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#深度学习#

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的患者来说是极其重要的。有研究显示，更高的脊柱生长潜力与更大的畸形恶化的可能性相对应。为了改善预后，准确地确定眷柱的生长潜力是十分必要的，以表明畸形是否会保持静止。正确评估脊柱生长潜力使临床医生能够确定治疗契机，并确定适当的治疗干预措施，以确保畸形的有效控制，最终防止其进展到非手术治疗效果较差的晚期。, objectTitle=深度学习, objectType=topic, longId=66123, objectId=null, topicUrl=null, isHasObj=0, objectCover=https://img.medsci.cn/202301012/1697149832036_4754896.jpeg, objectUrl=null, replyNumber=0, likeNumber=54, createdTime=2024-07-13, rootId=0, userName=yangchou, userId=88b489038, projectId=1, avatar=http://thirdwx.qlogo.cn/mmopen/vi_32/Q0j4TwGTfTJlfgys76DEiaNtbYo2re3ibjrUPTRibEXRyFwAB4aAGiave842S0FQDf0wAoaH226NiaSoPPDzhndsf1g/132, status=1, hasArticle=0, attachment=null, ipAttribution=浙江省, moduleDTOList=null, followStatus=false, userIsMember=false, type=1, lengthMark=1), GetTopicListResponse(id=2214615, encodeId=9716221461574, content=<a href='/topic/show?id=3b1484506af' target=_blank style='color:#2F92EE;'>#脊柱#</a> <a href='/topic/show?id=e4cb6612395' target=_blank style='color:#2F92EE;'>#深度学习#</a>, objectTitle=European Radiology：EOS x线片上基于深度学习的脊柱生长潜力识别, objectType=article, longId=834283, objectId=e57b834283a3, topicUrl=null, isHasObj=0, objectCover=https://img.medsci.cn/20240712/1720769993597_92910.jpg, objectUrl=/article/show_article.do?id=e57b834283a3, replyNumber=0, likeNumber=0, createdTime=2024-07-12, rootId=0, userName=梅斯管理员, userId=cade5395722, projectId=1, avatar=, status=1, hasArticle=1, attachment=null, ipAttribution=上海, moduleDTOList=[ModuleDTO(moduleId=e57b834283a3, moduleTitle=European Radiology：EOS x线片上基于深度学习的脊柱生长潜力识别, moduleType=article, hrefUrl=https://www.medsci.cn/article/show_article.do?id=e57b834283a3)], followStatus=false, userIsMember=false, type=null, lengthMark=0), GetTopicListResponse(id=2213685, encodeId=463522136852c, content=<a href='/topic/show?id=e4cb6612395' target=_blank style='color:#2F92EE;'>#深度学习#</a> 尽管在过去的十年中，诊断学和治疗学取得了进展，然而肺癌仍然是全世界最常见的癌症死亡原因。肺癌患者的5年生存率低，1期为57%，IV期为3%[.为了精确的风险分层和随后的治疗优化，临床上迫切需要一个比分期系统更好的预测工具。深度学习 (DL) 模型在分析 CT 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深度学习

2020-05-29发表于威斯康星

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#深度学习# #自闭症儿童#

JAMA子刊：深度学习算法识别和量化自闭症儿童的刻板运动行为的准确性

21小时前发表于上海

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#乳腺癌# #深度学习#

Radiology：可乳腺癌风险预测的新兴深度学习模型！

2024-09-06发表于上海

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#椎体骨折# #深度学习#

European Radiology：深度学习在多探测器CT上鉴别良恶性椎体骨折的能力及价值

2024-09-03发表于上海

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#骨肿瘤# #深度学习# #OCR 2024#

OCR 2024 | 洪楠教授：深度学习在骨肿瘤的研究进展

2024-08-26发表于上海

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#CTA# #深度学习#

Radiology：基于生成对抗网络的主动脉和颈动脉CT血管造影

2024-08-03发表于上海

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#乳腺癌# #深度学习#

Radiology:利用深度学习进行乳腺癌筛查分类:一项英国回顾性研究。

2024-08-02发表于上海

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#抑郁症# #DNA甲基化# #深度学习#

Translational Psychiatry：基于机器学习和深度学习方法对抑郁症相关血液DNA甲基化的全面多队列探索

2024-07-28发表于上海

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#深度学习# #乳腺钼靶#

European Radiology：深度学习在乳腺钼靶中预测浸润性乳腺癌广泛导管内成分的能力及价值

2024-07-23发表于上海

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#深度学习# #甲状腺实性结节#

European Radiology:深度学习辅助成分分类和甲状腺实性结节的诊断

2024-07-22发表于上海

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全文收起 #深度学习# 脊柱生长潜力的确定对于患有脊柱疾病的年轻患者，特别是那些患有发育相关畸形(如脊柱侧、后凸) 的患者来说是极其重要的。有研究显示，更高的脊柱生长潜力与更大的畸形恶化的可能性相对应。为了改善预后，准确地确定眷柱的生长潜力是十分必要的，以表明畸形是否会保持静止。正确评估脊柱生长潜力使临床医生能够确定治疗契机，并确定适当的治疗干预措施，以确保畸形的有效控制，最终防止其进展到非手术治疗效果较差的晚期。

2024-07-13发表于浙江省

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