AIMC Topic: Spleen

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Deep learning how to fit an intravoxel incoherent motion model to diffusion-weighted MRI.

Magnetic resonance in medicine
PURPOSE: This prospective clinical study assesses the feasibility of training a deep neural network (DNN) for intravoxel incoherent motion (IVIM) model fitting to diffusion-weighted MRI (DW-MRI) data and evaluates its performance.

Powders with small microparticle size from and exhibited high preventive antioxidant activity against HO-induced oxidative stress in mouse primary spleen cells.

International journal for vitamin and nutrition research. Internationale Zeitschrift fur Vitamin- und Ernahrungsforschung. Journal international de vitaminologie et de nutrition
The purpose of this study was to examine the effects of powder particle size on the cytoprotective and antioxidant activity of (HH) and (SN), two medicinal plants more commonly known as ivy and figwort, against HO-induced oxidative stress in mouse ...

Acceleration of spleen segmentation with end-to-end deep learning method and automated pipeline.

Computers in biology and medicine
Delineation of Computed Tomography (CT) abdominal anatomical structure, specifically spleen segmentation, is useful for not only measuring tissue volume and biomarkers but also for monitoring interventions. Recently, segmentation algorithms using dee...

Splenomegaly Segmentation on Multi-Modal MRI Using Deep Convolutional Networks.

IEEE transactions on medical imaging
The findings of splenomegaly, abnormal enlargement of the spleen, is a non-invasive clinical biomarker for liver and spleen diseases. Automated segmentation methods are essential to efficiently quantify splenomegaly from clinically acquired abdominal...

An application of cascaded 3D fully convolutional networks for medical image segmentation.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society
Recent advances in 3D fully convolutional networks (FCN) have made it feasible to produce dense voxel-wise predictions of volumetric images. In this work, we show that a multi-class 3D FCN trained on manually labeled CT scans of several anatomical st...

Detection of nanodiamonds in biological samples by EPR spectrometry.

Doklady. Biochemistry and biophysics
In model experiments in vitro, the applicability of the EPR spectrometry method for the detection of modified nanodiamonds (MNDs) in blood and homogenates of mouse organs has been established. A characteristic signal (g = 2.003, ΔH ≈ 10 G) is observe...

[In vitro Modulating Activity of aqueous extracts from American Plants on Chlorpyrifos-induced toxicity on Murine Splenocytes].

Revista de la Facultad de Ciencias Medicas (Cordoba, Argentina)
BACKGROUND: Chlorpyrifos is an highly toxic pesticide, which can induce immunotoxicity with deleterious effects on health worldwide. On the other hand, American plants can provide derivatives with protective and immunostimulating activity. Thus, plan...

Improved perioperative outcomes of laparoscopic distal pancreatosplenectomy: modified lasso technique.

ANZ journal of surgery
BACKGROUND: Simultaneous division of the splenic artery, splenic vein and pancreatic parenchyma during laparoscopic distal pancreatosplenectomy (LDPS) is known as the lasso technique, which is considered to be simple to perform. However, the original...

Organ Location Determination and Contour Sparse Representation for Multiorgan Segmentation.

IEEE journal of biomedical and health informatics
Organ segmentation on computed tomography (CT) images is of great importance in medical diagnoses and treatment. This paper proposes organ location determination and contour sparse representation methods (OLD-CSR) for multiorgan segmentation (liver, ...