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(PDF) Automated medical image …

    https://www.researchgate.net/publication/41532834_Automated_medical_image_segmentation_techniques
    Computed topography (CT) and Magnetic resonance (MR) imaging are the most widely used radiographic techniques in …

[PDF] Automated medical image segmentation …

    https://www.semanticscholar.org/paper/Automated-medical-image-segmentation-techniques-Sharma-Aggarwal/709219b455be088a9cf90cd97cd2a75fe415b563
    Accurate segmentation of medical images is a key step in contouring during radiotherapy planning. Computed topography (CT) and Magnetic resonance (MR) imaging are the …

Automated medical image segmentation techniques

    https://pubmed.ncbi.nlm.nih.gov/20177565/
    This review provides details of automated segmentation methods, specifically discussed in the context of CT and MR images. The motive is to discuss the problems encountered …

(PDF) Automated medical image segmentation …

    https://www.academia.edu/91246889/Automated_medical_image_segmentation_techniques
    Computed topography (CT) and Magnetic resonance (MR) imaging are the most widely used radiographic techniques in diagnosis, clinical studies and treatment planning. This …

Automated Medical Image Segmentation Techniques

    https://www.scribd.com/document/438911076/Automated-Medical-Image-Segmentation-Techniques
    Computed topography (CT) and Magnetic resonance (MR) imaging are the most widely used radiographic techniques in diagnosis, clinical studies and treatment planning. This …

(PDF) Medical Image Segmentation …

    https://www.researchgate.net/publication/294682473_Medical_Image_Segmentation_Techniques_An_Overview
    CT image segmentation methods can be classified into three typical kinds [11] [12] [13] including manual, semi-automatic [11], and automatic [12,13]. ... Watertight 2-manifold 3D bone surface...

(PDF) A Review of Medical Image …

    https://www.researchgate.net/publication/350820310_A_Review_of_Medical_Image_Segmentation_Algorithms
    For medical image analysis, in order to help clinicians to make the diagnosis more accurately, the segmentation is a necessary step in advancing on which the quality of the diagnosis …

(PDF) Medical Image Segmentation A Review of Recent …

    https://www.researchgate.net/publication/335811563_Medical_Image_Segmentation_A_Review_of_Recent_Techniques_Advancements_and_a_Comprehensive_Comparison
    La segmentación de las lesiones, dígase detección y delimitación de sus contornos, es una tarea previa y esencial en el procesamiento de imágenes clínicas de …

Automated medical image segmentation techniques

    https://www.researchgate.net/profile/Lalit-Aggarwal/publication/41532834_Automated_medical_image_segmentation_techniques/links/5510f58c0cf2ba8448405f1f/Automated-medical-image-segmentation-techniques.pdf
    This review provides details of automated segmentation methods, specifically discussed in the context of CT and MR images. The motive is to discuss the problems encountered …

(PDF) Comparison of automated segmentation techniques for …

    https://www.researchgate.net/publication/368454229_Comparison_of_automated_segmentation_techniques_for_magnetic_resonance_images_of_the_prostate
    Conclusions: Deep learning-based segmentation techniques can consistently achieve Dice coefficients of 0.9 or above with as few as 50 training patients, regardless of architectural archetype.



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