The semantic segmentation of a brain tumor is paramount importance for its treatment and prevention. Recently, researches have proposed various neural network-based architectures to improve the performance sub-regions. Brain segmentation, being challenging area research, requires improvement in performance. This paper proposes 2D image method, BU-Net, contribute research. Residual extended skip (RES) wide context (WC) are used along with customized loss function baseline U-Net architecture....

Efficient segmentation of Magnetic Resonance (MR) brain tumor images is the utmost value for diagnosis region. In recent years, advancement in field neural networks has been used to refine performance sub-regions. The proven be a complicated task even networks, due small-scale regions. These regions are unable identified, reason being their tiny size and huge difference between area occupancy by different classes. previous state-of-the-art network models, biggest problem was that location...

5-methylcytosine (m5C) is indeed a critical post-transcriptional alteration that widely present in various kinds of RNAs and crucial to the fundamental biological processes. By correctly identifying m5C-methylation sites on RNA, clinicians can more clearly comprehend precise function these m5C-sites different Due their effectiveness affordability, computational methods have received greater attention over last few years for identification methylation species. To precisely identify RNA m5C...

High resolution (HR) images consist of higher quality and more detail information in comparison to low-resolution images. But obtaining HR entails costs requires a larger workforce. The solution is using super-resolution (SR) Single image SR the process creating from single image. Obtaining well-known problem domains computer vision processing. Advancement technology has given rise many algorithms. perceptual assessment super-resolved can be used benchmark techniques employed for SR. In this...

Abstract Motivation DNA N6-methyladenine (6mA) has been demonstrated to have an essential function in epigenetic modification eukaryotic species recent research. 6mA linked various biological processes. It’s critical create a new algorithm that can rapidly and reliably detect sites genomes investigate their roles. The identification of marks the genome is first most important step understanding underlying molecular processes, as well regulatory functions. Results In this article, we proposed...

N6-methyladenosine (m6A) is a common post-transcriptional alteration that plays critical function in variety of biological processes. Although experimental approaches for identifying m6A sites have been developed and deployed, they are currently expensive transcriptome-wide identification. Some computational strategies presented as an effective complement to the procedure. However, their performance still requires improvement. In this study, we proposed novel tool called DL-m6A...

Classification of skin lesions plays a crucial role in diagnosing various, local and gene related, medical conditions the field dermoscopy. Estimation these biomarkers are used to provide some insight, while detecting cancerous cells classifying lesion as either benign or malignant. This paper presents groundwork for detection with inclination by segmentation subsequent application Convolution Neural Network on dermoscopy images. Images included ISIC-2016 were dataset. segmented based...

DNA N4-methylcytosine (4mC) being a significant genetic modification holds dominant role in controlling different biological functions, i.e., replication, repair, gene regulations and expression levels. The identification of 4mC sites is important to get insight information regarding organics mechanisms. However, getting prediction from experimental methods challenging task due high expenses time-consuming techniques. Therefore, computational tools can be great option for identification....

An important role is played by N6-methyladenosine (m6A) in RNA methylation modification. The modification information crucially required for development the field of medicine. Biochemical experiments m6A identification have demonstrated high-quality results. However, this process not a feasible solution due to its cost and time constraints. Recently, artificial intelligence has produce effective models which can be utilized speedy efficient sites. In consensus, computational model named as...

DNA N6-methyladenine (6mA) is part of numerous biological processes including repair, replication, and transcription. The 6mA modification sites hold a great impact when their function under consideration. Research in biochemical experiments for this purpose carried out they have demonstrated good results. However, proved not to be practical solution accessed cost time parameters. This led researchers develop computational models fulfill the requirement identification. In consensus, we...

Abstract Motivation The origins of replication sites (ORIs) are precise regions inside the DNA sequence where process begins. These locations critical for preserving genome’s integrity during cell division and guaranteeing faithful transfer genetic data from generation to generation. advent experimental techniques has aided in discovery ORIs many species. Experimentation, on other hand, is often more time-consuming pricey than computational approaches, it necessitates specific equipment...

A robust and efficient segmentation framework is essential for accurately detecting classifying various defects in electroluminescence images of solar PV modules. With the increasing global focus on renewable energy resources, systems are gaining significant attention. The inspection modules throughout their manufacturing phase lifespan requires an automatic reliable to identify multiple micro-defects that imperceptible human eye. This manuscript presents encoder–decoder-based network...