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

Transformer-based approach for symptom recognition and multilingual linking

基于Transformer的症状识别和多语言链接方法

Vassileva, Sylvia; Grazhdanski, Georgi; Koychev, Ivan; Boytcheva, Svetla

Modelling digital health data: The ExaMode ontology for computational pathology

数字健康数据建模:用于计算病理学的 ExaMode 本体

Menotti, Laura; Silvello, Gianmaria; Atzori, Manfredo; Boytcheva, Svetla; Ciompi, Francesco; Di Nunzio, Giorgio Maria; Fraggetta, Filippo; Giachelle, Fabio; Irrera, Ornella; Marchesin, Stefano; Marini, Niccolò; Müller, Henning; Primov, Todor

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

Empowering digital pathology applications through explainable knowledge extraction tools

通过可解释的知识提取工具增强数字病理学应用

Marchesin, Stefano; Giachelle, Fabio; Marini, Niccolò; Atzori, Manfredo; Boytcheva, Svetla; Buttafuoco, Genziana; Ciompi, Francesco; Di Nunzio, Giorgio Maria; Fraggetta, Filippo; Irrera, Ornella; Müller, Henning; Primov, Todor; Vatrano, Simona; Silvello, Gianmaria