Search Results - "Fondon, Irene"

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  1. 1

    Unsupervised skin lesions border detection via two-dimensional image analysis by Abbas, Qaisar, Fondón, Irene, Rashid, Muhammad

    “…Abstract The skin cancer was analyzed by dermoscopy helpful for dermatologists. The classification of melanoma and carcinoma such as basal cell, squamous cell,…”
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    Journal Article
  2. 2

    Automatic classification of tissue malignancy for breast carcinoma diagnosis by Fondón, Irene, Sarmiento, Auxiliadora, García, Ana Isabel, Silvestre, María, Eloy, Catarina, Polónia, António, Aguiar, Paulo

    Published in Computers in biology and medicine (01-05-2018)
    “…Breast cancer is the second leading cause of cancer death among women. Its early diagnosis is extremely important to prevent avoidable deaths. However,…”
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    Journal Article
  3. 3

    A Robust Method for the Unsupervised Scoring of Immunohistochemical Staining by Durán-Díaz, Iván, Sarmiento, Auxiliadora, Fondón, Irene, Bodineau, Clément, Tomé, Mercedes, Durán, Raúl V

    Published in Entropy (Basel, Switzerland) (01-02-2024)
    “…Immunohistochemistry is a powerful technique that is widely used in biomedical research and clinics; it allows one to determine the expression levels of some…”
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    Journal Article
  4. 4

    Breast mass segmentation using region-based and edge-based methods in a 4-stage multiscale system by Abbas, Qaisar, Celebi, M. Emre, Garcı́a, Irene Fondón

    Published in Biomedical signal processing and control (01-03-2013)
    “…► A combined region-based and edge-based algorithm is developed for mass segmentation in a multiscale system. ► This algorithm provides a new way of reducing…”
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    Journal Article
  5. 5

    Fully automatized parallel segmentation of the optic disc in retinal fundus images by Díaz-Pernil, Daniel, Fondón, Irene, Peña-Cantillana, Francisco, Gutiérrez-Naranjo, Miguel A.

    Published in Pattern recognition letters (01-11-2016)
    “…•This paper presents a fully automatic software for the localization of the optic disc in retinal fundus color images.•The developed method is an hybrid of…”
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    Journal Article
  6. 6

    A Method for Unsupervised Semi-Quantification of Inmunohistochemical Staining with Beta Divergences by Sarmiento, Auxiliadora, Durán-Díaz, Iván, Fondón, Irene, Tomé, Mercedes, Bodineau, Clément, Durán, Raúl V

    Published in Entropy (Basel, Switzerland) (13-04-2022)
    “…In many research laboratories, it is essential to determine the relative expression levels of some proteins of interest in tissue samples. The…”
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    Journal Article
  7. 7

    Skin tumor area extraction using an improved dynamic programming approach by Abbas, Qaisar, Celebi, M E, Fondón García, Irene

    Published in Skin research and technology (01-05-2012)
    “…Border (B) description of melanoma and other pigmented skin lesions is one of the most important tasks for the clinical diagnosis of dermoscopy images using…”
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    Journal Article
  8. 8

    Melanoma recognition framework based on expert definition of ABCD for dermoscopic images by Abbas, Qaisar, Emre Celebi, M, Garcia, Irene Fondón, Ahmad, Waqar

    Published in Skin research and technology (01-02-2013)
    “…Melanoma Recognition based on clinical ABCD rule is widely used for clinical diagnosis of pigmented skin lesions in dermoscopy images. However, the current…”
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    Journal Article
  9. 9

    Burn Depth Analysis Using Multidimensional Scaling Applied to Psychophysical Experiment Data by Acha, Begona, Serrano, C., Fondon, I., Gomez-Cia, T.

