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Integrating Color D...
Integrating Color Deconvolution Thresholding and Weakly Supervised Learning for Automated Segmentation of Neurofibrillary Tangle and Neuropil Threads
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- Roh, Hyung S. (författare)
- University of Pennsylvania
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- Irwin, David J. (författare)
- University of Pennsylvania
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- López, Mónica Muñoz (författare)
- University of Castilla La Mancha
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visa fler...
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- de Onzoño Martin, Maria Mercedes Iñiguez (författare)
- University of Castilla La Mancha
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- Ittyerah, Ranjit (författare)
- University of Pennsylvania
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- Lim, Sydney (författare)
- University of Pennsylvania
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- Bedard, Madigan L. (författare)
- University of Pennsylvania
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- Robinson, John L. (författare)
- University of Pennsylvania
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- Schuck, Theresa (författare)
- University of Pennsylvania
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- Artacho-Pérula, Emilio (författare)
- University of Castilla La Mancha
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- del Mar Arroyo Jiménez, María (författare)
- University of Castilla La Mancha
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- Rabal, María Pilar Marcos (författare)
- University of Castilla La Mancha
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- Romero, Francisco Javier Molina (författare)
- University of Castilla La Mancha
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- Sánchez, Sandra Cebada (författare)
- University of Castilla La Mancha
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- González, José Carlos Delgado (författare)
- University of Castilla La Mancha
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- de la Rosa-Prieto, Carlos (författare)
- University of Castilla La Mancha
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- Parada, Marta Córcoles (författare)
- University of Castilla La Mancha
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- Lee, Edward B. (författare)
- University of Pennsylvania
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- Ohm, Daniel T. (författare)
- University of Pennsylvania
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- Wisse, Laura E.M. (författare)
- Lund University,Lunds universitet,Diagnostisk radiologi, Lund,Sektion V,Institutionen för kliniska vetenskaper, Lund,Medicinska fakulteten,LU profilområde: Proaktivt åldrande,Lunds universitets profilområden,Diagnostic Radiology, (Lund),Section V,Department of Clinical Sciences, Lund,Faculty of Medicine,LU Profile Area: Proactive Ageing,Lund University Profile areas
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- Wolk, David A. (författare)
- University of Pennsylvania
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- Gee, James C. (författare)
- University of Pennsylvania
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- Insausti, Ricardo (författare)
- University of Castilla La Mancha
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- Yushkevich, Paul A. (författare)
- University of Pennsylvania
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- Chen, Min (författare)
- University of Pennsylvania
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Tomaszewski, John E. (redaktör/utgivare)
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Ward, Aaron D. (redaktör/utgivare)
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(creator_code:org_t)
- 2023
- 2023
- Engelska.
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Ingår i: Medical Imaging 2023 : Digital and Computational Pathology - Digital and Computational Pathology. - 1605-7422. - 9781510660472 ; 12471
- Relaterad länk:
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http://dx.doi.org/10...
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https://lup.lub.lu.s...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- Abnormally phosphorylated tau proteins are known to be a major indicator of Alzheimer's Disease (AD) with strong association with memory loss and cognitive decline. Automated generation of pixel-wise accurate neurofibrillary tangles (NFTs) and neuropil threads (NTs) segmentation is a challenging task, due to lack of ground truth segmentation data of these abnormal tau pathology. This problem is most prominent in the case of segmenting NTs, where the small threadlike morphology makes pixel-wise labeling a laborious task and unrealistic for large-scale studies. Lack of ground truth data poses a significant limitation for many learning-based methods to generate accurate segmentations of NFTs and NTs. This work presents an automated pipeline for pixel level segmentation of NFTs and NTs that does not rely on ground truth segmentation data. The pipeline is composed of four main steps: (1) color deconvolution is used to separate histopathology images into staining channels (DAB, Hematoxylin, and Eosin), (2) Otsu's thresholding is used on the DAB stain channel to generate pixel level segmentation of abnormal tau proteins staining, (3) a weakly-supervised learning paradigm (WildCat), using only global descriptors of images, is used to generate density maps of potential regions of NFTs and NTs, and (4) density maps and segmentations are then integrated using connected component analysis to localize NFTs and NTs in the detected tau segmentations. Our results show high global classification accuracy for NFTs (Acc:0.96) and NTs (Acc:0.91), and statistically significant distinctions when evaluating the percent area occupied of the detected NTs relative to expert ratings of NTs severity. Qualitative assessment of the NFTs and NTs results showed accurate pixel-level segmentations of the NFTs, while modest performance for NTs.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Medicinteknik -- Medicinsk bildbehandling (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Medical Engineering -- Medical Image Processing (hsv//eng)
Nyckelord
- Color Deconvolution
- Histopathology Images
- Neurofibrillary Tangles
- Neuropil Threads
- Otsu's Thresholding
- Segmentation
- Weakly Supervised Learning
Publikations- och innehållstyp
- kon (ämneskategori)
- ref (ämneskategori)
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Till lärosätets databas
- Av författaren/redakt...
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Roh, Hyung S.
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Irwin, David J.
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López, Mónica Mu ...
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de Onzoño Martin ...
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Ittyerah, Ranjit
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Lim, Sydney
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visa fler...
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Bedard, Madigan ...
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Robinson, John L ...
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Schuck, Theresa
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Artacho-Pérula, ...
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del Mar Arroyo J ...
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Rabal, María Pil ...
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Romero, Francisc ...
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Sánchez, Sandra ...
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González, José C ...
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de la Rosa-Priet ...
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Parada, Marta Có ...
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Lee, Edward B.
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Ohm, Daniel T.
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Wisse, Laura E.M ...
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Wolk, David A.
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Gee, James C.
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Insausti, Ricard ...
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Yushkevich, Paul ...
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Chen, Min
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Tomaszewski, Joh ...
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Ward, Aaron D.
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visa färre...
- Om ämnet
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- TEKNIK OCH TEKNOLOGIER
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TEKNIK OCH TEKNO ...
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och Medicinteknik
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och Medicinsk bildbe ...
- Artiklar i publikationen
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Medical Imaging ...
- Av lärosätet
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Lunds universitet