BACKGROUND Esophageal adenocarcinoma(EAC)derived from long-segment Barrett’s esophagus(LSBE)is extremely rare in Asia.LSBE-related EAC is often difficult to diagnose in the horizontal extent.If the tumor has spread t...BACKGROUND Esophageal adenocarcinoma(EAC)derived from long-segment Barrett’s esophagus(LSBE)is extremely rare in Asia.LSBE-related EAC is often difficult to diagnose in the horizontal extent.If the tumor has spread throughout the LSBE,whole circumferential endoscopic submucosal dissection(ESD)should be performed,which is difficult to complete safely.Additionally,whole circumferential ESD can bring refractory postoperative stenosis.We hereby report a case of EAC involving the whole circumference of the LSBE,achieving complete endoscopic removal without complications.CASE SUMMARY An 85-year-old man with the chief complaint of dysphagia underwent esophagogastroduodenoscopy.We suspected a flat-type cancerous lesion that extended the whole circumference of the LSBE(C 3.5,M 4.0)using narrow-band imaging magnification endoscopy(NBI-M).We achieved circumferential en bloc resection of the lesion safely with special ESD techniques.Histology of the ESD specimens demonstrated that the superficial EAC extended the whole circumference of the LSBE,and papillary or well-differentiated tubular adenocarcinoma was confined in the lamina propria mucosa showing a vertical negative margin.To prevent post-ESD stenosis,we performed endoscopic local injection of steroids,followed by oral administration of steroids.There was no evidence of esophageal refractory stenosis or tumor recurrence 30 mo after ESD.In summary,we experienced a rare case of LSBE-related EAC.The horizontal tumor extent was accurately diagnosed by NBI-M.Additionally,we achieve whole circumferential ESD safely without postoperative refractory stenosis.CONCLUSION NBI-M,ESD,and steroid therapy enabled the curative resection of superficial full circumferential LSBE-related EAC without refractory postoperative stenosis.展开更多
Objective To investigate the operative method and evaluate the clinical outcomes of long proximal femoral nail anti-rotation (PFNA-long) in treating long-segment fracture in middle-up part of femoral bone.Methods From...Objective To investigate the operative method and evaluate the clinical outcomes of long proximal femoral nail anti-rotation (PFNA-long) in treating long-segment fracture in middle-up part of femoral bone.Methods From June 2006 to展开更多
针对畜禽疫病文本语料匮乏、文本内包含大量疫病名称及短语等未登录词问题,提出了一种结合词典匹配的BERT-BiLSTM-CRF畜禽疫病文本分词模型。以羊疫病为研究对象,构建了常见疫病文本数据集,将其与通用语料PKU结合,利用BERT(Bidirectiona...针对畜禽疫病文本语料匮乏、文本内包含大量疫病名称及短语等未登录词问题,提出了一种结合词典匹配的BERT-BiLSTM-CRF畜禽疫病文本分词模型。以羊疫病为研究对象,构建了常见疫病文本数据集,将其与通用语料PKU结合,利用BERT(Bidirectional encoder representation from transformers)预训练语言模型进行文本向量化表示;通过双向长短时记忆网络(Bidirectional long short-term memory network,BiLSTM)获取上下文语义特征;由条件随机场(Conditional random field,CRF)输出全局最优标签序列。基于此,在CRF层后加入畜禽疫病领域词典进行分词匹配修正,减少在分词过程中出现的疫病名称及短语等造成的歧义切分,进一步提高了分词准确率。实验结果表明,结合词典匹配的BERT-BiLSTM-CRF模型在羊常见疫病文本数据集上的F1值为96.38%,与jieba分词器、BiLSTM-Softmax模型、BiLSTM-CRF模型、未结合词典匹配的本文模型相比,分别提升11.01、10.62、8.3、0.72个百分点,验证了方法的有效性。与单一语料相比,通用语料PKU和羊常见疫病文本数据集结合的混合语料,能够同时对畜禽疫病专业术语及疫病文本中常用词进行准确切分,在通用语料及疫病文本数据集上F1值都达到95%以上,具有较好的模型泛化能力。该方法可用于畜禽疫病文本分词。展开更多
