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

Automatic labels are as effective as manual labels in digital pathology images classification with deep learning

在利用深度学习进行数字病理图像分类时,自动标签与人工标签的效果一样好。

Marini, Niccolo; Marchesin, Stefano; Ferris, Lluis Borras; Püttmann, Simon; Wodzinski, Marek; Fratti, Riccardo; Podareanu, Damian; Caputo, Alessandro; Boytcheva, Svetla; Vatrano, Simona; Fraggetta, Filippo; Nagtegaal, Iris; Silvello, Gianmaria; Atzori, Manfredo; Müller, Henning

Unleashing the potential of digital pathology data by training computer-aided diagnosis models without human annotations

通过训练无需人工标注的计算机辅助诊断模型,释放数字病理数据的潜力

Marini, Niccolò; Marchesin, Stefano; Otálora, Sebastian; Wodzinski, Marek; Caputo, Alessandro; van Rijthoven, Mart; Aswolinskiy, Witali; Bokhorst, John-Melle; Podareanu, Damian; Petters, Edyta; Boytcheva, Svetla; Buttafuoco, Genziana; Vatrano, Simona; Fraggetta, Filippo; van der Laak, Jeroen; Agosti, Maristella; Ciompi, Francesco; Silvello, Gianmaria; Muller, Henning; Atzori, Manfredo

Event generation and statistical sampling for physics with deep generative models and a density information buffer

利用深度生成模型和密度信息缓冲区进行物理事件生成和统计采样

Otten, Sydney; Caron, Sascha; de Swart, Wieske; van Beekveld, Melissa; Hendriks, Luc; van Leeuwen, Caspar; Podareanu, Damian; Ruiz de Austri, Roberto; Verheyen, Rob

Predicting atmospheric optical properties for radiative transfer computations using neural networks

利用神经网络预测大气光学特性以进行辐射传输计算

Veerman, Menno A; Pincus, Robert; Stoffer, Robin; van Leeuwen, Caspar M; Podareanu, Damian; van Heerwaarden, Chiel C