日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Deep learning generates synthetic cancer histology for explainability and education

深度学习生成合成癌症组织学,以增强可解释性和教育意义。

Dolezal, James M; Wolk, Rachelle; Hieromnimon, Hanna M; Howard, Frederick M; Srisuwananukorn, Andrew; Karpeyev, Dmitry; Ramesh, Siddhi; Kochanny, Sara; Kwon, Jung Woo; Agni, Meghana; Simon, Richard C; Desai, Chandni; Kherallah, Raghad; Nguyen, Tung D; Schulte, Jefree J; Cole, Kimberly; Khramtsova, Galina; Garassino, Marina Chiara; Husain, Aliya N; Li, Huihua; Grossman, Robert; Cipriani, Nicole A; Pearson, Alexander T

Uncertainty-informed deep learning models enable high-confidence predictions for digital histopathology

不确定性信息深度学习模型能够对数字组织病理学进行高置信度预测

Dolezal, James M; Srisuwananukorn, Andrew; Karpeyev, Dmitry; Ramesh, Siddhi; Kochanny, Sara; Cody, Brittany; Mansfield, Aaron S; Rakshit, Sagar; Bansal, Radhika; Bois, Melanie C; Bungum, Aaron O; Schulte, Jefree J; Vokes, Everett E; Garassino, Marina Chiara; Husain, Aliya N; Pearson, Alexander T