A novel pipeline employing deep multi-attention channels network for the autonomous detection of metastasizing cells through fluorescence microscopy.

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Bibliographic Details
Title: A novel pipeline employing deep multi-attention channels network for the autonomous detection of metastasizing cells through fluorescence microscopy.
Authors: Mamalakis M; School of Electrical and Electronic Engineering, University of Sheffield, Sheffield, UK; Insigneo Institute for in-silico, Medicine, University of Sheffield, Sheffield, UK; Department of Infection, Immunity and Cardiovascular Disease, and Department of Computer science, Sheffield, UK; Department of Psychiatry, Cambridge University, Cambridge, UK. Electronic address: co4mma@sheffield.ac.uk., Macfarlane SC; Department of Oncology and Metabolism, The Medical School, University of Sheffield, Sheffield, UK., Notley SV; Insigneo Institute for in-silico, Medicine, University of Sheffield, Sheffield, UK; Department of Automatic Control and Systems Engineering, University of Sheffield, Sheffield, UK., Gad AKB; Insigneo Institute for in-silico, Medicine, University of Sheffield, Sheffield, UK; Department of Oncology and Metabolism, The Medical School, University of Sheffield, Sheffield, UK; Madeira Chemistry Research Centre, University of Madeira, Funchal, Portugal; Department of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden., Panoutsos G; School of Electrical and Electronic Engineering, University of Sheffield, Sheffield, UK; Insigneo Institute for in-silico, Medicine, University of Sheffield, Sheffield, UK; Department of Oncology and Metabolism, The Medical School, University of Sheffield, Sheffield, UK. Electronic address: g.panoutsos@sheffield.ac.uk.
Source: Computers in biology and medicine [Comput Biol Med] 2024 Oct; Vol. 181, pp. 109052. Date of Electronic Publication: 2024 Aug 30.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Elsevier Country of Publication: United States NLM ID: 1250250 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-0534 (Electronic) Linking ISSN: 00104825 NLM ISO Abbreviation: Comput Biol Med Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1879-0534
DOI:10.1016/j.compbiomed.2024.109052