183 related articles for article (PubMed ID: 29990257)
21. Fetal biometry by an inexperienced operator using two- and three-dimensional ultrasound.
Yang F; Leung KY; Lee YP; Chan HY; Tang MH
Ultrasound Obstet Gynecol; 2010 May; 35(5):566-71. PubMed ID: 20183864
[TBL] [Abstract][Full Text] [Related]
22. Automatic evaluation of fetal head biometry from ultrasound images using machine learning.
Kim HP; Lee SM; Kwon JY; Park Y; Kim KC; Seo JK
Physiol Meas; 2019 Jul; 40(6):065009. PubMed ID: 31091515
[TBL] [Abstract][Full Text] [Related]
23. Transfer Learning with Convolutional Neural Networks for Classification of Abdominal Ultrasound Images.
Cheng PM; Malhi HS
J Digit Imaging; 2017 Apr; 30(2):234-243. PubMed ID: 27896451
[TBL] [Abstract][Full Text] [Related]
24. International estimated fetal weight standards of the INTERGROWTH-21
Stirnemann J; Villar J; Salomon LJ; Ohuma E; Ruyan P; Altman DG; Nosten F; Craik R; Munim S; Cheikh Ismail L; Barros FC; Lambert A; Norris S; Carvalho M; Jaffer YA; Noble JA; Bertino E; Gravett MG; Purwar M; Victora CG; Uauy R; Bhutta Z; Kennedy S; Papageorghiou AT; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ;
Ultrasound Obstet Gynecol; 2017 Apr; 49(4):478-486. PubMed ID: 27804212
[TBL] [Abstract][Full Text] [Related]
25. Automated Fetal Head Detection and Circumference Estimation from Free-Hand Ultrasound Sweeps Using Deep Learning in Resource-Limited Countries.
van den Heuvel TLA; Petros H; Santini S; de Korte CL; van Ginneken B
Ultrasound Med Biol; 2019 Mar; 45(3):773-785. PubMed ID: 30573305
[TBL] [Abstract][Full Text] [Related]
26. Comparison of different sonographic methods to determine fetal abdominal circumference.
Kehl S; Zaiss I; Freiburg F; Speierer A; Sütterlin M; Siemer J
Fetal Diagn Ther; 2010; 28(4):201-6. PubMed ID: 20881366
[TBL] [Abstract][Full Text] [Related]
27. Evaluation of deep convolutional neural networks for automatic classification of common maternal fetal ultrasound planes.
Burgos-Artizzu XP; Coronado-Gutiérrez D; Valenzuela-Alcaraz B; Bonet-Carne E; Eixarch E; Crispi F; Gratacós E
Sci Rep; 2020 Jun; 10(1):10200. PubMed ID: 32576905
[TBL] [Abstract][Full Text] [Related]
28. A Crossover Comparison of Standard and Telerobotic Approaches to Prenatal Sonography.
Adams SJ; Burbridge BE; Badea A; Kanigan N; Bustamante L; Babyn P; Mendez I
J Ultrasound Med; 2018 Nov; 37(11):2603-2612. PubMed ID: 29689632
[TBL] [Abstract][Full Text] [Related]
29. Ultrasound Fetal Image Segmentation Techniques: A Review.
Sree SJ; Vasanthanayaki C
Curr Med Imaging Rev; 2019; 15(1):52-60. PubMed ID: 31964327
[TBL] [Abstract][Full Text] [Related]
30. Segmentation of 2D fetal ultrasound images by exploiting context information using conditional random fields.
Gupta L; Sisodia RS; Pallavi V; Firtion C; Ramachandran G
Annu Int Conf IEEE Eng Med Biol Soc; 2011; 2011():7219-22. PubMed ID: 22256004
[TBL] [Abstract][Full Text] [Related]
31. New sonographic method for fetuses with a large abdominal circumference improves fetal weight estimation.
Kehl S; Körber C; Hart N; Goecke TW; Schild RL; Siemer J
Ultraschall Med; 2012 Jun; 33(3):265-9. PubMed ID: 21080309
[TBL] [Abstract][Full Text] [Related]
32. A new approach to automatic measure fetal head circumference in ultrasound images using convolutional neural networks.
Yang C; Yang Z; Liao S; Guo J; Yin S; Liu C; Kang Y
Comput Biol Med; 2022 Aug; 147():105801. PubMed ID: 35785663
[TBL] [Abstract][Full Text] [Related]
33. Deep learning for estimation of fetal weight throughout the pregnancy from fetal abdominal ultrasound.
Płotka SS; Grzeszczyk MK; Szenejko PI; Żebrowska K; Szymecka-Samaha NA; Łęgowik T; Lipa MA; Kosińska-Kaczyńska K; Brawura-Biskupski-Samaha R; Išgum I; Sánchez CI; Sitek A
Am J Obstet Gynecol MFM; 2023 Dec; 5(12):101182. PubMed ID: 37821009
[TBL] [Abstract][Full Text] [Related]
34. Fetal growth analysis from ultrasound videos based on different biometrics using optimal segmentation and hybrid classifier.
Devisri B; Kavitha M
Stat Med; 2024 Feb; 43(5):1019-1047. PubMed ID: 38155152
[TBL] [Abstract][Full Text] [Related]
35. Deep learning fetal ultrasound video model match human observers in biometric measurements.
Płotka S; Klasa A; Lisowska A; Seliga-Siwecka J; Lipa M; Trzciński T; Sitek A
Phys Med Biol; 2022 Feb; 67(4):. PubMed ID: 35051921
[No Abstract] [Full Text] [Related]
36. Fetal ultrasound image segmentation system and its use in fetal weight estimation.
Yu J; Wang Y; Chen P
Med Biol Eng Comput; 2008 Dec; 46(12):1227-37. PubMed ID: 18850125
[TBL] [Abstract][Full Text] [Related]
37. Active cardiac model and its application on structure detection from early fetal ultrasound sequences.
Deng Y; Wang Y; Shen Y; Chen P
Comput Med Imaging Graph; 2012 Apr; 36(3):239-47. PubMed ID: 21620676
[TBL] [Abstract][Full Text] [Related]
38. Ultrasound Standard Plane Detection Using a Composite Neural Network Framework.
Chen H; Wu L; Dou Q; Qin J; Li S; Cheng JZ; Ni D; Heng PA
IEEE Trans Cybern; 2017 Jun; 47(6):1576-1586. PubMed ID: 28371793
[TBL] [Abstract][Full Text] [Related]
39. Automatic Fetal Head Circumference Measurement in Ultrasound Using Random Forest and Fast Ellipse Fitting.
Li J; Wang Y; Lei B; Cheng JZ; Qin J; Wang T; Li S; Ni D
IEEE J Biomed Health Inform; 2018 Jan; 22(1):215-223. PubMed ID: 28504954
[TBL] [Abstract][Full Text] [Related]
40. Ultrasound image-based thyroid nodule automatic segmentation using convolutional neural networks.
Ma J; Wu F; Jiang T; Zhao Q; Kong D
Int J Comput Assist Radiol Surg; 2017 Nov; 12(11):1895-1910. PubMed ID: 28762196
[TBL] [Abstract][Full Text] [Related]
[Previous] [Next] [New Search]