Results 1 to 10 of about 2,818,350 (168)

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

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  

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  

Expert System Based On Neural-Fuzzy Rules for Thyroid Diseases Diagnosis [PDF]

, 2014
The thyroid, an endocrine gland that secretes hormones in the blood, circulates its products to all tissues of the body, where they control vital functions in every cell. Normal levels of thyroid hormone help the brain, heart, intestines, muscles and reproductive system function normally.
arxiv   +1 more source

Improving The Diagnosis of Thyroid Cancer by Machine Learning and Clinical Data [PDF]

arXiv, 2022
Thyroid cancer is a common endocrine carcinoma that occurs in the thyroid gland. Much effort has been invested in improving its diagnosis, and thyroidectomy remains the primary treatment method. A successful operation without unnecessary side injuries relies on an accurate preoperative diagnosis. Current human assessment of thyroid nodule malignancy is
arxiv  

Local and global analysis of endocrine regulation as a non-cyclic feedback system [PDF]

, 2016
To understand the sophisticated control mechanisms of the human's endocrine system is a challenging task that is a crucial step towards precise medical treatment of many disfunctions and diseases. Although mathematical models describing the endocrine system as a whole are still elusive, recently some substantial progress has been made in analyzing ...
arxiv   +1 more source

Gland Segmentation Via Dual Encoders and Boundary-Enhanced Attention [PDF]

ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Seoul, Korea, Republic of, 2024, pp. 2345-2349,
Accurate and automated gland segmentation on pathological images can assist pathologists in diagnosing the malignancy of colorectal adenocarcinoma. However, due to various gland shapes, severe deformation of malignant glands, and overlapping adhesions between glands. Gland segmentation has always been very challenging.
arxiv   +1 more source

Investigating heterogeneous PSMA ligand uptake inside parotid glands [PDF]

Physica Medica: European Journal of Medical Physics, 2024
The purpose was to investigate the spatial heterogeneity of prostate-specific membrane antigen (PSMA) positron emission tomography (PET) uptake within parotid glands. We aim to quantify patterns in well-defined regions to facilitate further investigations.
arxiv   +1 more source

Gland Segmentation in Histopathological Images by Deep Neural Network [PDF]

arXiv, 2019
Histology method is vital in the diagnosis and prognosis of cancers and many other diseases. For the analysis of histopathological images, we need to detect and segment all gland structures. These images are very challenging, and the task of segmentation is even challenging for specialists.
arxiv  

Gland Segmentation in Histopathology Images Using Deep Networks and Handcrafted Features [PDF]

arXiv, 2019
Histopathology images contain essential information for medical diagnosis and prognosis of cancerous disease. Segmentation of glands in histopathology images is a primary step for analysis and diagnosis of an unhealthy patient. Due to the widespread application and the great success of deep neural networks in intelligent medical diagnosis and ...
arxiv