研究探讨了使用预训练的Pegasus模型进行长文本摘要时,不同文本分割方法对摘要质量的影响。收集来自知网的200篇关于STM32单片机的学术论文作为实验文本,比较了滑动窗口、句子分割、段落分割及滑动窗口加句子分割四种分割法的长文本摘...研究探讨了使用预训练的Pegasus模型进行长文本摘要时,不同文本分割方法对摘要质量的影响。收集来自知网的200篇关于STM32单片机的学术论文作为实验文本,比较了滑动窗口、句子分割、段落分割及滑动窗口加句子分割四种分割法的长文本摘要生成效果。实验使用ROUGE(Recall-Oriented Understudy for Gisting Evaluation)指标对生成的摘要进行评估,并对实验结果进行了详细分析。在生成摘要的质量方面,段落分割法表现出色,其ROUGE-1、ROUGE-2和ROUGE-L评分分别达到了30.85、7.60和20.15,轻微超过了句子分割法的评分,且显著优于句子分割加滑动窗口法。该研究旨在为研究者和开发者提供关于长文本摘要的实践经验和见解。展开更多
文摘BACKGROUND Esophageal adenocarcinoma(EAC)derived from long-segment Barrett’s esophagus(LSBE)is extremely rare in Asia.LSBE-related EAC is often difficult to diagnose in the horizontal extent.If the tumor has spread throughout the LSBE,whole circumferential endoscopic submucosal dissection(ESD)should be performed,which is difficult to complete safely.Additionally,whole circumferential ESD can bring refractory postoperative stenosis.We hereby report a case of EAC involving the whole circumference of the LSBE,achieving complete endoscopic removal without complications.CASE SUMMARY An 85-year-old man with the chief complaint of dysphagia underwent esophagogastroduodenoscopy.We suspected a flat-type cancerous lesion that extended the whole circumference of the LSBE(C 3.5,M 4.0)using narrow-band imaging magnification endoscopy(NBI-M).We achieved circumferential en bloc resection of the lesion safely with special ESD techniques.Histology of the ESD specimens demonstrated that the superficial EAC extended the whole circumference of the LSBE,and papillary or well-differentiated tubular adenocarcinoma was confined in the lamina propria mucosa showing a vertical negative margin.To prevent post-ESD stenosis,we performed endoscopic local injection of steroids,followed by oral administration of steroids.There was no evidence of esophageal refractory stenosis or tumor recurrence 30 mo after ESD.In summary,we experienced a rare case of LSBE-related EAC.The horizontal tumor extent was accurately diagnosed by NBI-M.Additionally,we achieve whole circumferential ESD safely without postoperative refractory stenosis.CONCLUSION NBI-M,ESD,and steroid therapy enabled the curative resection of superficial full circumferential LSBE-related EAC without refractory postoperative stenosis.
文摘Objective To investigate the operative method and evaluate the clinical outcomes of long proximal femoral nail anti-rotation (PFNA-long) in treating long-segment fracture in middle-up part of femoral bone.Methods From June 2006 to
文摘针对畜禽疫病文本语料匮乏、文本内包含大量疫病名称及短语等未登录词问题,提出了一种结合词典匹配的BERT-BiLSTM-CRF畜禽疫病文本分词模型。以羊疫病为研究对象,构建了常见疫病文本数据集,将其与通用语料PKU结合,利用BERT(Bidirectional encoder representation from transformers)预训练语言模型进行文本向量化表示;通过双向长短时记忆网络(Bidirectional long short-term memory network,BiLSTM)获取上下文语义特征;由条件随机场(Conditional random field,CRF)输出全局最优标签序列。基于此,在CRF层后加入畜禽疫病领域词典进行分词匹配修正,减少在分词过程中出现的疫病名称及短语等造成的歧义切分,进一步提高了分词准确率。实验结果表明,结合词典匹配的BERT-BiLSTM-CRF模型在羊常见疫病文本数据集上的F1值为96.38%,与jieba分词器、BiLSTM-Softmax模型、BiLSTM-CRF模型、未结合词典匹配的本文模型相比,分别提升11.01、10.62、8.3、0.72个百分点,验证了方法的有效性。与单一语料相比,通用语料PKU和羊常见疫病文本数据集结合的混合语料,能够同时对畜禽疫病专业术语及疫病文本中常用词进行准确切分,在通用语料及疫病文本数据集上F1值都达到95%以上,具有较好的模型泛化能力。该方法可用于畜禽疫病文本分词。
文摘研究探讨了使用预训练的Pegasus模型进行长文本摘要时,不同文本分割方法对摘要质量的影响。收集来自知网的200篇关于STM32单片机的学术论文作为实验文本,比较了滑动窗口、句子分割、段落分割及滑动窗口加句子分割四种分割法的长文本摘要生成效果。实验使用ROUGE(Recall-Oriented Understudy for Gisting Evaluation)指标对生成的摘要进行评估,并对实验结果进行了详细分析。在生成摘要的质量方面,段落分割法表现出色,其ROUGE-1、ROUGE-2和ROUGE-L评分分别达到了30.85、7.60和20.15,轻微超过了句子分割法的评分,且显著优于句子分割加滑动窗口法。该研究旨在为研究者和开发者提供关于长文本摘要的实践经验和见解。
