登录后查看消息通知
搜索
常见问题
消息
登录
首页
/
数据集
/
Discrimination of melanoma from dysplastic nevi using individual marker via univariate logistic regression analysis.
Discrimination of melanoma from dysplastic nevi using individual marker via univariate logistic regression analysis.
收藏
Figshare
2015-12-02 更新
2026-04-29 收录
病变鉴别诊断
黑色素瘤分类
数据链接:
https://figshare.com/articles/dataset/_Discrimination_of_melanoma_from_dysplastic_nevi_using_individual_marker_via_univariate_logistic_regression_analysis_/239235
数据链接
链接失效反馈
官方服务:
问题咨询
购买咨询
在线客服
NEW
资源简介:
0, negative; 1, weak; 2, moderate; 3, strong.
应用场景:
创建时间:
2015-12-02
相关数据集
Comparison of patients and lesions characteristics between the slow flow group and non-slow flow group.
血流动力学
病变鉴别诊断
Comparison of patients and lesions characteristics between the slow flow group and non-slow flow group.
NIAID Data Ecosystem
7
0
Differentiation Between Pairs of Liver Lesions.
病变鉴别诊断
影像诊断
*denotes a statistically significant (p<0.05) areas under the curve values relative to a random test (AUC = 0.5). Bolded values denote AUC values significantly less than non-bolded values in a given r
NIAID Data Ecosystem
5
0
Comparison of ADC and DCE-MRI parameters between IDC patients and benign controls.
肿瘤影像组学
病变鉴别诊断
Comparison of ADC and DCE-MRI parameters between IDC patients and benign controls.
Figshare
2025-04-15 更新
2
0
Melanoma
黑色素瘤分类
生成对抗网络
Dataset of 2019 and 2020 for Melanoma Classification merged. Made for GAN trials
kaggle
2021-01-11 更新
7
0
Results of the melanoma SVM learning (this work).
黑色素瘤分类
皮肤病变分类
Legend: dn = dysplastic nevus, cn = common nevus. RBF kernel parameter: γ, polynomial kernel parameter: degree; #features = 252, partition: 10-fold CV. Resolutions: A = A + B = 2272 x 1704, B = 760 x
NIAID Data Ecosystem
3
0
© 2023-2026 上海数据发展科技有限责任公司 版权所有
沪ICP备17003045号-15
沪公网安备31010402336585号
热门搜索
社区交流群
科研交流群
商业服务
数据资源
寻源服务
数据采集
标注服务
数据产品
代理销售
数据领域
凭证登记
数据产品
介绍推广