202 related articles for article (PubMed ID: 34786216)
21. An Efficient Method for Brain Tumor Detection Using Texture Features and SVM Classifier in MR Images.
K KK; T MD; S M
Asian Pac J Cancer Prev; 2018 Oct; 19(10):2789-2794. PubMed ID: 30360607
[TBL] [Abstract][Full Text] [Related]
22. A Preliminary Evaluation of the Diagnostic Performance of a Smartphone-Based Machine Learning-Assisted System for Evaluation of Clinical Activity Score in Digital Images of Thyroid-Associated Orbitopathy.
Shin K; Choung H; Lee MJ; Kim J; Lee GM; Kim S; Kim JH; Oh R; Park J; Lee SM; Park J; Kim N; Moon JH
Thyroid; 2024 Jun; 34(6):744-752. PubMed ID: 38623815
[No Abstract] [Full Text] [Related]
23. Accurate shade image matching by using a smartphone camera.
Tam WK; Lee HJ
J Prosthodont Res; 2017 Apr; 61(2):168-176. PubMed ID: 27553123
[TBL] [Abstract][Full Text] [Related]
24. DeepLumina: A Method Based on Deep Features and Luminance Information for Color Texture Classification.
Simon AP; Uma BV
Comput Intell Neurosci; 2022; 2022():9510987. PubMed ID: 35463270
[TBL] [Abstract][Full Text] [Related]
25. Feature Extraction Using Dominant Local Texture-Color Patterns (DLTCP) and Classification of Color Images.
Kavitha JC; Suruliandi A
J Med Syst; 2018 Oct; 42(11):220. PubMed ID: 30280254
[TBL] [Abstract][Full Text] [Related]
26. Evaluation of black tea by using smartphone imaging coupled with micro-near-infrared spectrometer.
Li L; Wang Y; Jin S; Li M; Chen Q; Ning J; Zhang Z
Spectrochim Acta A Mol Biomol Spectrosc; 2021 Feb; 246():118991. PubMed ID: 33068895
[TBL] [Abstract][Full Text] [Related]
27. Cervical cancer histology image identification method based on texture and lesion area features.
Wei L; Gan Q; Ji T
Comput Assist Surg (Abingdon); 2017 Dec; 22(sup1):186-199. PubMed ID: 29037083
[TBL] [Abstract][Full Text] [Related]
28. Diagnostic Method of Liver Cirrhosis Based on MR Image Texture Feature Extraction and Classification Algorithm.
Chunmei X; Mei H; Yan Z; Haiying W
J Med Syst; 2019 Dec; 44(1):11. PubMed ID: 31802238
[TBL] [Abstract][Full Text] [Related]
29. A comparison of machine learning classifiers for smartphone-based gait analysis.
Altilio R; Rossetti A; Fang Q; Gu X; Panella M
Med Biol Eng Comput; 2021 Mar; 59(3):535-546. PubMed ID: 33548017
[TBL] [Abstract][Full Text] [Related]
30. Fall Detection Using Smartphone Audio Features.
Cheffena M
IEEE J Biomed Health Inform; 2016 Jul; 20(4):1073-80. PubMed ID: 25915965
[TBL] [Abstract][Full Text] [Related]
31. Novel Image Processing Method for Detecting Strep Throat (Streptococcal Pharyngitis) Using Smartphone.
Askarian B; Yoo SC; Chong JW
Sensors (Basel); 2019 Jul; 19(15):. PubMed ID: 31357633
[TBL] [Abstract][Full Text] [Related]
32. A remote computing based point-of-care colorimetric detection system with a smartphone under complex ambient light conditions.
Bao X; Jiang S; Wang Y; Yu M; Han J
Analyst; 2018 Mar; 143(6):1387-1395. PubMed ID: 29451280
[TBL] [Abstract][Full Text] [Related]
33. Enhanced Human Activity Recognition Based on Smartphone Sensor Data Using Hybrid Feature Selection Model.
Ahmed N; Rafiq JI; Islam MR
Sensors (Basel); 2020 Jan; 20(1):. PubMed ID: 31935943
[TBL] [Abstract][Full Text] [Related]
34. Automatic digital ECG signal extraction and normal QRS recognition from real scene ECG images.
Wang S; Zhang S; Li Z; Huang L; Wei Z
Comput Methods Programs Biomed; 2020 Apr; 187():105254. PubMed ID: 31830698
[TBL] [Abstract][Full Text] [Related]
35. Efficient color correction method for smartphone camera-based health monitoring application.
Duc Dang ; Chae Ho Cho ; Daeik Kim ; Oh Seok Kwon ; Jo Woon Chong
Annu Int Conf IEEE Eng Med Biol Soc; 2017 Jul; 2017():799-802. PubMed ID: 29059993
[TBL] [Abstract][Full Text] [Related]
36. [Technical Options of Documentation of the Anterior Segment and the eye Fundus Findings within Mission].
Furdová A; Krčméry V; Horkovičová K; Furdová A; Sláviková T
Cesk Slov Oftalmol; 2016; 72(3):86-90. PubMed ID: 27658976
[TBL] [Abstract][Full Text] [Related]
37. A feasible image-based colorimetric assay using a smartphone RGB camera for point-of-care monitoring of diabetes.
Wang TT; Lio CK; Huang H; Wang RY; Zhou H; Luo P; Qing LS
Talanta; 2020 Jan; 206():120211. PubMed ID: 31514873
[TBL] [Abstract][Full Text] [Related]
38. Localization and diagnosis framework for pediatric cataracts based on slit-lamp images using deep features of a convolutional neural network.
Liu X; Jiang J; Zhang K; Long E; Cui J; Zhu M; An Y; Zhang J; Liu Z; Lin Z; Li X; Chen J; Cao Q; Li J; Wu X; Wang D; Lin H
PLoS One; 2017; 12(3):e0168606. PubMed ID: 28306716
[TBL] [Abstract][Full Text] [Related]
39. Use of smartphones for detecting diabetic retinopathy: a protocol for a scoping review of diagnostic test accuracy studies.
Tan CH; Quah WH; Tan CSH; Smith H; Tudor Car L
BMJ Open; 2019 Dec; 9(12):e028811. PubMed ID: 31818832
[TBL] [Abstract][Full Text] [Related]
40. Parkinson's disease detection from 20-step walking tests using inertial sensors of a smartphone: Machine learning approach based on an observational case-control study.
Juutinen M; Wang C; Zhu J; Haladjian J; Ruokolainen J; Puustinen J; Vehkaoja A
PLoS One; 2020; 15(7):e0236258. PubMed ID: 32701955
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]