[HTML][HTML] Targeted alveolar regeneration with Frizzled-specific agonists

AN Nabhan, JD Webster, JJ Adams, L Blazer… - Cell, 2023 - cell.com
Summary Wnt ligands oligomerize Frizzled (Fzd) and Lrp5/6 receptors to control the
specification and activity of stem cells in many species. How Wnt signaling is selectively …

The value of micro-CT in the diagnosis of lung carcinoma: a radio-histopathological perspective

S Dizbay Sak, S Sevim, A Buyuksungur, A Kayı Cangır… - Diagnostics, 2023 - mdpi.com
Micro-computed tomography (micro-CT) is a relatively new imaging modality and the three-
dimensional (3D) images obtained via micro-CT allow researchers to collect both …

Deep recurrent learning based qualified sequence segment analytical model (QS2AM) for infectious disease detection using CT images

S Suganyadevi, V Seethalakshmi - Evolving Systems, 2024 - Springer
Pandemic diseases such as COVID-19 have been identified using Computerized
Tomography (CT) kind of diagnosis. For ease of diagnosis and identification, computer …

IL-4-induced SOX9 confers lineage plasticity to aged adult lung stem cells

XT Cai, M Jia, T Heigl, ER Shamir, AK Wong, BM Hall… - Cell Reports, 2024 - cell.com
Wound healing in response to acute injury is mediated by the coordinated and transient
activation of parenchymal, stromal, and immune cells that resolves to homeostasis …

Addressing Biological Questions with Preclinical Cancer Imaging

CB Damoci, JR Merrill, Y Sun… - Cold Spring …, 2024 - perspectivesinmedicine.cshlp.org
The broad application of noninvasive imaging has transformed preclinical cancer research,
providing a powerful means to measure dynamic processes in living animals. While imaging …

[HTML][HTML] Applying deep learning to segmentation of murine lung tumors in pre-clinical micro-computed tomography

MK Montgomery, C Duan, L Manzuk, S Chang… - Translational …, 2024 - Elsevier
Lung cancer remains a leading cause of cancer-related death, but scientists have made
great strides in developing new treatments recently, partly owing to the use of genetically …

Lung tumor segmentation in MRI mice scans using 3D nnU-Net with minimum annotations

P Kaniewski, F Yousefi, YB Hagos… - arXiv preprint arXiv …, 2024 - arxiv.org
In drug discovery, accurate lung tumor segmentation is an important step for assessing
tumor size and its progression using\textit {in-vivo} imaging such as MRI. While deep …

[HTML][HTML] Semi-automated micro-computed tomography lung segmentation and analysis in mouse models

JD Luisi, JL Lin, LF Ochoa, RJ McAuley, MG Tanner… - MethodsX, 2023 - Elsevier
Computed Tomography (CT) is a standard clinical tool utilized to diagnose known lung
pathologies based on established grading methods. However, for preclinical trials and …

Ex-vivo-Mikro-CT in der Augenheilkunde: Probenbehandlung und-kontrastierung für die 3D-Darstellung

J Keiler, T Stahnke, RF Guthoff… - Klinische …, 2023 - thieme-connect.com
X-ray-based micro-computed tomography (micro-CT) is a largely non-destructive imaging
method for the visualisation and analysis of internal structures in the ex vivo eye and affords …

Improved SegNet with Hybrid Classifier for Lung Cancer Segmentation and Classification.

RD Ishwerlal, R Agarwal… - International Journal of …, 2024 - search.ebscohost.com
Prompt diagnosis is crucial globally to save lives, underscoring the urgent need in light of
lung cancer's status as a leading cause of death. While CT scans serve as a primary …