破解皮肤癌分类:通过研究人员的视角,见解和进展。

IF 3.8 2区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES
Amartya Ray, Sujan Sarkar, Friedhelm Schwenker, Ram Sarkar
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引用次数: 0

摘要

皮肤癌是一个重大的全球健康问题,及时准确的诊断在改善患者预后方面发挥着关键作用。近年来,计算机辅助诊断系统已成为自动皮肤癌分类的强大工具,彻底改变了皮肤病学领域。本调查分析了过去18年来发表的107篇研究论文,对分类技术的进步进行了全面评估,重点关注计算机视觉和人工智能(AI)在提高诊断准确性和可靠性方面的日益融合。本文首先概述了皮肤癌的基本概念,解决了准确分类的潜在挑战,并强调了传统诊断方法的局限性。广泛的检查致力于一系列数据集,包括HAM10000和ISIC档案,以及其他研究人员常用的数据集。探索然后深入到机器学习技术加上手工制作的功能,强调其固有的局限性。随后的部分提供了对基于深度学习的方法的全面调查,包括卷积神经网络、迁移学习、注意机制、集成技术、生成对抗网络、视觉转换器和分割引导的分类策略,详细介绍了为皮肤病变分析量身定制的各种架构。调查还揭示了用于分类的各种混合和多模式技术。通过批判性地分析每种方法并突出其局限性,本调查为研究人员提供了有关皮肤癌分类的最新进展,趋势和差距的宝贵见解。此外,它还为临床医生提供了关于整合人工智能工具以加强诊断决策过程的实用知识。这项综合分析旨在弥合研究和临床实践之间的差距,为人工智能社区进一步推进最先进的皮肤癌分类系统提供指导。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Decoding skin cancer classification: perspectives, insights, and advances through researchers' lens.

Skin cancer is a significant global health concern, with timely and accurate diagnosis playing a critical role in improving patient outcomes. In recent years, computer-aided diagnosis systems have emerged as powerful tools for automated skin cancer classification, revolutionizing the field of dermatology. This survey analyzes 107 research papers published over the last 18 years, providing a thorough evaluation of advancements in classification techniques, with a focus on the growing integration of computer vision and artificial intelligence (AI) in enhancing diagnostic accuracy and reliability. The paper begins by presenting an overview of the fundamental concepts of skin cancer, addressing underlying challenges in accurate classification, and highlighting the limitations of traditional diagnostic methods. Extensive examination is devoted to a range of datasets, including the HAM10000 and the ISIC archive, among others, commonly employed by researchers. The exploration then delves into machine learning techniques coupled with handcrafted features, emphasizing their inherent limitations. Subsequent sections provide a comprehensive investigation into deep learning-based approaches, encompassing convolutional neural networks, transfer learning, attention mechanisms, ensemble techniques, generative adversarial networks, vision transformers, and segmentation-guided classification strategies, detailing various architectures, tailored for skin lesion analysis. The survey also sheds light on the various hybrid and multimodal techniques employed for classification. By critically analyzing each approach and highlighting its limitations, this survey provides researchers with valuable insights into the latest advancements, trends, and gaps in skin cancer classification. Moreover, it offers clinicians practical knowledge on the integration of AI tools to enhance diagnostic decision-making processes. This comprehensive analysis aims to bridge the gap between research and clinical practice, serving as a guide for the AI community to further advance the state-of-the-art in skin cancer classification systems.

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来源期刊
Scientific Reports
Scientific Reports Natural Science Disciplines-
CiteScore
7.50
自引率
4.30%
发文量
19567
审稿时长
3.9 months
期刊介绍: We publish original research from all areas of the natural sciences, psychology, medicine and engineering. You can learn more about what we publish by browsing our specific scientific subject areas below or explore Scientific Reports by browsing all articles and collections. Scientific Reports has a 2-year impact factor: 4.380 (2021), and is the 6th most-cited journal in the world, with more than 540,000 citations in 2020 (Clarivate Analytics, 2021). •Engineering Engineering covers all aspects of engineering, technology, and applied science. It plays a crucial role in the development of technologies to address some of the world''s biggest challenges, helping to save lives and improve the way we live. •Physical sciences Physical sciences are those academic disciplines that aim to uncover the underlying laws of nature — often written in the language of mathematics. It is a collective term for areas of study including astronomy, chemistry, materials science and physics. •Earth and environmental sciences Earth and environmental sciences cover all aspects of Earth and planetary science and broadly encompass solid Earth processes, surface and atmospheric dynamics, Earth system history, climate and climate change, marine and freshwater systems, and ecology. It also considers the interactions between humans and these systems. •Biological sciences Biological sciences encompass all the divisions of natural sciences examining various aspects of vital processes. The concept includes anatomy, physiology, cell biology, biochemistry and biophysics, and covers all organisms from microorganisms, animals to plants. •Health sciences The health sciences study health, disease and healthcare. This field of study aims to develop knowledge, interventions and technology for use in healthcare to improve the treatment of patients.
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