يعرض 1 - 20 نتائج من 232 نتيجة بحث عن '"Dermatoscòpia"', وقت الاستعلام: 0.52s تنقيح النتائج
  1. 1
    Dissertation/ Thesis

    المؤلفون: Rastgoo, Mojdeh

    المساهمون: University/Department: Universitat de Girona. Departament d'Arquitectura i Tecnologia de Computadors

    Thesis Advisors: mojdeh.rastgoo@gmail.com, García Campos, Rafael, Marzani, Frank, Morel, Olivier

    المصدر: TDX (Tesis Doctorals en Xarxa)

    Time: 616.5

    وصف الملف: application/pdf

  2. 2
    Dissertation/ Thesis

    المؤلفون: Serrano Grau, Patrícia

    المساهمون: University/Department: Universitat Rovira i Virgili. Departament de Medicina i Cirurgia

    Thesis Advisors: Zaballos Diego, Pedro

    المصدر: TDX (Tesis Doctorals en Xarxa)

    Time: 616.5

    وصف الملف: application/pdf

  3. 3
    Dissertation/ Thesis

    المؤلفون: Carrera Álvarez, Cristina

    المساهمون: University/Department: Universitat de Barcelona. Facultat de Medicina

    Thesis Advisors: Puig i Sardà, Susana, Estrach Panella, Ma. Teresa (María Teresa)

    المصدر: TDX (Tesis Doctorals en Xarxa)

    Time: 616.5

    وصف الملف: application/pdf

  4. 4
    Dissertation/ Thesis

    المؤلفون: Segura Tigell, Sonia

    المساهمون: University/Department: Universitat de Barcelona. Departament de Medicina

    Thesis Advisors: Puig i Sardà, Susana

    المصدر: TDX (Tesis Doctorals en Xarxa)

    وصف الملف: application/pdf

  5. 5
    Dissertation/ Thesis

    المؤلفون: Zaballos Diego, Pedro

    المساهمون: University/Department: Universitat de Barcelona. Departament de Medicina

    Thesis Advisors: Puig i Sardà, Susana, Malvehy, J. (Josep)

    المصدر: TDX (Tesis Doctorals en Xarxa)

    Time: 616.5

    وصف الملف: application/pdf

  6. 6
    Academic Journal

    المؤلفون: Ballarín, Àngels

    المصدر: APSalut; Vol. 1, Núm. 2 (2013)

    مصطلحات موضوعية: dermatoscòpia, atenció, primària, lesions, cutànies

    وصف الملف: application/pdf

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    Academic Journal
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    Academic Journal
  10. 10
    Academic Journal

    المصدر: Dermatología Venezolana; Vol. 60 Núm. 2 (2022): Dermatología Venezolana ; 2343-5755 ; 0011-9067

    مصطلحات موضوعية: Fractales, dermatoscopia, biofísica, luz, color

    وصف الملف: application/pdf

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    Academic Journal
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    Academic Journal
  13. 13
    Academic Journal

    المساهمون: Institut Català de la Salut, López-Trujillo E, Sánchez-Schmidt JM Department of Dermatology, Hospital de Terrassa, Barcelona, Spain. Segura S Department of Dermatology, Hospital del Mar, Barcelona, Spain., Consorci Sanitari de Terrassa

    المصدر: Scientia

    وصف الملف: pdf; application/pdf

    Relation: Dermatology Practical & Conceptual;14(1); https://doi.org/10.5826/dpc.1401a15; Lopez-Trujillo E, Segura S, Sánchez-Schmidt JM. Painful Hemorrhage of Vestibular Papillae: A Probably Underreported Complication of Vestibular Papillomatosis. Dermatol Pract Concept. 2024 Jan 1;14(1):e2024015; https://hdl.handle.net/11351/11196

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    Academic Journal
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    Academic Journal
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  18. 18
    Academic Journal
  19. 19
    Academic Journal

