FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4386142093> ?p ?o ?g. }

• W4386142093 abstract "Quantitative analysis of neurite growth and morphology is essential for understanding the determinants of neural development and regeneration, however, it is complicated by the labor-intensive process of measuring diverse parameters of neurite outgrowth. Consequently, automated approaches have been developed to study neurite morphology in a high-throughput and comprehensive manner. These approaches include computer-automated algorithms known as 'convolutional neural networks' (CNNs)-powerful models capable of learning complex tasks without the biases of hand-crafted models. Nevertheless, their complexity often relegates them to functioning as 'black boxes.' Therefore, research in the field of explainable AI is imperative to comprehend the relationship between CNN image analysis output and predefined morphological parameters of neurite growth in order to assess the applicability of these machine learning approaches. In this study, drawing inspiration from the field of automated feature selection, we investigate the correlation between quantified metrics of neurite morphology and the image analysis results from NeuriteNet-a CNN developed to analyze neurite growth. NeuriteNet accurately distinguishes images of neurite growth based on different treatment groups within two separate experimental systems. These systems differentiate between neurons cultured on different substrate conditions and neurons subjected to drug treatment inhibiting neurite outgrowth. By examining the model's function and patterns of activation underlying its classification decisions, we discover that NeuriteNet focuses on aspects of neuron morphology that represent quantifiable metrics distinguishing these groups. Additionally, it incorporates factors that are not encompassed by neuron morphology tracing analyses. NeuriteNet presents a novel tool ideally suited for screening morphological differences in heterogeneous neuron groups while also providing impetus for targeted follow-up studies." @default.
• W4386142093 created "2023-08-25" @default.
• W4386142093 creator A5018836634 @default.
• W4386142093 creator A5028189282 @default.
• W4386142093 creator A5039497346 @default.
• W4386142093 creator A5042328864 @default.
• W4386142093 creator A5052105577 @default.
• W4386142093 creator A5068058694 @default.
• W4386142093 creator A5071272620 @default.
• W4386142093 creator A5092690830 @default.
• W4386142093 creator A5048309778 @default.
• W4386142093 date "2023-08-24" @default.
• W4386142093 modified "2023-10-06" @default.
• W4386142093 title "Sensitivity of CNN image analysis to multifaceted measurements of neurite growth" @default.
• W4386142093 cites W1886548625 @default.
• W4386142093 cites W1921015850 @default.
• W4386142093 cites W1966976587 @default.
• W4386142093 cites W1988722345 @default.
• W4386142093 cites W1992701526 @default.
• W4386142093 cites W1998485893 @default.
• W4386142093 cites W1999478155 @default.
• W4386142093 cites W2017745767 @default.
• W4386142093 cites W2020665322 @default.
• W4386142093 cites W2033735712 @default.
• W4386142093 cites W2042967751 @default.
• W4386142093 cites W2049411502 @default.
• W4386142093 cites W2070468940 @default.
• W4386142093 cites W2085100552 @default.
• W4386142093 cites W2086955856 @default.
• W4386142093 cites W2093569233 @default.
• W4386142093 cites W2124568663 @default.
• W4386142093 cites W2127882138 @default.
• W4386142093 cites W2129888542 @default.
• W4386142093 cites W2169931542 @default.
• W4386142093 cites W2175643771 @default.
• W4386142093 cites W2282821441 @default.
• W4386142093 cites W2318902716 @default.
• W4386142093 cites W2471513101 @default.
• W4386142093 cites W2490270993 @default.
• W4386142093 cites W2540550614 @default.
• W4386142093 cites W2547711524 @default.
• W4386142093 cites W2611912209 @default.
• W4386142093 cites W2657631929 @default.
• W4386142093 cites W2770408890 @default.
• W4386142093 cites W2772323435 @default.
• W4386142093 cites W2789927929 @default.
• W4386142093 cites W2889352599 @default.
• W4386142093 cites W2910705748 @default.
• W4386142093 cites W2917631679 @default.
• W4386142093 cites W2967802864 @default.
• W4386142093 cites W2969880113 @default.
• W4386142093 cites W2981731882 @default.
• W4386142093 cites W2994209498 @default.
• W4386142093 cites W3004195071 @default.
• W4386142093 cites W3006424164 @default.
• W4386142093 cites W3025087901 @default.
• W4386142093 cites W3043374831 @default.
• W4386142093 cites W3049536867 @default.
• W4386142093 cites W3094739916 @default.
• W4386142093 cites W3113251869 @default.
• W4386142093 cites W3127426043 @default.
• W4386142093 cites W3130221793 @default.
• W4386142093 cites W3140854437 @default.
• W4386142093 cites W3144825495 @default.
• W4386142093 cites W3154954102 @default.
• W4386142093 cites W3184991941 @default.
• W4386142093 cites W3185002350 @default.
• W4386142093 cites W3190971135 @default.
• W4386142093 cites W3197771004 @default.
• W4386142093 cites W3198109508 @default.
• W4386142093 cites W3211317523 @default.
• W4386142093 cites W4294214983 @default.
• W4386142093 cites W4306404898 @default.
• W4386142093 doi "https://doi.org/10.1186/s12859-023-05444-4" @default.
• W4386142093 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/37620759" @default.
• W4386142093 hasPublicationYear "2023" @default.
• W4386142093 type Work @default.
• W4386142093 citedByCount "0" @default.
• W4386142093 crossrefType "journal-article" @default.
• W4386142093 hasAuthorship W4386142093A5018836634 @default.
• W4386142093 hasAuthorship W4386142093A5028189282 @default.
• W4386142093 hasAuthorship W4386142093A5039497346 @default.
• W4386142093 hasAuthorship W4386142093A5042328864 @default.
• W4386142093 hasAuthorship W4386142093A5048309778 @default.
• W4386142093 hasAuthorship W4386142093A5052105577 @default.
• W4386142093 hasAuthorship W4386142093A5068058694 @default.
• W4386142093 hasAuthorship W4386142093A5071272620 @default.
• W4386142093 hasAuthorship W4386142093A5092690830 @default.
• W4386142093 hasBestOaLocation W43861420931 @default.
• W4386142093 hasConcept C113246987 @default.
• W4386142093 hasConcept C119857082 @default.
• W4386142093 hasConcept C153180895 @default.
• W4386142093 hasConcept C154945302 @default.
• W4386142093 hasConcept C169760540 @default.
• W4386142093 hasConcept C202751555 @default.
• W4386142093 hasConcept C41008148 @default.
• W4386142093 hasConcept C55493867 @default.
• W4386142093 hasConcept C81363708 @default.
• W4386142093 hasConcept C86803240 @default.
• W4386142093 hasConceptScore W4386142093C113246987 @default.

• next