Remote sensing image dehazing is challenging because it is massively ill-posed and the haze is dependent on the unknown depth information. Haze removal based on dark channel prior is effective, and refining the transmission map with Gaussian filter will produce a god result. But need to improve the naturalness and sharpness and effectiveness of images and to remove fine haze . So Proposes new a...

Propagation loss can occur in photonic crystal waveguides without complete optical confinement. We employ a highly efficient transfer-matrix method which allows for accurate and reliable extraction of the propagation loss even at an extremely low level. The results for a two-dimensional photonic crystal waveguide shows that the loss exponentially decays via the waveguide wall thickness. An anom...

introduction: lung cancer is one of the leading causes of cancer related deaths in the world. the incidence of lung cancer is increasing in india and there is a need to understand the natural history of this disease. aim of the study: to study the clinico- pathological- radiological profile of patients diagnosed with lung cancer from january 2013 to may 2015 at a tertiary care teaching hospital...

conclusions relaxation with guided imagery had a positive effect on mediating anxiety and depression in breast cancer patients. results the experimental group showed significant decreases in insomnia (-0.34 ± 0.83, p < 0.05), pain (-0.28 ± 0.58, p < 0.05), anxiety (-3.56 ± 2.94, p < 0.00), and depression (-2.38 ± 2.70, p < 0.00) between the pretest and the posttest. comparing the two groups, st...

the evaluate the diagnostic value of image guided fine needle aspiration (fna) in breast lesions, the cytologic results of 401 patients were studied. all patients had either unpalpable masses or lesions who were hardly possible to localize by palpation and fna was performed by single radiologist under ultrasound guide in all cases. the cytologic results were divided into four categories (inconc...

The rapid increment of morbidity brain stroke in the last few years have been a driving force towards fast and accurate segmentation lesions from MRI images. With recent development deep-learning, computer-aided methods ischemic useful for clinicians early diagnosis treatment planning. However, most these suffer inaccurate unreliable results because their inability to capture sufficient context...

Semantic segmentation of remote sensing imagery (RSI) has obtained great success with the development deep convolutional neural networks (DCNNs). However, most existing algorithms focus on designing end-to-end DCNNs, but neglecting to consider difficulty in imbalance categories, especially for minority categories RSI, which limits performance RSI semantic segmentation. In this paper, a novel ed...