    المصدر: Ciencia e Ingenieria Neogranadina; Vol. 32 No. 2 (2022); 171-185 ; Ciencia e Ingeniería Neogranadina; Vol. 32 Núm. 2 (2022); 171-185 ; Ciencia e Ingeniería Neogranadina; v. 32 n. 2 (2022); 171-185 ; 1909-7735 ; 0124-8170

    وصف الملف: application/pdf

    Relation: https://revistas.unimilitar.edu.co/index.php/rcin/article/view/6270/5241; S. Lee, H. Huang y M. Zelen, "Early detection of disease and scheduling of screening examinations", Journal of Biomedical Informatics, vol. 13, nº 6, 443-456, 2004. https://doi.org/10.1016/j.jbi.2019.103231; O. T. Jones, C. K. Ranmuthu, P. N. Hall, G. Funston y F. M. Walter, "Recognising Skin Cancer in Primary Care", Advances in Therapy, vol. 37, nº 1, 603-616, 2020. https://doi.org/10.1007/s12325-019-01130-1; C. Garbe, K. Peris, A. Hauschild, P. Saiag, M. Middleton, L. Bastholt, J.-J. Grob, J. Malvehy, J. Newton-Bishop, A. J. Stratigos, H. Pehamberger y A. M. Eggermont, "Diagnosis and treatment of melanoma. European consensus-based interdisciplinary guideline - Update 2016". European Journal of Cancer, vol. 63, pp. 201-217, 2016. https://doi.org/10.1016/j.ejca.2016.05.005; I. P. Santos, R. van Doorn y P. Caspers, "Improving clinical diagnosis of early-stage cutaneous melanoma based on Raman spectroscopy", British Journal of Cancer, vol. 119, 1339-1346, 2018. https://doi.org/10.1038/s41416-018-0257-9; The International Skin Imaging Collaboration, ISIC, [On line]. Available: https://www.isic-archive.com/#!/topWithHeader/onlyHeaderTop/gallery. [Último acceso: January 2020].; J. A. Avilés‐Izquierdo, C. Ciudad‐Blanco, A. Sánchez‐Herrero, A. Mateos‐Mayo, L. M. Nieto‐Benito y E. Rodríguez‐Lomba, "Dermoscopy of cutaneous melanoma metastases: A color-based pattern classification". Journal of Dermatology, vol. 46, nº 7, 564-569, 2019. https://doi.org/10.1111/1346-8138.14926; S. Sigurdsson, P. A. Philipsen, L. K. Hansen, J. Larsen, M. Gniadecka y H. C. Wulf, "Detection of skin cancer by classification of Raman spectra", IEEE Transactions on Biomedical Engineering, vol. 51, nº 10, 1784-1793, 2004. https://doi.org/10.1109/TBME.2004.831538; I. Pirnog, R. O. Preda, C. Oprea y C. Paleologu, "Automatic lesion segmentation for melanoma diagnostics in macroscopic images" de 23rd European Signal Processing Conference (EUSIPCO), Nice, 2015. https://doi.org/10.1109/EUSIPCO.2015.7362465; R. Kasmi y K. Mokrani, "Classification of malignant melanoma and benign skin lesions: implementation of automatic ABCD rule", IET Image Processing, vol. 10, nº 6, 448-455, 2016. https://doi.org/10.1049/iet-ipr.2015.0385; V. Jeya-Ramya, J. Navarajan, R. Pratipa, and L. Ashok-Kumar "Detection of melanoma skin cancer using digital camera images" ARPN Journal of Engineering and Applied Sciences, vol. 10,3082-3085, 2015.; K. Shimizu, H. Iyatomi, . M. E. Celebi, K.-A. Norton y M. Tanaka, "Four-Class Classification of Skin Lesions With Task Decomposition Strategy", IEEE Transactions on Biomedical Engineering, vol. 62, nº 1, 274 - 283, 2014. https://doi.org/10.1109/TBME.2014.2348323; M. Sadeghi, T. K. Lee, D. McLean, H. Lui y M. S. Atkins, "Detection and Analysis of Irregular Streaks in Dermoscopic Images of Skin Lesions", Detection and Analysis of Irregular Streaks in Dermoscopic Images of Skin Lesions, vol. 32, nº 5, 849 - 861, 2013. https://doi.org/10.1109/TMI.2013.2239307; L. Yu, H. Chen, Q. Dou, J. Qin y P.