    Published in IEEE transactions on medical imaging (01-06-2013)
    “…In this paper a psychophysical experiment and a multidimensional scaling (MDS) analysis are undergone to determine the physical characteristics that physicians…”
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    Journal Article
  10. 10

    Computer-aided pattern classification system for dermoscopy images by Abbas, Qaisar, Celebi, M Emre, Fondón, Irene

    Published in Skin research and technology (01-08-2012)
    “…Computer-aided pattern classification of melanoma and other pigmented skin lesions is one of the most important tasks for clinical diagnosis. To differentiate…”
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    Journal Article
  11. 11

    Hair removal methods: A comparative study for dermoscopy images by Abbas, Qaisar, Celebi, M.E., García, Irene Fondón

    Published in Biomedical signal processing and control (01-10-2011)
    “…Removal and restoration of hair and hair-like regions within skin lesion images is needed so features within lesions can be more effectively analyzed for…”
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    Journal Article
  12. 12

    A system for 3D representation of burns and calculation of burnt skin area by Prieto, María Felicidad, Acha, Begoña, Gómez-Cía, Tomás, Fondón, Irene, Serrano, Carmen

    Published in Burns (01-11-2011)
    “…Abstract In this paper a computer-based system for burnt surface area estimation (BAI), is presented. First, a 3D model of a patient, adapted to age, weight,…”
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    Journal Article
  13. 13

    Unified approach for lesion border detection based on mixture modeling and local entropy thresholding by Abbas, Qaisar, Garcia, Irene Fondón, Emre Celebi, M, Ahmad, Waqar, Mushtaq, Qaisar

    Published in Skin research and technology (01-08-2013)
    “…Computer-aided design (CAD) methods are highly valuable for the analysis of skin lesions using digital dermoscopy due to low rate of diagnostic accuracy of…”
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    Journal Article
  14. 14

    A feature-preserving hair removal algorithm for dermoscopy images by Abbas, Qaisar, Garcia, Irene Fondón, Emre Celebi, M, Ahmad, Waqar

    Published in Skin research and technology (01-02-2013)
    “…Accurate segmentation and repair of hair-occluded information from dermoscopy images are challenging tasks for computer-aided detection (CAD) of melanoma…”
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    Journal Article
  15. 15

    A perceptually oriented method for contrast enhancement and segmentation of dermoscopy images by Abbas, Qaisar, Garcia, Irene Fondón, Emre Celebi, M, Ahmad, Waqar, Mushtaq, Qaisar

    Published in Skin research and technology (01-02-2013)
    “…Dermoscopy images often suffer from low contrast caused by different light conditions, which reduces the accuracy of lesion border detection. Accordingly for…”
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    Journal Article
  16. 16
  17. 17

    Centroid-Based Clustering with αβ-Divergences by Sarmiento, Auxiliadora, Fondón, Irene, Durán-Díaz, Iván, Cruces, Sergio

    Published in Entropy (Basel, Switzerland) (19-02-2019)
    “…Centroid-based clustering is a widely used technique within unsupervised learning algorithms in many research fields. The success of any centroid-based…”
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    Journal Article
  18. 18

    Automatic recognition of severity level for diagnosis of diabetic retinopathy using deep visual features by Abbas, Qaisar, Fondon, Irene, Sarmiento, Auxiliadora, Jiménez, Soledad, Alemany, Pedro

    “…Diabetic retinopathy (DR) is leading cause of blindness among diabetic patients. Recognition of severity level is required by ophthalmologists to early detect…”
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    Journal Article
  19. 19

    Generalization of an Active Set Newton Algorithm with Alpha-Beta divergences for audio separation by Sarmiento Vega, Auxiliadora, Duran Diaz, Ivan, Fondon, Irene, Cruces, Sergio

    “…This article considers the decomposition of a nonnegative signal into a non-negative linear combination of the contributions of pre-specified atomic units,…”
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    Conference Proceeding
  20. 20

    Lesion border detection in dermoscopy images using dynamic programming by Abbas, Qaisar, Celebi, M Emre, Fondón García, Irene, Rashid, Muhammad

    Published in Skin research and technology (01-02-2011)
    “…Automated border detection is an important and challenging task in the computerized analysis of dermoscopy images. However, dermoscopic images often contain…”
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    Journal Article