A state-of-the-art survey of artificial neural networks for Whole-slide Image analysis: From popular Convolutional Neural Networks to potential visual transformers
- 23 May 2023
- journal article
- research article
- Published by Elsevier in Computers in Biology and Medicine
- Vol. 161, 107034
Abstract
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Funding Information
- National Natural Science Foundation of China (82220108007)
This publication has 91 references indexed in Scilit:
- Accuracy and perceptions of virtual microscopy compared with glass slide microscopy in cervical cytologyCytopathology, 2011
- Review of the current state of whole slide imaging in pathologyJournal of Pathology Informatics, 2011
- A systematic analysis of performance measures for classification tasksInformation Processing & Management, 2009
- User attitudes in analyzing digital slides in a quality control test bed: A preliminary studyComputer Methods and Programs in Biomedicine, 2006
- Artificial neural networks in renewable energy systems applications: a reviewRenewable and Sustainable Energy Reviews, 2001
- Solving the multiple instance problem with axis-parallel rectanglesArtificial Intelligence, 1997
- A review on image segmentation techniquesPattern Recognition, 1993
- Image segmentation techniquesComputer Vision, Graphics, and Image Processing, 1985
- Operating Characteristics, Signal Detectability, and the Method of Free ResponseThe Journal of the Acoustical Society of America, 1961
- A logical calculus of the ideas immanent in nervous activityBulletin of Mathematical Biology, 1943