-A. Heng, "Automated Melanoma Recognition in Dermoscopy Images via Very Deep Residual Networks", IEEE Transactions on Medical Imaging, vol. 36, nº 4, 994-1004, 2017. https://doi.org/10.1109/TMI.2016.2642839; Y. Yuan, M. Chao y Y.-C. Lo, "Automatic Skin Lesion Segmentation Using Deep Fully Convolutional Networks with Jaccard Distance", IEEE Transactions on Medical Imaging, vol. 36, 1876-1886, 2017. https://doi.org/10.1109/TMI.2017.2695227; M. u. Rehman, S. H. Khan, S. M. D. Rizvi, Z. Abbas y A. Zafar, "Classification of Skin Lesion by Interference of Segmentation and Convolotion Neural Network", de 2018 2nd International Conference on Engineering Innovation (ICEI), Bangkok, 2018. https://doi.org/10.1109/ICEI18.2018.8448814; E. Nasr-Esfahani, S. Samavi, N. Karimi y S. Soroushmehr, "Melanoma Detection by Analysis of Clinical Images Using Convolutional Neural Network", de 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Orlando, 2016. https://doi.org/10.1109/EMBC.2016.7590963; Z. Yu, D. Ni, S. Chen, J. Qin, S. Li, T. Wang y B. Lei, "Hybrid dermoscopy image classification framework based on deep convolutional neural network and Fisher vector", de 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017), Melbourne, 2017. https://doi.org/10.1109/ISBI.2017.7950524; I. González-Díaz, "DermaKNet: Incorporating the knowledge of dermatologists to Convolutional Neural Networks for skin lesion diagnosis", IEEE Journal of Biomedical and Health Informatics, vol. 23, nº 2, 547-559, 2018. https://doi.org/10.1109/JBHI.2018.2806962; J. P. de Oliveira Lima, L. C. Silva de Araújo Filho, C. M. Seródio Figueiredo y F. Santos da Silva, "Pigmented Dermatological Lesions Classification Using Convolutional Neural Networks Ensemble Mediated By Multilayer Perceptron Network", IEEE Latin America Transactions, vol. 17, nº 11, 1902-1908, 2019. https://doi.org/10.1109/TLA.2019.8986430; J. A. Ángeles Rojas, H. D. Calderón Vilca, E. N. Tumi Figueroa, K. J. Cuadros Ramos, S. S. Matos Manguinuri y E. F. Calderón Vilca, "Hybrid Model of Convolutional Neural Network and Support Vector Machine to Classify Basal Cell Carcinoma", Computación y Sistemas, 83-95, 2021. https://doi.org/10.13053/cys-25-1-3431; S. N. Haghighi, H. Danyali, M. H. Karami y M. S. Helfroush, "A Deep Convolutional Neural Network for Melanoma Recognition in Dermoscopy Images", de 2020 10th International Conference on Computer and Knowledge Engineering (ICCKE), Mashhad, 2020. https://doi.org/10.1109/ICCKE50421.2020.9303684; R. Zhang, "Melanoma Detection Using Convolutional Neural Network", de 2021 IEEE International Conference on Consumer Electronics and Computer Engineering (ICCECE), Guangzhou, 2021. https://doi.org/10.1109/ICCECE51280.2021.9342142; S. R. Guha y S. M. R. Haque, "Convolutional Neural Network Based Skin Lesion Analysis for Classifying Melanoma", de 2019 International Conference on Sustainable Technologies for Industry 4.0 (STI), Dhaka, 