206 research outputs found
Automatic Prostate Cancer Grading Using Deep Architectures
No full textProstate cancer is the second most aggressive type of cancer among men aged over 45, and it has a major effect on people's lives. Early diagnosis and grading of prostate cancer from tissue images is necessary. Large scale inter observer reproducibility exists in grading the prostate biopsies. This leads us to move towards a computer based model that can accurately detect and grade the cancerous prostate from non-cancerous one. The paper is focused on deep learning based models to automatically grade the prostate cancer from tissue microarray images. Deep learning models directly learn the features via convolutional layers. Two datasets have been used for implementation of our proposed model, Harvard dataset and Gleason Challenge 2019. Our proposed UNET based architecture is used for training as well as validation and testing. We used four different deep learning models, VGG19, ResNet50, Mobilenetv2 and ResNext50 for our UNET based encoder. With our proposed framework, we have achieved 0.728 and 0.732 average Cohen's kappa with F1 on both datasets respectively. The results show that our proposed UNET based deep learning model shows better performance as compared to other state of the art models
Biochemistry, Risk Factors and Major Chronic Complications of Type 2 Diabetes among Patients of Southern Punjab, Pakistan
No full text<p>Nearly, half of the diabetic population in Pakistan not diagnosed properly and approximately half of the affected population in the beginning characterized diabetic patients is seen to comprise the chronic diabetic complications. This study was conducted to estimate the existing status of chronic complications associated with diabetes mellitus .This research was conducted at Department of Diabetes, Jampur located in southern region of Punjab, Pakistan from February 2017 to June 2017. A comprehensive evaluation of medical history and clinical and laboratory tests of blood samples were performed to analyze the dyslipidemia and related complications. A neuropathy disability score normally greater than zero was used to access peripheral neuropathy as standard parameters with range in low, medium and high. An opthalmoscopic performed comprehensive examination of dilated retina. Obesity, low HDL, High LDL and total cholesterol were considerably higher in females. Neuropathy level was higher in patients with short diabetes duration at the same time as other chronic complications were higher in patients with long diabetes duration and with high age group. This research will be useful for administration and control of secondary complications in diabetic patients of Pakistan.</p>
<p>published by the <strong><a href="https://innspub.net/international-journal-of-biosciences/"> International Journal of Biosciences (IJB)</a></strong></p>
ابونصرمحمد الفارابی وافکارہ الفلسفیۃ:دراسۃ تحلیلیۃ: ABU NASR MUHAMMAD AL-FARABI AND HIS PHILOSOPHICL IDEAS: AN ANALYTICAL STUDY
No full textThis analytical study delves into the philosophical ideas of Abu Nasr Muhammad Al-Farabi, a renowned Islamic philosopher and polymath. The article examines Al-Farabi's metaphysics, epistemology, political philosophy, and ethics, highlighting his significant contributions to the development of Islamic philosophy. The study explores his concepts of the First Cause, the nature of reality, knowledge, and the ideal society, as well as his synthesis of Greek and Islamic thought. Through a critical analysis of Al-Farabi's works, this study aims to illuminate the depth and relevance of his philosophical ideas, demonstrating their enduring impact on Islamic thought and intellectual history
Using image steganography for providing enhanced medical data security
No full textRecently, image steganography is being considered as an alternative method for securing medical data to avoid medical related cybercrimes. This paper proposes a new image steganography approach for securing medical data. Swapped Huffman tree coding is used to apply lossless compression and manifold encryption to the payload before embedding into the cover image. Additionally, only edge regions of the cover image are used to embed the secret data which offers high imperceptibility. The results show that the proposed method ensures confidentiality and secrecy of patient information while maintaining imperceptibility
PERFORMANCE EVALUATION OF VIDEO QUALITY ASSESSMENT METHODS BASED ON FRAME FREEZING
No full textA Digital Video Communication System consists of a video encoder, a channel through which the video is transmitted and finally a video decoder. These three phases can cause different kinds of impairments or degradations in the quality of a video. One of the degradations that takes place due to an error prone channel is frame freezing and it affects the quality of a video. Frame freezing is a phenomenon in which a particular frame is repeated (displayed) for a certain period of time until the next correct frame is received hence producing a pause or a freeze in a video sequence. Frame freezing can be single or multiple depending on the channel characteristics. Research is being conducted in order to devise a metric which can help in quantifying a video sequence on the basis of its quality. Researchers design metrics and then using their mathematical models, they compare their results with subjective measurements. Subjective measurements help in telling the preciseness and correctness of the metric that whether the quality assessment metric is close enough to subjective test measurements. In this report, three metrics used for video quality assessment have been studied and compared mathematically as well as by careful experiments. The three metrics, chosen for this study, work on No Reference (NR) method for judging the quality of a video. Subjective tests have been performed keeping in view of the recommendations of ITU (International Telecommunication Union). After the study of these three metrics, their advantages and disadvantages over each other have been discussed and the metric that performs the best under certain conditions has been proposed. Finally, a conclusion has been made for the metric that performs the best and also for the metric that performs the worse or even does not perform at all under certain conditions.Presently I am working in Nigeria with Alcatel-Lucent and I can be reached on the following mobile number +2348055099776(Nigeria), also on my BTH email id
