相关实验视频

Updated: Mar 12, 2026

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
05:33

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Published on: July 11, 2025

1.3K

人工智能用于检测卵巢癌的诊断准确性 - - 一项试点研究

Dipanwita Banerjee1, Ashok Sharma2, Ekta Dhamija3

  • 1Chittaranjan National Cancer Institute (CNCI), Kolkata, India.

Frontiers in medicine
|March 11, 2026
PubMed
概括

机器学习模型准确诊断了卵巢癌,将其与良性质量区分开来. 随机森林模型实现了最高的准确性,显示临床应用的希望等待更大的研究.

关键词:
人工智能和卵巢癌在卵巢癌中的ML.在卵巢癌中使用人工智能通过人工智能诊断卵巢癌.在卵巢癌中的机器学习卵巢癌和人工智能

更多相关视频

Detection and Isolation of Cancer in Prostate Biopsies Using Stimulated Raman Histology and Artificial Intelligence08:05

Detection and Isolation of Cancer in Prostate Biopsies Using Stimulated Raman Histology and Artificial Intelligence

Published on: June 10, 2025

1.3K
A Coregistered Ultrasound and Photoacoustic Imaging Protocol for the Transvaginal Imaging of Ovarian Lesions10:21

A Coregistered Ultrasound and Photoacoustic Imaging Protocol for the Transvaginal Imaging of Ovarian Lesions

Published on: March 3, 2023

2.4K

相关概念视频

Receiver Operating Characteristic Plot01:15

Receiver Operating Characteristic Plot

A ROC (Receiver Operating Characteristic) plot is a graphical tool used to assess the performance of a binary classification model by illustrating the trade-off between sensitivity (true positive rate) and specificity (false positive rate). By plotting sensitivity against 1 - specificity across various threshold settings, the ROC curve shows how well the model distinguishes between classes, with a curve closer to the top-left corner indicating a more accurate model. The area under the ROC curve...
555