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Pregled bibliografske jedinice broj: 969322

Automatic Detection of Neurons in NeuN-stained Histological Images of Human Brain


Štajduhar, Andrija; Džaja, Domagoj; Judaš, Miloš; Lončarić, Sven
Automatic Detection of Neurons in NeuN-stained Histological Images of Human Brain // Physica. A, Statistical mechanics and its applications, 519 (2019), 237-246 doi:10.1016/j.physa.2018.12.027 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 969322 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Automatic Detection of Neurons in NeuN-stained Histological Images of Human Brain

Autori
Štajduhar, Andrija ; Džaja, Domagoj ; Judaš, Miloš ; Lončarić, Sven

Izvornik
Physica. A, Statistical mechanics and its applications (0378-4371) 519 (2019); 237-246

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Neuron detection, Partial differential equations, Brain histology, NeuN

Sažetak
In this paper we propose a new method for automatic detection of neurons in histological sections of the human brain cortex, based on anisotropic diffusion. The anisotropic diffusion is modeled using a partial differential equation (PDE) and is applied to high resolution microscopy images of the brain in order to detect neurons. We also present a novel approach for PDE-model parameter optimization. Due to the issue of inter- observer variability, three human experts have manually annotated neurons in the image dataset on which the proposed method was trained. The average correlation in neuron detection between the human experts was 86.88%, while the average correlation between the proposed method and the human experts is 88.79%, which shows that the proposed method's performance is equal to that of human experts. Moreover, the proposed automatic method provides consistent and reproducible results on all sections and is much faster than human raters or other automatic methods. Additionally, the proposed method's output was verified by a human expert and has correctly distinguished 95.41% of neurons in the test images.

Izvorni jezik
Engleski

Znanstvena područja
Matematika, Interdisciplinarne prirodne znanosti, Računarstvo



POVEZANOST RADA


Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb,
Medicinski fakultet, Zagreb

Poveznice na cjeloviti tekst rada:

doi

Citiraj ovu publikaciju:

Štajduhar, Andrija; Džaja, Domagoj; Judaš, Miloš; Lončarić, Sven
Automatic Detection of Neurons in NeuN-stained Histological Images of Human Brain // Physica. A, Statistical mechanics and its applications, 519 (2019), 237-246 doi:10.1016/j.physa.2018.12.027 (međunarodna recenzija, članak, znanstveni)
Štajduhar, A., Džaja, D., Judaš, M. & Lončarić, S. (2019) Automatic Detection of Neurons in NeuN-stained Histological Images of Human Brain. Physica. A, Statistical mechanics and its applications, 519, 237-246 doi:10.1016/j.physa.2018.12.027.
@article{article, author = {\v{S}tajduhar, Andrija and D\v{z}aja, Domagoj and Juda\v{s}, Milo\v{s} and Lon\v{c}ari\'{c}, Sven}, year = {2019}, pages = {237-246}, DOI = {10.1016/j.physa.2018.12.027}, keywords = {Neuron detection, Partial differential equations, Brain histology, NeuN}, journal = {Physica. A, Statistical mechanics and its applications}, doi = {10.1016/j.physa.2018.12.027}, volume = {519}, issn = {0378-4371}, title = {Automatic Detection of Neurons in NeuN-stained Histological Images of Human Brain}, keyword = {Neuron detection, Partial differential equations, Brain histology, NeuN} }
@article{article, author = {\v{S}tajduhar, Andrija and D\v{z}aja, Domagoj and Juda\v{s}, Milo\v{s} and Lon\v{c}ari\'{c}, Sven}, year = {2019}, pages = {237-246}, DOI = {10.1016/j.physa.2018.12.027}, keywords = {Neuron detection, Partial differential equations, Brain histology, NeuN}, journal = {Physica. A, Statistical mechanics and its applications}, doi = {10.1016/j.physa.2018.12.027}, volume = {519}, issn = {0378-4371}, title = {Automatic Detection of Neurons in NeuN-stained Histological Images of Human Brain}, keyword = {Neuron detection, Partial differential equations, Brain histology, NeuN} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


Citati:





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