Nested-block self-attention for robust radiotherapy planning segmentation [PDF]
arXiv, 2021 Although deep convolutional networks have been widely studied for head and neck (HN) organs at risk (OAR) segmentation, their use for routine clinical treatment planning is limited by a lack of robustness to imaging artifacts, low soft tissue contrast on CT, and the presence of abnormal anatomy.
arxiv
Computational modeling to determine the physical characteristics of biological tissues for medical diagnosis [PDF]
, 2023 Timely diagnosis of breast cancer is an important task. This type of breast cancer is one of the most common diseases. The method of microwave radiothermometry is a promising direction for solving this problem. The method is based on measuring internal temperature of biological tissues in microwave frequency range.
arxiv +1 more source
Minor salivary gland sialolithiasis: a clinical diagnostic challenge [PDF]
, 2018 Sialolithiasis is a non-neoplastic salivary gland disease that rarely affects the minor salivary glands. There are no guidelines in the literature which can suggest which is the best surgical approach to treat Minor Salivary Glands Sialolithiasis (MSGL).
Bosco, D +3 more
core +1 more source
Review of salivary diagnostics – A current scenario
Journal of Indian Academy of Oral Medicine and Radiology, 2020 Human saliva is produced by the three major salivary glands (the parotid gland, submandibular gland, and sublingual glands) and minor salivary glands. It contains several hormones, antibodies, cytokines, proteins, enzymes, and antimicrobial constituents ...
Sadaksharam Jayachandran
doaj +1 more source
Modulation of c-Jun NH2-Terminal (JNK) by Cholinergic Autoantibodies from Patients with Sjögren’s Syndrome [PDF]
, 2011 Background: We wanted to determine (via an immunopharmacological approach) whether the c-Jun NH2 terminal kinase (JNK) cascade is phosphorylated in the submandibular gland by carbachol and cholinergic autoantibodies (IgG) present in the sera of patients ...
Borda, Enri Santiago +3 more
core +1 more source
Clinical Parkinsonism & Related Disorders, 2022 Background: Drooling is a common symptom in patients with parkinsonism, causing physical and emotional distress. It is unknown which major salivary glands are the best candidates for irradiation to reduce drooling with minimal adverse events.
R.J.H.M. Steenbakkers +4 more
doaj
Online Easy Example Mining for Weakly-supervised Gland Segmentation from Histology Images [PDF]
arXiv, 2022 Developing an AI-assisted gland segmentation method from histology images is critical for automatic cancer diagnosis and prognosis; however, the high cost of pixel-level annotations hinders its applications to broader diseases. Existing weakly-supervised semantic segmentation methods in computer vision achieve degenerative results for gland ...
arxiv
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
Role of M3 Muscarinic Acethylcholine Receptor Antibodies as a New Marker in Primary Sjögren Syndrome [PDF]
, 2017 Aims: This paper investigates the presence of M3 muscarinic acetylcholine receptor autoantibody present in the serum of patients with primary Sjögren syndrome (pSS).
Borda, Enri Santiago +4 more
core +1 more source
AnatomyNet: Deep Learning for Fast and Fully Automated Whole-volume Segmentation of Head and Neck Anatomy [PDF]
, 2018 Methods: Our deep learning model, called AnatomyNet, segments OARs from head and neck CT images in an end-to-end fashion, receiving whole-volume HaN CT images as input and generating masks of all OARs of interest in one shot. AnatomyNet is built upon the popular 3D U-net architecture, but extends it in three important ways: 1) a new encoding scheme to ...
arxiv +1 more source