Cross-modality guided contrast enhancement for improved liver tumor image segmentation
Tumor segmentation in Computed Tomography (CT) images is a crucial step in image-
guided surgery. However, low-contrast CT images impede the performance of subsequent
segmentation tasks. Contrast enhancement is then used as a preprocessing step to highlight
the relevant structures, thus facilitating not only medical diagnosis but also image
segmentation with higher accuracy. In this paper, we propose a goal-oriented contrast
enhancement method to improve tumor segmentation performance. The proposed method is …
guided surgery. However, low-contrast CT images impede the performance of subsequent
segmentation tasks. Contrast enhancement is then used as a preprocessing step to highlight
the relevant structures, thus facilitating not only medical diagnosis but also image
segmentation with higher accuracy. In this paper, we propose a goal-oriented contrast
enhancement method to improve tumor segmentation performance. The proposed method is …
[PDF][PDF] Cross-Modality Guided Contrast Enhancement for Improved Liver Tumor Image Segmentation
J OLIVARES - academia.edu
ABSTRACT Tumor segmentation in Computed Tomography (CT) images is a crucial step in
image-guided surgery. However, low-contrast CT images impede the performance of
subsequent segmentation tasks. Contrast enhancement is then used as a preprocessing
step to highlight the relevant structures, thus facilitating not only medical diagnosis but also
image segmentation with higher accuracy. In this paper, we propose a goal-oriented
contrast enhancement method to improve tumor segmentation performance. The proposed …
image-guided surgery. However, low-contrast CT images impede the performance of
subsequent segmentation tasks. Contrast enhancement is then used as a preprocessing
step to highlight the relevant structures, thus facilitating not only medical diagnosis but also
image segmentation with higher accuracy. In this paper, we propose a goal-oriented
contrast enhancement method to improve tumor segmentation performance. The proposed …
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