no code implementations • 8 Sep 2023 • Jakub R. Kaczmarzyk, Alan O'Callaghan, Fiona Inglis, Tahsin Kurc, Rajarsi Gupta, Erich Bremer, Peter Bankhead, Joel H. Saltz
The field of digital pathology has seen a proliferation of deep learning models in recent years.
1 code implementation • 7 Apr 2023 • Erich Bremer, Tammy DiPrima, Joseph Balsamo, Jonas Almeida, Rajarsi Gupta, Joel Saltz
Halcyon is a new pathology imaging analysis and feature management system based on W3C linked-data open standards and is designed to scale to support the needs for the voluminous production of features from deep-learning feature pipelines.
1 code implementation • 4 Jul 2022 • Praphulla MS Bhawsar, Erich Bremer, Máire A Duggan, Stephen Chanock, Montserrat Garcia-Closas, Joel Saltz, Jonas S Almeida
Whole slide imaging (WSI) has become the primary modality for digital pathology data.
no code implementations • 30 Mar 2022 • Ujjwal Baid, Sarthak Pati, Tahsin M. Kurc, Rajarsi Gupta, Erich Bremer, Shahira Abousamra, Siddhesh P. Thakur, Joel H. Saltz, Spyridon Bakas
We evaluate the performance of federated learning (FL) in developing deep learning models for analysis of digitized tissue sections.
no code implementations • 13 May 2020 • Erich Bremer, Jonas Almeida, Joel Saltz
In this paper we propose using Hilbert Curves simultaneously for spatial indexing and as a polygonal ROI representation.
1 code implementation • 26 May 2019 • Han Le, Rajarsi Gupta, Le Hou, Shahira Abousamra, Danielle Fassler, Tahsin Kurc, Dimitris Samaras, Rebecca Batiste, Tianhao Zhao, Arvind Rao, Alison L. Van Dyke, ASHISH SHARMA, Erich Bremer, Jonas S. Almeida, Joel Saltz
Quantitative assessment of Tumor-TIL spatial relationships is increasingly important in both basic science and clinical aspects of breast cancer research.