Resource-Limited Automated Ki67 Index Estimation in Breast Cancer

Author:

Gliozzo Jessica1ORCID,Marinò Giosuè2ORCID,Bonometti Arturo3ORCID,Frasca Marco2ORCID,Malchiodi Dario4ORCID

Affiliation:

1. Computer Science, Università degli Studi di Milano, Italy and European Commission, Joint Research Centre, Italy

2. Computer Science, Università degli Studi di Milano, Italy

3. Biomedical Sciences, Humanitas University, Italy and Pathology, IRCCS Humanitas Clinical and Research Hospital, Italy

4. Computer Science & DSRC, Università degli Studi di Milano, Italy and CINI National Laboratory in Artificial Intelligence and Intelligent Systems, Italy

Funder

Italian MUR, PRIN project titled Multicriteria data structures and algorithms: from compressed to learned indexes, and beyond

Publisher

ACM

Reference57 articles.

1. Alaa Awad Abdellatif, Lutfi Samara, Amr M. Mohamed, Aiman Erbad, Carla-Fabiana Chiasserini, Mohsen Guizani, Mark Dennis O’Connor, and James Laughton. 2020. I-Health: Leveraging Edge Computing and Blockchain for Epidemic Management. ArXiv abs/2012.14294 (2020).

2. Computer-aided diagnosis for breast cancer classification using deep neural networks and transfer learning

3. Zeyuan Allen-Zhu, Yuanzhi Li, and Yingyu Liang. 2019. Learning and Generalization in Overparameterized Neural Networks, Going Beyond Two Layers. In Advances in Neural Inf. Process. Syst., Vol. 32. Curran Associates, Inc.

4. Yoshua Bengio, Ian Goodfellow, and Aaron Courville. 2017. Deep learning. Vol. 1. MIT press, Massachusetts, USA.

5. PathML: A unified framework for whole-slide image analysis with deep learning

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