Evaluation of deep learning detection and classification towards computer-aided diagnosis of breast lesions in digital X-ray mammograms.

Background And Objective: Deep learning detection and classification from medical imagery are key components for computer-aided diagnosis (CAD) systems to efficiently support physicians leading to an accurate diagnosis of breast lesions.

Methods: In this study, an integrated CAD system of deep learning detection and classification is proposed aiming to improve the diagnostic performance of breast lesions. First, a deep learning YOLO detector is adopted and evaluated for breast lesion detection from entire mammograms.

Computer-aided osteoporosis detection from DXA imaging.

Background And Objective: Osteoporosis is a skeletal disease caused by a high rate of bone tissue loss, and it is a major cause of bone fracture. In contemporary society, osteoporosis is more common than cancer and stroke and results in a higher rate of morbidity and mortality in the human population. Osteoporosis can conclusively be diagnosed with dual energy X-ray absorptiometry (DXA).

Automatic hip geometric feature extraction in DXA imaging using regional random forest.

Background: Hip fracture is considered one of the salient disability factors across the global population. People with hip fractures are prone to become permanently disabled or die from complications. Although currently the premier determiner, bone mineral density has some notable limitations in terms of hip fracture risk assessment.

Femur segmentation in DXA imaging using a machine learning decision tree.

Background: Accurate measurement of bone mineral density (BMD) in dual-energy X-ray absorptiometry (DXA) is essential for proper diagnosis of osteoporosis. Calculation of BMD requires precise bone segmentation and subtraction of soft tissue absorption. Femur segmentation remains a challenge as many existing methods fail to correctly distinguish femur from soft tissue.

A fully integrated computer-aided diagnosis system for digital X-ray mammograms via deep learning detection, segmentation, and classification.

A computer-aided diagnosis (CAD) system requires detection, segmentation, and classification in one framework to assist radiologists efficiently in an accurate diagnosis. In this paper, a completely integrated CAD system is proposed to screen digital X-ray mammograms involving detection, segmentation, and classification of breast masses via deep learning methodologies. In this work, to detect breast mass from entire mammograms, You-Only-Look-Once (YOLO), a regional deep learning approach, is used.

Skin lesion segmentation in dermoscopy images via deep full resolution convolutional networks.

Background And Objective: Automatic segmentation of skin lesions in dermoscopy images is still a challenging task due to the large shape variations and indistinct boundaries of the lesions. Accurate segmentation of skin lesions is a key prerequisite step for any computer-aided diagnostic system to recognize skin melanoma.

Methods: In this paper, we propose a novel segmentation methodology via full resolution convolutional networks (FrCN).

Denoising images of dual energy X-ray absorptiometry using non-local means filters.

Background: In general, the image quality of high and low energy images of dual energy X-ray absorptiometry (DXA) suffers from noise due to the use of a small amount of X-rays. Denoising of DXA images could be a key process to improve a bone mineral density map, which is derived from a pair of high and low energy images. This could further improve the accuracy of diagnosis of bone fractures and osteoporosis.

Simultaneous detection and classification of breast masses in digital mammograms via a deep learning YOLO-based CAD system.

Background And Objective: Automatic detection and classification of the masses in mammograms are still a big challenge and play a crucial role to assist radiologists for accurate diagnosis. In this paper, we propose a novel Computer-Aided Diagnosis (CAD) system based on one of the regional deep learning techniques, a ROI-based Convolutional Neural Network (CNN) which is called You Only Look Once (YOLO). Although most previous studies only deal with classification of masses, our proposed YOLO-based CAD system can handle detection and classification simultaneously in one framework.

Loganin enhances long-term potentiation and recovers scopolamine-induced learning and memory impairments.

Although the incidence rate of dementia is rapidly growing in the aged population, therapeutic and preventive reagents are still suboptimal. Various model systems are used for the development of such reagents in which scopolamine is one of the favorable pharmacological tools widely applied. Loganin is a major iridoid glycoside obtained from Corni fructus (Cornusofficinalis et Zucc) and demonstrated to have anti-inflammatory, anti-tumor and osteoporosis prevention effects.

The effect of tissue anisotropy on the radial and tangential components of the electric field in transcranial direct current stimulation.

Transcranial direct current stimulation (tDCS) is considered to be a promising technique for noninvasive brain stimulation and brain disease therapy. Recent studies have investigated the distribution of the electric field (EF) magnitude over gyri and sulci and the effect of tissue homogeneity with isotropic electrical conductivities. However, it is well known that the skull and white matter (WM) are highly anisotropic electrically, requiring investigations of their anisotropic effects on the magnitude and the directional components of the induced EF due to the high dependency between neuromodulation and the EF direction.

