审美家 发表于 2025-3-21 16:08:06
书目名称Cross-Sectional Imaging of the Abdomen and Pelvis影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0240372<br><br> <br><br>书目名称Cross-Sectional Imaging of the Abdomen and Pelvis影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0240372<br><br> <br><br>书目名称Cross-Sectional Imaging of the Abdomen and Pelvis网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0240372<br><br> <br><br>书目名称Cross-Sectional Imaging of the Abdomen and Pelvis网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0240372<br><br> <br><br>书目名称Cross-Sectional Imaging of the Abdomen and Pelvis被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0240372<br><br> <br><br>书目名称Cross-Sectional Imaging of the Abdomen and Pelvis被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0240372<br><br> <br><br>书目名称Cross-Sectional Imaging of the Abdomen and Pelvis年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0240372<br><br> <br><br>书目名称Cross-Sectional Imaging of the Abdomen and Pelvis年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0240372<br><br> <br><br>书目名称Cross-Sectional Imaging of the Abdomen and Pelvis读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0240372<br><br> <br><br>书目名称Cross-Sectional Imaging of the Abdomen and Pelvis读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0240372<br><br> <br><br>buoyant 发表于 2025-3-21 22:22:54
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The Small Bowel,aging techniques have evolved substantially, allowing for accurate noninvasive visualization of the entire length of the small bowel which thereby helped in accurate detection of pathologies. This chapter discusses an algorithmic approach to techniques and illustrates a broad spectrum of disorders afflicting the small bowel.ALIEN 发表于 2025-3-22 05:03:54
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reinforce pattern recognition for interpretation and diagnos.This book offers concise descriptions of cross-sectional imaging studies of the abdomen and pelvis, supplemented with over 1100 high-quality images and discussion of state-of-the-art techniques. It is based on the most common clinical caseInterregnum 发表于 2025-3-22 15:34:02
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Book 2015nd discussion of state-of-the-art techniques. It is based on the most common clinical cases encountered in daily practice and uses an algorithmic approach to help radiologists arrive first at a working differential diagnosis and then reach an accurate diagnosis based on imaging features, which incorsemiskilled 发表于 2025-3-23 04:24:57
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