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Journal of Zhejiang University SCIENCE B

ISSN 1673-1581(Print), 1862-1783(Online), Monthly

Application of interim PET-CT in first-line treatment decision-making for lymphoma

Abstract: Recent advances in lymphoma treatment have significantly improved the survival of patients; however, the current approaches also have varying side effects. To overcome these, it is critical to implement individualized treatment according to the patient’s condition. Therefore, the early identification of high-risk groups and targeted treatment are important strategies for prolonging the survival time and improving the quality of life of patients. Interim positron emission tomography-computed tomography (PET-CT) has a high prognostic value, which can reflect chemosensitivity and identify patients for whom treatment may fail under this regimen. To date, many prospective clinical studies on interim PET (iPET)‍-adapted therapy have been conducted. In this review, we focus on the treatment strategies entailed in these studies, as well as the means and timing of iPET assessment, with the aim of exploring the efficacy and existing issues regarding iPET-adapted treatment. It is expected that the improved use of PET-CT examination can facilitate treatment decision-making to identify precise treatment options.

Key words: Positron emission tomography-computed tomography (PET-CT); Lymphoma; Interim PET (iPET)‍-adapted therapy

Chinese Summary  <9> 具备合适教师的多出口自蒸馏

孙武杰,陈德仿,王灿,叶德仕,冯雁,陈纯
浙江大学计算机科学与技术学院,中国杭州市,310000
摘要:多出口架构允许早停推理以减少计算成本,这使其可以在资源受限的情况下使用。最近的研究将多出口架构与自蒸馏相结合,以在不同网络深度上同时实现高效率和卓越性能。然而,现有方法主要从深层出口或单一集成中传递知识,以指导所有出口,而没有考虑学生和教师之间不适当的学习差距可能会降低模型性能,特别是对于浅层出口而言。为解决这个问题,提出具备合适教师的多出口自蒸馏方法,为每个出口提供多样化且适当的教师知识。在我们的方法中,根据不同可训练的集成权重,从所有出口获得多个集成教师。每个出口从所有教师那里接收知识,并重点关注其所对应的主教师,以保持适当的学习差距并实现高效的知识传递。通过这种方式,我们的方法在保证学习效率的同时实现了多样化的知识蒸馏。在CIFAR-100、TinyImageNet以及3个细粒度数据集上的实验结果表明,我们的方法在各种网络架构中始终优于最先进的多出口自蒸馏方法。

关键词组:多出口架构;知识蒸馏;学习差距


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DOI:

10.1631/jzus.B2200644

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On-line Access:

2023-06-26

Received:

2022-12-11

Revision Accepted:

2023-04-16

Crosschecked:

2023-09-26

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