An efficient word typing P300-BCI system using a modified T9 interface and random forest classifier.

Background: A typical P300-based spelling brain computer interface (BCI) system types a single character with a character presentation paradigm and a P300 classification system. Lately, a few attempts have been made to type a whole word with the help of a smart dictionary that suggests some candidate words with the input of a few initial characters.

Methods: In this paper, we propose a novel paradigm utilizing initial character typing with word suggestions and a novel P300 classifier to increase word typing speed and accuracy.

Robust extraction of P300 using constrained ICA for BCI applications.

P300 is a positive event-related potential used by P300-brain computer interfaces (BCIs) as a means of communication with external devices. One of the main requirements of any P300-based BCI is accuracy and time efficiency for P300 extraction and detection. Among many attempted techniques, independent component analysis (ICA) is currently the most popular P300 extraction technique.

The effects of acupuncture (PC6) on chronic mild stress-induced memory loss.

A previous study reported that the PC6 acupuncture point can alleviate chronic mild stress (CMS)-induced anxiety [17]. Following the previous study, this study examined the effects of the PC6 acupuncture point on CMS-induced memory loss. The memory storage and acetylcholinesterase (AchE) activity in the hippocampus were measured, respectively, using a passive avoidance test (PAT) and AchE immunohistochemistry.

The Effects of Puerariae Flos on Stress-induced Deficits of Learning and Memory in Ovariectomized Female Rats.

Puerariae flos (PF) is a traditional oriental medicinal plant and has clinically been prescribed for a long time. The purpose of the present study was to examine the effect of PF on repeated stress-induced alterations of learning and memory on a Morris water maze (MWM) test in ovariectomized (OVX) female rats. The changes in the reactivity of the cholinergic system were assessed by measuring the immunoreactive neurons of choline acetyltransferase (ChAT) in the hippocampus after behavioral testing.

The effects of acupuncture stimulation at PC6 (Neiguan) on chronic mild stress-induced biochemical and behavioral responses.

In the present study, the effects of acupuncture on the behavioral and physiological responses induced by chronic mild stress (CMS) were evaluated. Sprague-Dawley rats were exposed to a variety of chronic unpredictable, mild stressors for 8 weeks. The effects of acupuncture on stress-induced anxiety and anhedonia were investigated using the elevated plus maze (EPM) and sucrose intake test.

The neuroprotective effect of methanol extract of gagamjungjihwan and fructus euodiae on ischemia-induced neuronal and cognitive impairment in the rat.

Gagamjungjihwan (GJ), a decoction consisting of five herbs including ginseng, Acori Graminei Rhizoma, Uncariae Ramulus et Uncus, Polygalae Radic and Frustus Euodiae (FE), has been widely used as herbal treatment for ischemia. In order to investigate the neuroprotective action of this novel prescription, we examined the influence of GJ and FE on learning and memory using the Morris water maze and studied their affects on the central cholinergic system in the hippocampus with neuronal and cognitive impairment. After middle cerebral artery occlusion was applied for 2 h, rats were administered GJ (200 mg kg(-1), p.

Nicotine- and methamphetamine-induced dopamine release evaluated with in-vivo binding of radiolabelled raclopride to dopamine D2 receptors: comparison with in-vivo microdialysis data.

The effect of substances which alter extracellular dopamine (DA) concentration has been studied by measuring changes in the binding of radiolabelled raclopride, a DA D2 receptor ligand that is sensitive to endogenous DA. To better characterize the relationship between extracellular DA concentration and DA D2 receptor binding of raclopride, we compared the changes of extracellular DA concentration (measured using in-vivo microdialysis) and in-vivo [3H]raclopride binding induced by different doses of methamphetamine (Meth) and nicotine, drugs that enhance DA release with and without blocking DA transporters (DATs), respectively, in rat striatum. Nicotine elicited a modest increase of striatal extrasynaptic extracellular DA, while Meth produced a marked increase of striatal extrasynaptic DA in a dose-dependent manner.

Acupuncture attenuates cocaine-induced expression of behavioral sensitization in rats: possible involvement of the dopaminergic system in the ventral tegmental area.

Acupuncture is widely used for the treatment of many functional disorders, such as substance abuse, and has the suppressive effect on the central nervous system. Many studies have suggested that behavioral sensitization by repeated injections of cocaine produce an increase in locomotor activity and an increase in the expression of tyrosine hydroxylase (TH), in the central dopaminergic system. In order to investigate the effects of acupuncture on the repeated cocaine-induced neuronal and behavioral sensitization alternations, we examined the influence of acupuncture on the repeated cocaine-induced locomotor activity and the expression of TH in the brain using immunohistochemistry.