Channel resource allocation and availability prediction in hybrid access femtocells
No full textIn this paper, three channel assignment models are proposed for channel resource allocation in femtocells. The models proposed are based on the Markov chain process. According to the access mechanisms in femtocells, the Third-Generation Partnership Project (3GPP) has described two kinds of users in the femtocell application; open users and the closed subscriber group (CSG). In hybrid access mechanism for femtocells, both CSG users and open users are usually referred as subscribers and non-subscribers respectively. So, in this work, for all the proposed models, the CSG and open users are categorized into two groups; the subscriber group (SG) and the non-subscriber group (NSG) respectively. The proposed models provide priority based channel resource allocation strategies between the SG and NSG. Furthermore, the focus of this research is to provide variable channel resource sharing among the SG and NSG to keep the wastage of channel resources minimum for better quality of service (QoS). The analysis is conducted in terms of channel resource blocking management for all the models and to validate the analysis, simulations are performed at the end of this paper. Further, channel resource blocking prediction, based on the blocking probability results for SG and NSG users, is also provided at the end. The prediction is done through risk analysis using the @ Risk tool. The simulations are provided in two parts; 1) the probability curves for SG and NSG against the total number of channels and 2) the risk analysis results for blocked channels prediction using the @ Risk tool
al-Durr al-Thameen Explanation of The revealed revelation in The message of al-Tabyeen in connection with The word Amen by Sheikh Mustafa bin Muhammad al-Safawi al-Qalawi (Reviewing and Editing)
No full textالحمد لله رب العالمين، والصلاة والسلام على محمد وآله، وبعد:
فإن هذا السِّّفر النفيس حاول فيه مؤلفه الشيخ مُصْطفى بن مُحّمَّد بن يوسفَ الصَّفَوِّيُّ القَلْعَاوِّيُّ
أن يستوعب فيه كل ما يتعلق بلفظة )آمين( من الناحية اللغوية والإعرابية والبلاغية والفقهية، وتطرق إلى
كثير مما يتعلق بها من الآثار، فكان ثمرة يانعة من ثمار القرن الثالث عشر.
ولم يحظَ هذا الكتاب -على أهميته- بالتحقيق والنشر، حيث لم أجد أحدًا قبلي قد حقق هذا
المخطوط، أو نشره، فأردت القيام بهذا الواجب وفقًا لمعايير مناهج البحث الأكاديمي والتحقيق العلمي
مستعينًا بالله تعالى، فهو سبحانه المعين والمتفضل، وعليه المعتمد والمعوَّل.Bu çok değerli eserin yazarı şeyh Mustafa es-Safevî el-KaI'âvî. Âmîn" lafzıyla ilgili fıkıh, belagat, irab açılarından ve onunla ilgli bir çok yönü açıklayan bu eser hicri 13. yüzyılın eserlerindendir.
Bu kitap, sahip olduğu öneme rağmen bugüne kadar çalışılmadı. Dolayısıyla Allah Teala'dan yardım dilerek bu görevi yerine getirmek istedim.This precious book, in which its author, Sheikh Mustafa bin Muhammad Al-Safawi Al-Qal’i, tried to comprehend everything related to the word “Amen” from the linguistic, syntactic, rhetorical and jurisprudential aspects, and touched on many of the effects related to it, so it was a ripe fruit of the thirteenth century. Despite its importance in investigation and publication - since I did not find anyone before me who had printed or published this manuscript, so I wanted to do this duty with the help of God Almighty, for He is the Almighty, the Helper and the Most Gracious
Impulse noise mitigation using precoded SCFDMA for uplink PLC systems
No full textThis article presents a new transceiver structure for uplink power line communication (PLC) system based on single carrier frequency division multiple access (SCFDMA) for the mitigation of inherent PLC noise i.e. impulse noise. Moreover, SCFDMA also promises low PAPR values than the conventional orthogonal frequency division multiple access (OFDMA). Furthermore, this work also suggests the employment of linear precoding via Walsh Hadamard transform (WHT) and Zadoff Chu transform (ZCT) to improve the transceiver performance. Adaptive bit loading is also recommended instead of fixed loading to circumvent the channel impairments. Performance of the proposed transceiver in terms of bit error rate (BER) and peak to average power ratio (PAPR) is evaluated in the form of simulations. Results demonstrate that the proposed transceiver for uplink PLC systems perform better than the conventional transceiver design in the presence of additive white Gaussian noise (AWGN) and impulse noise
Quality assessment for wireless capsule endoscopy videos compressed via HEVC: From diagnostic quality to visual perception
No full textMaintaining the quality of medical images and videos is an essential part of the e-services provided by the healthcare sector. The convergence of modern communication systems and the healthcare industry necessitates the provision of better quality of service and experience by the service provider. Recent inclusion and standardization of the high efficiency video coder (HEVC) has made it possible for medical data to be compressed and transmitted over wireless networks with minimal compromise of the quality. Quality evaluation and assessment of these medical videos transmitted over wireless networks is another important research area that requires further exploration and attention. In this paper, we have conducted an in-depth study of video quality assessment for compressed wireless capsule endoscopy (WCE) videos. Our study includes the performance evaluation of several state-of-the-art objective video quality metrics in terms of determining the quality of compressed WCE videos. Subjective video quality experiments were conducted with the assistance of experts and non-experts in order to predict the diagnostic and visual quality of these medical videos, respectively. The evaluation of the metrics is based on three major performance metrics that include, correlation between the subjective and objective scores, relative statistical performance and computation time. Results show that the metrics information fidelity criterion (IFC), visual information fidelity-(VIF) and especially pixel based VIF stand out as best performing metrics. Furthermore, our paper reports the performance of HEVC compression on medical videos and according to the results, it performs optimally in preserving the diagnostic and visual quality of WCE videos at Quantization Parameter (QP) values of up to 35 and 37 respectively
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