Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Skin Cancer01:30

Skin Cancer

4.6K
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...
4.6K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Nonlinear hydrothermal associations between coupled landscape ecological risk and resilience in a major grain-producing region of China.

Journal of environmental management·2026
Same author

LangSurf: Language-Embedded Surface Gaussians for 3D Scene Understanding.

IEEE transactions on pattern analysis and machine intelligence·2026
Same author

A novel multi-task deep learning framework for classification and detection of intracranial structures in first-trimester fetal ultrasound images.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)·2026
Same author

A new strategy for improving the precision and accuracy of isotope ratio analysis by quadrupole ICP-MS with the optimization of ion beam trajectory.

Analytical methods : advancing methods and applications·2026
Same author

Time-lapse ERT monitoring of the MPE-induced cone of depression at a low-permeability NAPL site: A field-based quantitative assessment of array-dependent geometric fidelity.

Journal of contaminant hydrology·2026
Same author

Molecular biology of targeting lymphangiogenesis in cancer: Therapeutic strategies and future promise.

Fundamental research·2026
Same journal

Peripheral B-cell receptor repertoire predicts immune-related adverse events following immune checkpoint inhibitor therapy in advanced renal cell carcinoma.

Scientific reports·2026
Same journal

Effects of black soldier fly (Hermetia illucens L.) larvae zoocompost on the mineral element content of blue honeysuckle berries.

Scientific reports·2026
Same journal

Investigation on absorption refrigeration performance of R1243zf with imidazolium ionic liquid as the working pairs.

Scientific reports·2026
Same journal

DeepTriage-CN: integrating clinical text with vital signs for emergency department admission prediction in an aging population.

Scientific reports·2026
Same journal

Gold nanoparticles as dual-action antiviral agents: disruption of SARS-CoV-2 viral envelopes and RNA integrity.

Scientific reports·2026
Same journal

Comparison of capillary microsampling and venous blood for multi-pathogen serosurveillance.

Scientific reports·2026
查看所有相关文章

相关实验视频

Updated: Sep 15, 2025

Quantitative Visualization and Detection of Skin Cancer Using Dynamic Thermal Imaging
06:08

Quantitative Visualization and Detection of Skin Cancer Using Dynamic Thermal Imaging

Published on: May 5, 2011

16.9K

为皮肤病变图像分类逐步自知蒸.

Jian Zheng1,2, Kewei Xie2, Dingwen Zhang2

  • 1Yichun Lithium New Energy Industry Research Institute, Jiangxi University of Science and Technology, No. 5 Chunhua Road, Yichun, 336000, Jiangxi, China.

Scientific reports
|July 12, 2025
PubMed
概括
此摘要是机器生成的。

这项研究引入了逐步自我知识蒸 (SW-SKD) 以改善皮肤学图像分类. SW-SKD通过通过特征和逻辑纠正来改进学习目标,提高学生模型性能,优于现有方法.

更多相关视频

Combining Reflectance Confocal Microscopy with Optical Coherence Tomography for Noninvasive Diagnosis of Skin Cancers via Image Acquisition
09:37

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

Published on: August 18, 2022

2.5K
Label-Free Identification of Lymphocyte Subtypes Using Three-Dimensional Quantitative Phase Imaging and Machine Learning
08:58

Label-Free Identification of Lymphocyte Subtypes Using Three-Dimensional Quantitative Phase Imaging and Machine Learning

Published on: November 19, 2018

12.7K

相关实验视频

Last Updated: Sep 15, 2025

Quantitative Visualization and Detection of Skin Cancer Using Dynamic Thermal Imaging
06:08

Quantitative Visualization and Detection of Skin Cancer Using Dynamic Thermal Imaging

Published on: May 5, 2011

16.9K
Combining Reflectance Confocal Microscopy with Optical Coherence Tomography for Noninvasive Diagnosis of Skin Cancers via Image Acquisition
09:37

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

Published on: August 18, 2022

2.5K
Label-Free Identification of Lymphocyte Subtypes Using Three-Dimensional Quantitative Phase Imaging and Machine Learning
08:58

Label-Free Identification of Lymphocyte Subtypes Using Three-Dimensional Quantitative Phase Imaging and Machine Learning

Published on: November 19, 2018

12.7K

科学领域:

  • 人工智能的人工智能
  • 计算机视觉 计算机视觉
  • 医疗成像医学成像

背景情况:

  • 自我认识蒸是医学图像分类的流行,使用相同的老师和学生模型.
  • 目前的方法在为学生模型定义有效的学习目标方面扎,限制了绩效增长.
  • 皮肤学图像分类需要强大的模型来准确诊断皮肤状况.

研究的目的:

  • 引入一种新的逐步自我认识蒸 (SW-SKD) 框架,以提高皮肤学图像分类.
  • 通过改善学习目标的确定来解决当前自我认识蒸的局限性.
  • 提高学生模型在皮肤学图像分类方面的表现.

主要方法:

  • 开发了SW-SKD框架,并采用了逐步蒸策略.
  • 整合了使用注意力纠正特征作为学习目标的特征纠正块 (FRB).
  • 实现了基于logit的知识蒸的logit纠正区块 (LRB),调整预测以匹配正确的指数.

主要成果:

  • 在HAM10000,ISIC2019和Dermnet数据集上,SW-SKD显著提高了皮肤学图像分类性能.
  • 在HAM10000上,与第二好的方法相比,精度提高了0.8%-1.4%,回忆率提高了0.9%-2.1%.
  • 在ISIC2019上,平均精度提高了0.5%-0.9%,平均召回提高了0.7%-1.1%.

结论:

  • 拟议的SW-SKD框架有效地提高了学生在皮肤学图像分类中的模型表现.
  • 使用FRB和LRB的逐步蒸与现有方法相比,提供了更高的学习目标.
  • 在医疗图像分析中,SW-SKD显示了提高诊断准确性的巨大潜力.