PSMA PET/CT as a predictive tool for sub-regional importance estimates in the parotid gland [PDF]
, 2023 Xerostomia and radiation-induced salivary gland dysfunction remain a common side effect for head-and-neck radiotherapy patients, and attempts have been made to quantify the heterogeneous dose response within parotid glands. Here several models of parotid gland subregional importance are compared with prostate specific membrane antigen (PSMA) positron ...
arxiv +1 more source
Stability analysis of a hypothalamic-pituitary-adrenal axis model with inclusion of glucocorticoid receptor and memory [PDF]
AIP Conference Proceedings 1798, 020111, 2017, 2016 This paper analyzes a four-dimensional model of the hypothalamic-pituitary-adrenal (HPA) axis that includes the influence of the glucocorticoid receptor in the pituitary. Due to the spatial separation between the hypothalamus, pituitary and adrenal glands, distributed time delays are introduced in the mathematical model.
arxiv +1 more source
Microelectrode arrays of diamond-insulated graphitic channels for real time detection of exocytotic events from cultured chromaffin cells and slices of adrenal glands [PDF]
Analytical Chemistry 88, 7493-7499 (2016), 2016 A microstructured graphitic 4x4 multielectrode array was embedded in a single crystal diamond substrate (4x4 {uG-SCD MEA) for real-time monitoring of exocytotic events from cultured chromaffin cells and adrenal slices. The current approach relies on the development of a parallel ion beam lithographic technique, which assures the time effective ...
arxiv +1 more source
Neural Annotation Refinement: Development of a New 3D Dataset for Adrenal Gland Analysis [PDF]
arXiv, 2022 The human annotations are imperfect, especially when produced by junior practitioners. Multi-expert consensus is usually regarded as golden standard, while this annotation protocol is too expensive to implement in many real-world projects. In this study, we propose a method to refine human annotation, named Neural Annotation Refinement (NeAR).
arxiv
Tunable and Sensitive Detection of Cortisol using Anisotropic Phosphorene with a Surface Plasmon Resonance Technique: Numerical Investigation [PDF]
arXiv, 2021 Tunable and ultrasensitive surface plasmon resonance (SPR) sensors are highly desirable for monitoring stress hormones such as cortisol, a steroid hormone formed in the adrenal glands in the human body. This paper describes the detection of cortisol using a bimetallic SPR sensor based on highly anisotropic two-dimensional material, i.e., phosphorene ...
arxiv
TA-Net: Topology-Aware Network for Gland Segmentation [PDF]
arXiv, 2021 Gland segmentation is a critical step to quantitatively assess the morphology of glands in histopathology image analysis. However, it is challenging to separate densely clustered glands accurately. Existing deep learning-based approaches attempted to use contour-based techniques to alleviate this issue but only achieved limited success. To address this
arxiv
Deep Multi-Scale Resemblance Network for the Sub-class Differentiation of Adrenal Masses on Computed Tomography Images [PDF]
arXiv, 2020 The accurate classification of mass lesions in the adrenal glands (adrenal masses), detected with computed tomography (CT), is important for diagnosis and patient management. Adrenal masses can be benign or malignant and benign masses have varying prevalence.
arxiv
Morphology-inspired Unsupervised Gland Segmentation via Selective Semantic Grouping [PDF]
arXiv, 2023 Designing deep learning algorithms for gland segmentation is crucial for automatic cancer diagnosis and prognosis, yet the expensive annotation cost hinders the development and application of this technology. In this paper, we make a first attempt to explore a deep learning method for unsupervised gland segmentation, where no manual annotations are ...
arxiv
Gland Instance Segmentation Using Deep Multichannel Neural Networks [PDF]
IEEE Transactions on Biomedical Engineering, Volume: 64, Issue:
12, Dec. 2017, Pages: 2901 - 2912, 2016 Objective: A new image instance segmentation method is proposed to segment individual glands (instances) in colon histology images. This process is challenging since the glands not only need to be segmented from a complex background, they must also be individually identified.
arxiv +1 more source
A Pathologist-Informed Workflow for Classification of Prostate Glands in Histopathology [PDF]
First International Workshop, MOVI 2022, Held in Conjunction with
MICCAI 2022, Singapore, September 18, 2022, Proceedings,
https://link.springer.com/book/10.1007/978-3-031-16961-8, 2022 Pathologists diagnose and grade prostate cancer by examining tissue from needle biopsies on glass slides. The cancer's severity and risk of metastasis are determined by the Gleason grade, a score based on the organization and morphology of prostate cancer glands.
arxiv