摘要(中) 減骨圖像處理技術常用於斷層掃描血管造影(CTA) 以協助臨床診斷,
近年來深度學習技術的蓬勃發展, 通過採用由圖形處理器(GPU) 實現的深度卷積神經網絡模型 …

摘要(中) 椎動脈狹窄(> 50%) 所造成的中風診斷, 目前仍然是神經放射科中的一個比較難以明確
評估的問題. 相同的, 對椎動脈狹窄(> 50%) 的病患是否應該接受氣球擴張術及血管支架植入 …

Large-scale CT scans are frequently performed for forensic and diagnostic purposes, to plan
and direct surgical procedures, and to track the development of bone-related diseases. This …

Chest multi-bone segmentation plays an important role in clinical applications such as
metastasis analysis and surgical planning. The global context between bones is critical for …

Objectives: Bone segmentation can help bone disease diagnosis or post treatment
assessment but manual segmentation is a time consuming and tedious task in clinical …

Segmenting bone from background is required to quantify bone architecture in computed
tomography (CT) image data. A deep learning approach using convolutional neural …

Background The purpose of this study was to develop and evaluate an algorithm for bone
segmentation on whole-body CT using a convolutional neural network (CNN). Methods …

The segmentation of human body organs in medical imaging is a widely used process to
detect and diagnose diseases in medicine and to help students learn human anatomy in …

Bone mineral density (BMD) is a key indicator of bone mass in the human body and has
received increased attention in recent years. Quantitative computerized scanning (QCT) is …

Bone skeleton segmentation is a fundamental step in medical image analysis applications,
such as computer-aided orthopedic surgery, fracture detection, detecting and diagnosing …