Comparison of the antiobesity effects of the protopanaxadiol- and protopanaxatriol-type saponins of red ginseng.

A previous study demonstrated that ginseng crude saponins prevent obesity induced by a high-fat diet in rats. Ginseng crude saponins are known to contain a variety of bioactive saponins. The present study investigated and compared the antiobesity activity of protopanaxadiol (PD) and protopanaxatriol (PT) type saponins, major active compounds isolated from crude saponins.

Inhibitory effects of ginseng total saponins on behavioral sensitization and dopamine release induced by cocaine.

Many studies have suggested that the behavioral and reinforcing effects of cocaine can be mediated by the central dopaminergic systems. It has been shown that repeated injections of cocaine produce an increase in locomotor activity, the expression of the immediate-early gene, c-fos, and the release of dopamine (DA) in the nucleus accumbens (NAc), which is one of the main dopaminergic terminal areas. Several studies have shown that behavioral activation and changes in extracellular dopamine levels in the central nervous system induced by psychomotor stimulants are prevented by ginseng total saponins (GTS).

Neuroprotective effect of palmul-chongmyeong-tang on ischemia-induced learning and memory deficits in the rat.

Ginseng Radix, Atractylodis Macrocephalae Rhizoma, Poria, Glycyrrhizae Radix, Angelicae Gigantis Radix, Ligusticum Rhizoma, Rehmanniae Radix, Paeoniae Radix, Acori Graminei Rhizoma, and Polygalae Radix have been widely used as herbal medicine against ischemia. In order to test the neuroprotective effect of a novel prescription, the present study examined the effects of Palmul-Chongmyeong-Tang (PMCMT) consisting of these ten herbs on learning and memory in the Morris water maze task and the central cholinergic system of rats with cerebral ischemia-induced neuronal and cognitive impairments. After middle cerebral artery occlusion (MCAO) for 2 h, rats were administered with saline or PMCMT (200 mg/kg, p.

Effect of acupuncture on 6-hydroxydopamine-induced nigrostratal dopaminergic neuronal cell death in rats.

In this study, we investigated the effect of acupuncture at the Zusanli acupoint (ST36) on the nigrostriatal dopaminergic neuronal cell death in the rats with Parkinson's disease. Two weeks after unilateral injection of 6-hydroxydopamine (6-OHDA) into the striatum, an apomorphine-induced rotational behavior test showed significant rotational asymmetry in the rats with Parkinson's disease. Immunostaining for tyrosine hydroxylase demonstrated a dopaminergic neuronal loss in the substantia nigra and dopaminergic fiber loss in the striatum.

Inhibition of cytochrome P450 activities by oleanolic acid and ursolic acid in human liver microsomes.

Oleanolic acid (OA) and ursolic acid (UA), triterpene acids having numerous pharmacological activities including anti-inflammatory, anti-cancer, and hepato-protective effects, were tested for their ability to modulate the activities of several cytochrome P450 (CYP) enzymes using human liver microsomes. OA competitively inhibited CYP1A2-catalyzed phenacetin O-deethylation and CYP3A4-catalyzed midazolam 1-hydroxylation, the major human drug metabolizing CYPs, with IC50 (Ki) values of 143.5 (74.

Harpagophytum procumbens suppresses lipopolysaccharide-stimulated expressions of cyclooxygenase-2 and inducible nitric oxide synthase in fibroblast cell line L929.

Harpagophytum procumbens (Pedaliaceae) has been used for the treatment of pain and arthritis. The effect of Harpagophytum procumbens against lipopolysaccharide-induced inflammation was investigated using 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide assay, reverse transcription-polymerase chain reaction, prostaglandin E(2) (PGE(2)) immunoassay, and nitric oxide detection on mouse fibroblast cell line L929. The aqueous extract of Harpagophytum procumbens was shown to suppress PGE(2) synthesis and nitric oxide production by inhibiting lipopolysaccharide-stimulated enhancement of the cyclooxygenase-2 and inducible nitric oxide synthase (iNOS) mRNAs expressions in L929 cells.

Modulation of Chelidonii herba on glycine-activated and glutamate-activated ion currents in rat periaqueductal gray neurons.

Background: Chelidonii herba is classified as Papaver somniferum L. Aqueous extract from C. herba is traditionally used for disorders with symptoms like pain, bloating, abdominal cramp after meals.