相关实验视频

Updated: Sep 18, 2025

Quantification of Breast Cancer Cell Invasiveness Using a Three-dimensional 3D Model
08:08

Quantification of Breast Cancer Cell Invasiveness Using a Three-dimensional 3D Model

Published on: June 11, 2014

15.9K

一个可解释模型的多站点验证,以分析乳腺质量

Luke Moffett1, Alina Jade Barnett1, Jon Donnelly1

  • 1Department of Computer Science, Duke University, Durham, North Carolina, United States of America.

PloS one
|June 26, 2025
PubMed
概括

这项研究验证了一种可解释的深度学习模型,用于预测乳腺损伤恶性瘤. 虽然性能在外部略有下降,但该型号的性能略有下降.

更多相关视频

Studying Triple Negative Breast Cancer Using Orthotopic Breast Cancer Model09:29

Studying Triple Negative Breast Cancer Using Orthotopic Breast Cancer Model

Published on: March 20, 2020

18.2K
Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model07:15

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model

Published on: August 16, 2020

6.9K

相关概念视频

Data Validation01:03

Data Validation

Data validation is an essential part of a comprehensive assessment. Validation is confirming or verifying and opening the door to gathering more assessment data as it clarifies vague or unclear data. The process of checking and verifying the collected information is called data validation. The primary purpose of data validation is to ensure data is as free from error, bias, and misinterpretation as possible.
Nursing assessment guides are generally based on holistic models rather than medical...
5.4K