[[abstract]]臨床醫師在評估腦部病變或外傷的病人影像時，中線偏移是判斷腦部受壓迫程度最重要的量化指標。依據顱內不同組織的生物力學特性，作者提出了單張頭部電腦斷層影像裡偏移中線的模型。本模型分為三部份﹕上下的直線代表堅韌的大腦鐮，分隔大腦的兩個半球；中間的部份則使用二次貝茲曲線來代表柔軟的腦實質的偏移。藉由計算此中線模型兩側像素的亮度差平方和，我們可以找到最為”對稱” 的偏移中線。利用基因演算法可以加速曲線參數最佳化的過程。我們利用本系統來分析某區域醫院一年內神經外科加護病房的81名病患...
Document(s)
Title
Along with a number of other malignancies, the term "oligometastatic" prostate cancer has recently emerged. It represents an attempt to define a subtype of cancer with a limited metastatic load that might perform more favorably than a distinctly diss...
Colorectal cancer is one of the most common cancers with a high mortality rate. The determination of microsatellite instability (MSI) status in resected cancer tissue is vital because it helps diagnose the related disease and determine the relevant t...
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Deformable image registration between pathological images and MR image via an optical macro image.
Computed tomography (CT) and magnetic resonance (MR) imaging have been widely used for visualizing the inside of the human body. However, in many cases, pathological diagnosis is conducted through a biopsy or resection of an organ to evaluate the con...
Along with a number of other malignancies, the term "oligometastatic" prostate cancer has recently emerged. It represents an attempt to define a subtype of cancer with a limited metastatic load that might perform more favorably than a distinctly diss...
The importance of determining time of death is crucial to forensic cases. The ability to use adrenal gland volume changes and adrenal medulla chromaffin cell counts to obtain the postmortem interval was examined in this study. A total of 15 rats were...
The stylohyoid chain presents considerable anatomic variability. Three-dimensional (3D) CT is accepted as the method of choice for morphological assessment of the stylohyoid complex. We present volume-rendered, 3D multislice CT images of an unusual, ...
Despite deep convolutional neural networks boost the performance of image classification and segmentation in digital pathology analysis, they are usually weak in interpretability for clinical applications or require heavy annotations to achieve objec...
Along with a number of other malignancies, the term "oligometastatic" prostate cancer has recently emerged. It represents an attempt to define a subtype of cancer with a limited metastatic load that might perform more favorably than a distinctly diss...
Despite deep convolutional neural networks boost the performance of image classification and segmentation in digital pathology analysis, they are usually weak in interpretability for clinical applications or require heavy annotations to achieve objec...