wang Y; Choi EJ; Choi Y; Zhang H; Jin GY; Ko SB Ultrasound Med Biol; 2020 May; 46(5):1119-1132. PubMed ID: 32059918 [TBL] [Abstract][Full Text] [Related]
11. Convolutional neural network for the diagnosis of early gastric cancer based on magnifying narrow band imaging. Li L; Chen Y; Shen Z; Zhang X; Sang J; Ding Y; Yang X; Li J; Chen M; Jin C; Chen C; Yu C Gastric Cancer; 2020 Jan; 23(1):126-132. PubMed ID: 31332619 [TBL] [Abstract][Full Text] [Related]
12. Diagnosis of gastric lesions through a deep convolutional neural network. Zhang L; Zhang Y; Wang L; Wang J; Liu Y Dig Endosc; 2021 Jul; 33(5):788-796. PubMed ID: 32961597 [TBL] [Abstract][Full Text] [Related]
13. Application of artificial intelligence using a convolutional neural network for detecting gastric cancer in endoscopic images. Hirasawa T; Aoyama K; Tanimoto T; Ishihara S; Shichijo S; Ozawa T; Ohnishi T; Fujishiro M; Matsuo K; Fujisaki J; Tada T Gastric Cancer; 2018 Jul; 21(4):653-660. PubMed ID: 29335825 [TBL] [Abstract][Full Text] [Related]
14. Feasibility of a deep learning-based algorithm for automated detection and classification of nasal polyps and inverted papillomas on nasal endoscopic images. Girdler B; Moon H; Bae MR; Ryu SS; Bae J; Yu MS Int Forum Allergy Rhinol; 2021 Dec; 11(12):1637-1646. PubMed ID: 34148298 [TBL] [Abstract][Full Text] [Related]
15. Multi-Method Diagnosis of Blood Microscopic Sample for Early Detection of Acute Lymphoblastic Leukemia Based on Deep Learning and Hybrid Techniques. Abunadi I; Senan EM Sensors (Basel); 2022 Feb; 22(4):. PubMed ID: 35214531 [TBL] [Abstract][Full Text] [Related]
16. Machine learning applications for early detection of esophageal cancer: a systematic review. Hosseini F; Asadi F; Emami H; Ebnali M BMC Med Inform Decis Mak; 2023 Jul; 23(1):124. PubMed ID: 37460991 [TBL] [Abstract][Full Text] [Related]
17. Multi-View Ensemble Convolutional Neural Network to Improve Classification of Pneumonia in Low Contrast Chest X-Ray Images. Ferreira JR; Armando Cardona Cardenas D; Moreno RA; de Fatima de Sa Rebelo M; Krieger JE; Antonio Gutierrez M Annu Int Conf IEEE Eng Med Biol Soc; 2020 Jul; 2020():1238-1241. PubMed ID: 33018211 [TBL] [Abstract][Full Text] [Related]
18. Machine learning for evolutive lymphoma and residual masses recognition in whole body diffusion weighted magnetic resonance images. Ferjaoui R; Cherni MA; Boujnah S; Kraiem NEH; Kraiem T Comput Methods Programs Biomed; 2021 Sep; 209():106320. PubMed ID: 34390938 [TBL] [Abstract][Full Text] [Related]
19. Deep convolutional neural network for automatic discrimination between Lin P; Li D; Zou Z; Chen Y; Jiang S Plant Methods; 2018; 14():64. PubMed ID: 30065777 [TBL] [Abstract][Full Text] [Related]
20. Using Deep Learning and Low-Cost RGB and Thermal Cameras to Detect Pedestrians in Aerial Images Captured by Multirotor UAV. de Oliveira DC; Wehrmeister MA Sensors (Basel); 2018 Jul; 18(7):. PubMed ID: 30002290 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]