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Skin Cancer01:30

Skin Cancer

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Skin cancer is a type of cancer that occurs when there is an abnormal growth of skin cells, usually triggered by damage to the DNA within the skin cells. It is primarily caused by exposure to ultraviolet (UV) radiation from the sun or artificial sources like tanning beds. Skin cancer is the most common type of cancer worldwide, and its incidence continues to rise.
Basal Cell Carcinoma (BCC): BCC is the most common type of skin cancer, accounting for about 80% of cases. It typically develops in...
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Changes in Skin Color: Clinical Perspectives01:14

Changes in Skin Color: Clinical Perspectives

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The first thing a clinician sees is the skin, so the examination of the skin should be part of any thorough physical examination. Most skin disorders are relatively benign, but a few, including melanomas, can be fatal if untreated. A couple of the more noticeable disorders, albinism and vitiligo, affect the appearance of the skin and its accessory organs.
Albinism
Albinism is a genetic disorder that affects (completely or partially) the coloring of skin, hair, and eyes. The defect is primarily...
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相关实验视频

Updated: Jul 10, 2025

Combining Reflectance Confocal Microscopy with Optical Coherence Tomography for Noninvasive Diagnosis of Skin Cancers via Image Acquisition
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Combining Reflectance Confocal Microscopy with Optical Coherence Tomography for Noninvasive Diagnosis of Skin Cancers via Image Acquisition

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使用临床图像自动检测皮肤癌症:全面审查

Sana Nazari1, Rafael Garcia1

  • 1Computer Vision and Robotics Group, University of Girona, 17003 Girona, Spain.

Life (Basel, Switzerland)
|November 25, 2023
PubMed
概括
此摘要是机器生成的。

在临床图像上使用机器学习进行早期皮肤癌检测至关重要. 本次审查强调了需要更好的临床数据集和模型,以分析随时间推移的形模式.

关键词:
染色皮肤病变 (PSLs) 的自动诊断,计算机辅助诊断.临床皮肤图像 临床皮肤图像文献审查 文献审查黑色素瘤检测检测方法皮肤癌检测 皮肤癌检测

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Quantitative Visualization and Detection of Skin Cancer Using Dynamic Thermal Imaging
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Detection and Isolation of Cancer in Prostate Biopsies Using Stimulated Raman Histology and Artificial Intelligence

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相关实验视频

Last Updated: Jul 10, 2025

Combining Reflectance Confocal Microscopy with Optical Coherence Tomography for Noninvasive Diagnosis of Skin Cancers via Image Acquisition
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Combining Reflectance Confocal Microscopy with Optical Coherence Tomography for Noninvasive Diagnosis of Skin Cancers via Image Acquisition

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Quantitative Visualization and Detection of Skin Cancer Using Dynamic Thermal Imaging
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科学领域:

  • 皮肤病学 皮肤病学
  • 计算机科学 计算机科学
  • 医疗成像医学成像

背景情况:

  • 皮肤癌,特别是黑色素瘤,是一个日益关注的问题,需要早期检测.
  • 机器学习 (ML) 对皮肤癌的识别有前途,但大多数研究都使用皮肤显微镜图像.
  • 一般医生往往缺乏皮肤镜,依靠标准的临床图像进行诊断.

研究的目的:

  • 综合审查使用临床图像检测皮肤癌的图像处理技术.
  • 评估51篇最近的文章,重点是临床数据集中的皮肤癌检测ML方法.

主要方法:

  • 51篇最先进的研究文章的系统审查和分析.
  • 专注于利用机器学习用于从临床图像中检测皮肤癌的研究.

主要成果:

  • 与皮肤透视数据集相比,只有少数公开的临床图像数据集可用于基准测试.
  • 在ML模型中,当前的工件移除技术可能不足,并会对性能产生负面影响.
  • 大多数研究都分析单个损伤图像,忽略了患者特定的形状和时间变化.

结论:

  • 对于更大的标准化临床图像数据集,对于强大的ML模型开发有很大的需求.
  • 未来的研究应该解决人工物移除的挑战,并纳入纵向数据,以提高皮肤癌检测准确度.