Efficient segmentation and classification of the tumor using improved encoder-decoder architecture in brain MRI images

Primary diagnosis of brain tumors is crucial to improve treatment outcomes for patient survival. T1-weighted contrast-enhanced images of Magnetic Resonance Imaging (MRI) provide the most anatomically relevant images. But even with many advancements, day by day in the medical field, assessing tumor shape, size, segmentation, and classification is very difficult as manual segmentation of MRI images with high precision and accuracy is indeed a time-consuming and very challenging task. So newer digital methods like deep learning algorithms are used for tumor diagnosis which may lead to far better results. Deep learning algorithms have significantly upgraded the research in the artificial intelligence field and help in better understanding medical images and their further analysis. The work carried out in this paper presents a fully automatic brain tumor segmentation and classification model with encoder-decoder architecture that is an improvisation of traditional UNet architecture achieved by embedding three variants of ResNet like ResNet 50, ResNet 101, and ResNext 50 with proper hyperparameter tuning. Various data augmentation techniques were used to improve the model performance. The overall performance of the model was tested on a publicly available MRI image dataset containing three common types of tumors. The proposed model performed better in comparison to several other deep learning architectures regarding quality parameters including Dice Similarity Coefficient (DSC) and Mean Intersection over Union (Mean IoU) thereby enhancing the tumor analysis

Mapping Activity Area Localization in Functional MRI Imaging with Deep Learning based Automatic Segmented Brain Tumor for Presurgical Tumor Resection Planning

Functional Magnetic Resonance Imaging (fMRI) determines small blood flow variations that arise due to brain activity. fMRI major study is about functional anatomy which determines the area of the brain controlling vital functions such as hand and foot motor movements for both left and right, speech mantra, and speech word activities. For this instinctive localization of activity areas for specific tasks is very important. This paper appropriately describes the fMRI paradigm timeline with a modified fMRI paradigm timeline due to the hemodynamic response function (HRF).   Efficient activity area localization of thirty-three patients for fMRI data acquired from the hospital is achieved with dynamic thresholding. Dynamic thresholding is also effective in removing excess highlighted areas which helps in the reduction in expert efforts and time required to generate the patient report.  The localize activity area is further mapped with deep learning-based automatic segmented brain tumor regions to find overlapping regions. The exact location of the overlapping region is recovered which helps with preoperative counseling and tumor resection planning. All the results are verified and validated by two expert radiologists from the Hospital

Functional outcome of distal radius fractures treated with fixation by percutaneous cannulated screw

Background: In the present study primary objectives were to evaluate the clinical and functional outcome and union rates, whereas secondary objective was to study complications associated with closed reduction percutaneous fixation of displaced unstable fractures of distal radius in adults by using cannulated cancellous (CC) screw.Methods: Thirty two patients aged more than 18 years, with unstable displaced distal radial fracture were included in this prospective observational study. Patients were treated by closed reduction and percutaneous fixation by CC screw. Radiological parameters like radial inclination, radial height, ulnar variance, volar tilt were measured. Mayo wrist score and range of motion were noted. Patients were followed up for six months. Continuous variables were compared by using paired and unpaired ‘t’ test.Results: Mean Mayo wrist score at six months post-operative follow-up (82.8) was significantly higher compared to six weeks post-operative follow-up (64.4). Mean early post-operative radial height, mean radial inclination, and mean volar tilt were significantly higher compared to mean six months post-operatively. Mean early post-operative ulnar variance was significantly lower compared to mean six months post-operatively. Mean flexion, mean extension, mean supination, mean pronation, mean radial deviation, and mean ulnar deviation was significantly higher six months post-operative follow-up compared to six week post-operative follow-up. Mean grip strength was significantly higher six months post-operative follow-up compared to six week post-operative follow-up.Conclusions: Clinical and functional outcomes associated with closed reduction and percutaneous fixation by cannulated cancellous screw was excellent. Mayo wrist score was increased over six months follow up period

Wireless Charging: Its types, Standards and Applications

An electrical gadget can be powered without cords by providing electrical via an air pocket to the device in order to re-charge its capacity. The performance and practicality of cordless charging tech have noticeably enhanced lately. The introduction to cordless charging in this paper covers its basics. The evaluation of standards, which includes Qi and the A4WP, is then given, as well as a focus on their communications channels. Next, we put out a cutting-edge idea for cordless charger networking, which enables chargers to be linked for easier data gathering and management. We explain how the wireless charger network can be used to assign users to chargers, which demonstrates the usefulness in terms of a reduction costs for users to find the best chargers to recharge their mobile devices

Noninvasive screening of osteoporosis using bio-impedance and quantitative ultrasound

Bone mineral loss is a serious health issue all over the globe resulting in osteoporosis, without showing any pre-indication of its occurrence. Dual Energy X-ray Absorptiometry test is a widely accepted method for its diagnosis which gives areal information about the bone mineral. Other methods like Quantitative Computed Tomography (QCT) and Peripheral QCT give volumetric information. Application of these methods for mass screening is not recommended due to the use of ionizing radiations. Few non-ionizing methods, namely Bioelectric Impedance Analysis and Quantitative Ultrasound, have evolved in the past few decades. Bioelectric Impedance Analysis, a non-invasive and low-cost tool, has been immensely recognized for its promising use in estimating body composition and body fluids. Similarly, Quantitative Ultrasound is another non-invasive technique for determining bone density at fixed locations, making noninvasive assessment much faster, easier to use, and portable. A multi-parametric approach combining these two modalities has yielded higher efficiency for the detection of bone mineral loss. These developments are briefly reviewed in this paper

Magnetic resonance imaging breast: An essential imaging modality in metastatic axillary lymphadenopathy with unknown primary

Occult primary breast carcinoma with axillary lymph node metastasis is a rare disorder accounting for 0.1%–0.8% of all the cases of breast cancer in females. Magnetic resonance imaging (MRI) of the breast detects primary tumor in nearly 70% of patients. We are presenting three cases of postmenopausal females, who presented with metastatic axillary lymphadenopathy and primary could be diagnosed only on MRI breast