Organ localisation using supervised and semi supervised approaches combining reinforcement learning with imitation learning [PDF]
arXiv, 2021 Computer aided diagnostics often requires analysis of a region of interest (ROI) within a radiology scan, and the ROI may be an organ or a suborgan. Although deep learning algorithms have the ability to outperform other methods, they rely on the availability of a large amount of annotated data.
arxiv
SegViz: A federated-learning based framework for multi-organ segmentation on heterogeneous data sets with partial annotations [PDF]
arXiv, 2023 Segmentation is one of the most primary tasks in deep learning for medical imaging, owing to its multiple downstream clinical applications. However, generating manual annotations for medical images is time-consuming, requires high skill, and is an expensive effort, especially for 3D images.
arxiv
In Vivo Renal Clearance, Biodistribution, Toxicity of Gold nanoclusters [PDF]
Zhang et al,Biomaterials 33 (2012) 4628e4638, 2012 Gold nanoparticles have shown great prospective in cancer diagnosis and therapy, but they can not be metabolized and prefer to accumulate in liver and spleen due to their large size. The gold nanoclusters with small size can penetrate kidney tissue and have promise to decrease in vivo toxicity by renal clearance.
arxiv +1 more source
To achieve an earlier IFN-¿ response is not sufficient to control mycobacterium tuberculosis infection in mice [PDF]
, 2014 The temporo-spatial relationship between the three organs (lung, spleen and lymph node) involved during the initial stages of Mycobacterium tuberculosis infection has been poorly studied.
Barril, Carles +9 more
core +5 more sources
End-to-End Adversarial Shape Learning for Abdomen Organ Deep Segmentation [PDF]
, 2019 Automatic segmentation of abdomen organs using medical imaging has many potential applications in clinical workflows. Recently, the state-of-the-art performance for organ segmentation has been achieved by deep learning models, i.e., convolutional neural network (CNN).
arxiv +1 more source
Frontiers in OncologyPurposeThis study examines the relationship between tumor burden score (TBS) and survival and recurrence following radical resection of hepatocellular carcinoma through a cohort study conducted in the Guangxi population of China.MethodsThis cohort study ...
Junzhang Huang +9 more
doaj +1 more source
Frontiers in Psychiatry, 2020 BackgroundCognitive impairment is a complication of type 2 diabetes mellitus (T2DM) that affects the central nervous system (CNS). Studies have shown that chronic psychological stress may promote the development of T2DM into diabetes-associated cognitive
Tingting Bi +3 more
doaj +1 more source
Improving Lesion Segmentation in FDG-18 Whole-Body PET/CT scans using Multilabel approach: AutoPET II challenge [PDF]
arXiv, 2023 Automatic segmentation of lesions in FDG-18 Whole Body (WB) PET/CT scans using deep learning models is instrumental for determining treatment response, optimizing dosimetry, and advancing theranostic applications in oncology. However, the presence of organs with elevated radiotracer uptake, such as the liver, spleen, brain, and bladder, often leads to ...
arxiv
Impact of dietary manganese on intestinal barrier and inflammatory response in broilers challenged with Salmonella Typhimurium [PDF]
, 2020 Growing concern for public health and food safety has prompted a special interest in developing nutritional strategies for removing waterborne and foodborne pathogens, including Salmonella.
Bai, Jie +11 more
core +2 more sources