BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

333 related articles for article (PubMed ID: 31320299)

  • 1. Automatic detection and classification of radiolucent lesions in the mandible on panoramic radiographs using a deep learning object detection technique.
    Ariji Y; Yanashita Y; Kutsuna S; Muramatsu C; Fukuda M; Kise Y; Nozawa M; Kuwada C; Fujita H; Katsumata A; Ariji E
    Oral Surg Oral Med Oral Pathol Oral Radiol; 2019 Oct; 128(4):424-430. PubMed ID: 31320299
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Deep learning neural networks to differentiate Stafne's bone cavity from pathological radiolucent lesions of the mandible in heterogeneous panoramic radiography.
    Lee A; Kim MS; Han SS; Park P; Lee C; Yun JP
    PLoS One; 2021; 16(7):e0254997. PubMed ID: 34283883
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Detection and Segmentation of Radiolucent Lesions in the Lower Jaw on Panoramic Radiographs Using Deep Neural Networks.
    Rašić M; Tropčić M; Karlović P; Gabrić D; Subašić M; Knežević P
    Medicina (Kaunas); 2023 Dec; 59(12):. PubMed ID: 38138241
    [No Abstract]   [Full Text] [Related]  

  • 4. Deep learning object detection of maxillary cyst-like lesions on panoramic radiographs: preliminary study.
    Watanabe H; Ariji Y; Fukuda M; Kuwada C; Kise Y; Nozawa M; Sugita Y; Ariji E
    Oral Radiol; 2021 Jul; 37(3):487-493. PubMed ID: 32948938
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Diagnosis of cystic lesions using panoramic and cone beam computed tomographic images based on deep learning neural network.
    Lee JH; Kim DH; Jeong SN
    Oral Dis; 2020 Jan; 26(1):152-158. PubMed ID: 31677205
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Automatic diagnosis for cysts and tumors of both jaws on panoramic radiographs using a deep convolution neural network.
    Kwon O; Yong TH; Kang SR; Kim JE; Huh KH; Heo MS; Lee SS; Choi SC; Yi WJ
    Dentomaxillofac Radiol; 2020 Dec; 49(8):20200185. PubMed ID: 32574113
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Performance of deep learning object detection technology in the detection and diagnosis of maxillary sinus lesions on panoramic radiographs.
    Kuwana R; Ariji Y; Fukuda M; Kise Y; Nozawa M; Kuwada C; Muramatsu C; Katsumata A; Fujita H; Ariji E
    Dentomaxillofac Radiol; 2021 Jan; 50(1):20200171. PubMed ID: 32618480
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Development of deep learning model and evaluation in real clinical practice of lingual mandibular bone depression (Stafne cyst) on panoramic radiographs.
    Ha EG; Jeon KJ; Lee C; Kim HS; Han SS
    Dentomaxillofac Radiol; 2023 Jul; 52(5):20220413. PubMed ID: 37192044
    [TBL] [Abstract][Full Text] [Related]  

  • 9. [Application of Deep Learning in Differential Diagnosis of Ameloblastoma and Odontogenic Keratocyst Based on Panoramic Radiographs].
    Li M; Mu CC; Zhang JY; Li G
    Zhongguo Yi Xue Ke Xue Yuan Xue Bao; 2023 Apr; 45(2):273-279. PubMed ID: 37157075
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Effect of deep transfer learning with a different kind of lesion on classification performance of pre-trained model: Verification with radiolucent lesions on panoramic radiographs.
    Kise Y; Ariji Y; Kuwada C; Fukuda M; Ariji E
    Imaging Sci Dent; 2023 Mar; 53(1):27-34. PubMed ID: 37006785
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Performance evaluation of three versions of a convolutional neural network for object detection and segmentation using a multiclass and reduced panoramic radiograph dataset.
    Bonfanti-Gris M; Herrera A; Paraíso-Medina S; Alonso-Calvo R; Martínez-Rus F; Pradíes G
    J Dent; 2024 May; 144():104891. PubMed ID: 38367827
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A deep learning approach for radiological detection and classification of radicular cysts and periapical granulomas.
    Ver Berne J; Saadi SB; Politis C; Jacobs R
    J Dent; 2023 Aug; 135():104581. PubMed ID: 37295547
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Conventional and indirect digital radiographic interpretation of oral unilocular radiolucent lesions.
    Raitz R; Correa L; Curi M; Dib L; Fenyo-Pereira M
    Dentomaxillofac Radiol; 2006 May; 35(3):165-9. PubMed ID: 16618849
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Deep learning systems for detecting and classifying the presence of impacted supernumerary teeth in the maxillary incisor region on panoramic radiographs.
    Kuwada C; Ariji Y; Fukuda M; Kise Y; Fujita H; Katsumata A; Ariji E
    Oral Surg Oral Med Oral Pathol Oral Radiol; 2020 Oct; 130(4):464-469. PubMed ID: 32507560
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Triangular radiolucent lesion of the mandible.
    Ko E
    J Am Dent Assoc; 2016 Mar; 147(3):192-5. PubMed ID: 26562727
    [No Abstract]   [Full Text] [Related]  

  • 16. Deep Learning for Automated Detection of Cyst and Tumors of the Jaw in Panoramic Radiographs.
    Yang H; Jo E; Kim HJ; Cha IH; Jung YS; Nam W; Kim JY; Kim JK; Kim YH; Oh TG; Han SS; Kim H; Kim D
    J Clin Med; 2020 Jun; 9(6):. PubMed ID: 32545602
    [TBL] [Abstract][Full Text] [Related]  

  • 17. The dilemma of extensive unilocular radiolucent lesions of the jaws - value of immunohistochemistry as a diagnostic marker and prognostic Indicator.
    Jeyaraj P
    Ann Diagn Pathol; 2019 Jun; 40():105-135. PubMed ID: 31077874
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Graphical user interface-based convolutional neural network models for detecting nasopalatine duct cysts using panoramic radiography.
    Ito K; Hirahara N; Muraoka H; Sawada E; Tokunaga S; Komatsu T; Kaneda T
    Sci Rep; 2024 Apr; 14(1):7699. PubMed ID: 38565866
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Deep learning for automated detection and numbering of permanent teeth on panoramic images.
    Estai M; Tennant M; Gebauer D; Brostek A; Vignarajan J; Mehdizadeh M; Saha S
    Dentomaxillofac Radiol; 2022 Feb; 51(2):20210296. PubMed ID: 34644152
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Application of a fully deep convolutional neural network to the automation of tooth segmentation on panoramic radiographs.
    Lee JH; Han SS; Kim YH; Lee C; Kim I
    Oral Surg Oral Med Oral Pathol Oral Radiol; 2020 Jun; 129(6):635-642. PubMed ID: 31992524
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 17.