2019. https://doi.org/10.1109/STI47673.2019.9067979; Q. Zhou, Y. Shi, Z. Xu, R. Qu y G. Xu, "Classifying Melanoma Skin Lesions Using Convolutional Spiking Neural Networks With Unsupervised STDP Learning Rule", IEEE Access, vol. 8, 101309-101319, 2020. https://doi.org/10.1109/ACCESS.2020.2998098; Q. Wang, L. Sun, Y. Wang, M. Zhou, M. Hu, J. Chen, Y. Wen y Q. Li, "Identification of Melanoma From Hyperspectral Pathology Image Using 3D Convolutional Networks", IEEE Transactions on Medical Imaging , vol. 40, nº 1, 218-227, 2021. https://doi.org/10.1109/TMI.2020.3024923; A. Gong, X. Yao y W. Lin, "Classification for Dermoscopy Images Using Convolutional Neural Networks Based on the Ensemble of Individual Advantage and Group Decision", IEEE Access, vol. 8, 155337-155351, 2020. https://doi.org/10.1109/ACCESS.2020.3019210; R. A. Villanueva Alarcón, Sistema Inteligente basado en Redes Neuronales para la identificación de cáncer de piel de tipo Melanoma en imágenes de lesiones cutáneas, Lima, 2021.; L. Talavera-Martínez, P. Bibiloni y M. González-Hidalgo, "Hair Segmentation and Removal in Dermoscopic Images Using Deep Learning", IEEE Access, vol. 9, 2694-2704, 2021. https://doi.org/10.1109/ACCESS.2020.3047258; B. Zhang, Z. Wang, J. Gao, C. Rutjes, K. Nufer, D. Tao, D. D. Feng y S. W. Menzies, "Short-Term Lesion Change Detection for Melanoma Screening With Novel Siamese Neural Network", IEEE Transactions on Medical Imaging, vol. 40, nº 3, pp. 840-851, 2021. https://doi.org/10.1109/TMI.2020.3037761; R. Rastghalam, H. Danyali, M. S. Helfroush, M. E. Celebi y M. Mokhtari, "Skin Melanoma Detection in Microscopic Images Using HMM-Based Asymmetric Analysis and Expectation Maximization", IEEE Journal of Biomedical and Health Informatics, vol. 25, nº 9, 3486-3497, 2021. https://doi.org/10.1109/JBHI.2021.3081185; M. A. Khan, K. Muhammad, M. Sharif, T. Akram y V. H. C. d. Albuquerque, "Multi-Class Skin Lesion Detection and Classification via Teledermatology", IEEE Journal of Biomedical and Health Informatics, vol. 25, nº 12, 4267-4275, 2021. https://doi.org/10.1109/JBHI.2021.3067789; A. Karpathy , F.-F. Li, J. Johnson y S. Yeung, "CS231n: Convolutional Neural Networks for Visual Recognition", Stanford CS class, 2016-2019. [En línea]. Available: http://cs231n.github.io/. [Último acceso: January 2020].; T. Guo, J. Dong, H. Li y Y. Gao, "Simple convolutional neural network on image classification", de IEEE 2nd International Conference on Big Data Analysis (ICBDA)(, Beijing, 2017. https://doi.org/10.1109/ICBDA.2017.8078730; S. Albawi, T. A. Mohammed y S. AL-ZAWI, "Understanding of a convolutional neural network", de International Conference on Engineering and Technology (ICET), Antalya, 2017. https://doi.org/10.1109/ICEngTechnol.2017.8308186; R. Sarkar, C. C. Chatterjee y A. Hazra, "Diagnosis of melanoma from dermoscopic images using a deep depthwise separable residual convolutional network", IET Image Processing, vol. 13, 2019. https://doi.org/10.1049/iet-ipr.2018.6669; M. A. Khan, M. Sharif, M. Raza, A. Anjum, T. Saba y S. A. Shad, "Skin lesion segmentation and classification: A unified framework of deep neural network