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Journal of medical artificial intelligence最新文献

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Computer-aided diagnosis to differentiate colorectal polyps: are we nearing primetime? 计算机辅助诊断鉴别结直肠息肉:我们接近黄金时段了吗?
Pub Date : 2018-11-01 DOI: 10.21037/JMAI.2018.11.02
N. Shahidi, M. Byrne
Colorectal cancer screening has proven to be an effective preventative health measure (1). This is, in part, achieved by the identification and removal of neoplastic adenomatous polyps. However, within the rectum and sigmoid colon, non-neoplastic hyperplastic polyps are also common.
结直肠癌癌症筛查已被证明是一种有效的预防健康措施(1)。这在一定程度上是通过识别和切除肿瘤性腺瘤性息肉来实现的。然而,在直肠和乙状结肠内,非肿瘤性增生性息肉也很常见。
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引用次数: 0
Can texture features computed from the joint intensity distribution of different MRI sequences accurately predict prostate cancer grade? 根据不同MRI序列的关节强度分布计算的纹理特征能否准确预测前列腺癌症分级?
Pub Date : 2018-05-11 DOI: 10.21037/JMAI.2018.11.01
V. Stavrinides, L. C. Echeverria, H. Whitaker
The diagnostic landscape of prostate cancer has evolved rapidly, from prostate-specific antigen (PSA) testing to exciting new technologies that allow visualization of the disease, moving away from random sampling to targeted biopsies. Multiparametric magnetic resonance imaging (mpMRI) is a new modality that combines T2-weighted (T2W), diffusion-weighted (DW) and dynamic contrast-enhanced (DCE) sequences, each designed to reveal specific microstructural features typically associated with malignancy such as increased vascularity and cellularity.
从前列腺特异性抗原(PSA)检测到允许疾病可视化的令人兴奋的新技术,从随机采样到靶向活检,癌症的诊断格局已经迅速发展。多参数磁共振成像(mpMRI)是一种新的模式,它结合了T2加权(T2W)、扩散加权(DW)和动态对比增强(DCE)序列,每种序列都旨在揭示通常与恶性肿瘤相关的特定微观结构特征,如血管和细胞增加。
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引用次数: 0
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Journal of medical artificial intelligence
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