BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

190 related articles for article (PubMed ID: 34350408)

  • 21. Rethinking Annotation Granularity for Overcoming Shortcuts in Deep Learning-based Radiograph Diagnosis: A Multicenter Study.
    Luo L; Chen H; Xiao Y; Zhou Y; Wang X; Vardhanabhuti V; Wu M; Han C; Liu Z; Fang XHB; Tsougenis E; Lin H; Heng PA
    Radiol Artif Intell; 2022 Sep; 4(5):e210299. PubMed ID: 36204545
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Using Deep Learning to Detect Spinal Cord Diseases on Thoracolumbar Magnetic Resonance Images of Dogs.
    Biercher A; Meller S; Wendt J; Caspari N; Schmidt-Mosig J; De Decker S; Volk HA
    Front Vet Sci; 2021; 8():721167. PubMed ID: 34796224
    [No Abstract]   [Full Text] [Related]  

  • 23. Performance of deep learning for differentiating pancreatic diseases on contrast-enhanced magnetic resonance imaging: A preliminary study.
    Gao X; Wang X
    Diagn Interv Imaging; 2020 Feb; 101(2):91-100. PubMed ID: 31375430
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Deep convolutional neural network applied to the liver imaging reporting and data system (LI-RADS) version 2014 category classification: a pilot study.
    Yamashita R; Mittendorf A; Zhu Z; Fowler KJ; Santillan CS; Sirlin CB; Bashir MR; Do RKG
    Abdom Radiol (NY); 2020 Jan; 45(1):24-35. PubMed ID: 31696269
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Synthesizing CT images from MR images with deep learning: model generalization for different datasets through transfer learning.
    Li W; Kazemifar S; Bai T; Nguyen D; Weng Y; Li Y; Xia J; Xiong J; Xie Y; Owrangi A; Jiang S
    Biomed Phys Eng Express; 2021 Feb; 7(2):. PubMed ID: 33545707
    [No Abstract]   [Full Text] [Related]  

  • 26. 3D Compressed Convolutional Neural Network Differentiates Neuromyelitis Optical Spectrum Disorders From Multiple Sclerosis Using Automated White Matter Hyperintensities Segmentations.
    Wang Z; Yu Z; Wang Y; Zhang H; Luo Y; Shi L; Wang Y; Guo C
    Front Physiol; 2020; 11():612928. PubMed ID: 33424635
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Prediction of Stroke Outcome Using Natural Language Processing-Based Machine Learning of Radiology Report of Brain MRI.
    Heo TS; Kim YS; Choi JM; Jeong YS; Seo SY; Lee JH; Jeon JP; Kim C
    J Pers Med; 2020 Dec; 10(4):. PubMed ID: 33339385
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Development and Validation of a Deep Learning-Based Automatic Brain Segmentation and Classification Algorithm for Alzheimer Disease Using 3D T1-Weighted Volumetric Images.
    Suh CH; Shim WH; Kim SJ; Roh JH; Lee JH; Kim MJ; Park S; Jung W; Sung J; Jahng GH;
    AJNR Am J Neuroradiol; 2020 Dec; 41(12):2227-2234. PubMed ID: 33154073
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Deep Radiogenomics of Lower-Grade Gliomas: Convolutional Neural Networks Predict Tumor Genomic Subtypes Using MR Images.
    Buda M; AlBadawy EA; Saha A; Mazurowski MA
    Radiol Artif Intell; 2020 Jan; 2(1):e180050. PubMed ID: 33937809
    [TBL] [Abstract][Full Text] [Related]  

  • 30. 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]  

  • 31. TEM virus images: Benchmark dataset and deep learning classification.
    Matuszewski DJ; Sintorn IM
    Comput Methods Programs Biomed; 2021 Sep; 209():106318. PubMed ID: 34375851
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Deep neural networks show an equivalent and often superior performance to dermatologists in onychomycosis diagnosis: Automatic construction of onychomycosis datasets by region-based convolutional deep neural network.
    Han SS; Park GH; Lim W; Kim MS; Na JI; Park I; Chang SE
    PLoS One; 2018; 13(1):e0191493. PubMed ID: 29352285
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Synthesizing Quantitative T2 Maps in Right Lateral Knee Femoral Condyles from Multicontrast Anatomic Data with a Conditional Generative Adversarial Network.
    Sveinsson B; Chaudhari AS; Zhu B; Koonjoo N; Torriani M; Gold GE; Rosen MS
    Radiol Artif Intell; 2021 Sep; 3(5):e200122. PubMed ID: 34617020
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Semantic segmentation of cerebrospinal fluid and brain volume with a convolutional neural network in pediatric hydrocephalus-transfer learning from existing algorithms.
    Grimm F; Edl F; Kerscher SR; Nieselt K; Gugel I; Schuhmann MU
    Acta Neurochir (Wien); 2020 Oct; 162(10):2463-2474. PubMed ID: 32583085
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Brain MR Image Classification Using Superpixel-Based Deep Transfer Learning.
    Behera TK; Khan MA; Bakshi S
    IEEE J Biomed Health Inform; 2024 Mar; 28(3):1218-1227. PubMed ID: 36269915
    [TBL] [Abstract][Full Text] [Related]  

  • 36. A methodological approach for deep learning to distinguish between meningiomas and gliomas on canine MR-images.
    Banzato T; Bernardini M; Cherubini GB; Zotti A
    BMC Vet Res; 2018 Oct; 14(1):317. PubMed ID: 30348148
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Predicting benign, preinvasive, and invasive lung nodules on computed tomography scans using machine learning.
    Ashraf SF; Yin K; Meng CX; Wang Q; Wang Q; Pu J; Dhupar R
    J Thorac Cardiovasc Surg; 2022 Apr; 163(4):1496-1505.e10. PubMed ID: 33726909
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Deep Learning to Classify Radiology Free-Text Reports.
    Chen MC; Ball RL; Yang L; Moradzadeh N; Chapman BE; Larson DB; Langlotz CP; Amrhein TJ; Lungren MP
    Radiology; 2018 Mar; 286(3):845-852. PubMed ID: 29135365
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Influence of Data Distribution on Federated Learning Performance in Tumor Segmentation.
    Luo G; Liu T; Lu J; Chen X; Yu L; Wu J; Chen DZ; Cai W
    Radiol Artif Intell; 2023 May; 5(3):e220082. PubMed ID: 37293342
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Transfer learning with pre-trained deep convolutional neural networks for the automatic assessment of liver steatosis in ultrasound images.
    Constantinescu EC; Udriștoiu AL; Udriștoiu ȘC; Iacob AV; Gruionu LG; Gruionu G; Săndulescu L; Săftoiu A
    Med Ultrason; 2021 May; 23(2):135-139. PubMed ID: 33626114
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 10.