features fusion and selection", Expert Systems, 2019. https://doi.org/10.1111/exsy.12497; Z. Yu, X. Jiang, F. Zhou, J. Qin, D. Ni, S. Chen, B. Lei y T. Wang, "Melanoma Recognition in Dermoscopy Images via Aggregated Deep Convolutional Features", IEEE Transactions on Biomedical Engineering, vol. 66, nº 4, 1006-1016, 2019. https://doi.org/10.1109/TBME.2018.2866166; K. Jayapriya y I. J. Jacob, "Hybrid fully convolutional networks-based skin lesion segmentation and melanoma detection using deep feature", International Journal of Imaging Systems and Technology, 2019. https://doi.org/10.1002/ima.22377; A. Namozov y Y. I. Cho, "Convolutional Neural Network Algorithm with Parameterized Activation Function for Melanoma Classification", de 2018 International Conference on Information and Communication Technology Convergence (ICTC), Jeju, Korea (South), 2018. https://doi.org/10.1109/ICTC.2018.8539451; J. Yang, F. Xie, H. Fan, Z. Jiang y J. Liu, "Classification for Dermoscopy Images Using Convolutional Neural Networks Based on Region Average Pooling", IEEE Access, vol. 6, 65130-65138, 2018. https://doi.org/10.1109/ACCESS.2018.2877587; Y. Li y L. Shen, "Skin Lesion Analysis towards Melanoma Detection Using Deep Learning Network", Sensors, vol. 18, nº 2, 556, 2018. https://doi.org/10.3390/s18020556; P. Tang, Q. Liang, X. Yan, S. Xiang y D. Zhang, "GP-CNN-DTEL: Global-Part CNN Model With Data-Transformed Ensemble Learning for Skin Lesion Classification", IEEE Journal of Biomedical and Health Informatics, vol. 24, nº 10, 2870-2882, 2020. https://doi.org/10.1109/JBHI.2020.2977013; R. Ashraf, S. Afzal, A. U. Rehman, S. Gul, J. Baber, M. Bakhtyar, I. Mehmood, O.-Y. Song y M. Maqsood, "Region-of-Interest Based Transfer Learning Assisted Framework for Skin Cancer Detection" IEEE Access, vol. 8, 147858-147871, 2020. https://doi.org/10.1109/ACCESS.2020.3014701; H. Wu, J. Pan, Z. Li, Z. Wen y J. Qin, "Automated Skin Lesion Segmentation Via an Adaptive Dual Attention Module", IEEE Transactions on Medical Imaging, vol. 40, nº 1, 357-370, 2021. https://doi.org/10.1109/TMI.2020.3027341; Y. Jiang, S. Cao, S. Tao y H. Zhang, "Skin Lesion Segmentation Based on Multi-Scale Attention Convolutional Neural Network", IEEE Access, vol. 8, 122811-122825, 2020. https://doi.org/10.1109/ACCESS.2020.3007512; A. Gong, X. Yao y W. Lin, "Classification for Dermoscopy Images Using Convolutional Neural Networks Based on the Ensemble of Individual Advantage and Group Decision" IEEE Access, vol. 8, 2020. https://doi.org/10.1109/ACCESS.2020.3019210; L. Wei, K. Ding y H. Hu, "Automatic Skin Cancer Detection in Dermoscopy Images based on Ensemble Lightweight Deep Learning Network". IEEE Access, vol. 8, 99633-99647, 2020. https://doi.org/10.1109/ACCESS.2020.2997710; J. Zhang, Y. Xie, Y. Xia y C. Shen, "Attention Residual Learning for Skin Lesion Classification", IEEE Transactions on Medical Imaging, vol. 38, nº 9, 2092-2103, 2019. https://doi.org/10.1109/TMI.2019.2893944; https://revistas.unimilitar.edu.co/index.php/rcin/article/view/6270; http://hdl.handle.net/10654/42636

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    Academic Journal