Search Results - "Masni"
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Aqueous enzyme assisted oil extraction from oilseeds and emulsion de-emulsifying methods: A review
Published in Trends in food science & technology (01-01-2015)“…Regulatory, safety, and environmental issues have prompted the development of aqueous enzymatic extraction (AEE) for extracting components from oil-bearing…”
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A fully integrated computer-aided diagnosis system for digital X-ray mammograms via deep learning detection, segmentation, and classification
Published in International journal of medical informatics (Shannon, Ireland) (01-09-2018)“…[Display omitted] •A Fully integrated Computer-Aided Diagnosis (CAD) system based on deep learning is presented.•Deep model based YOLO is adopted to accurately…”
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3
Multiple skin lesions diagnostics via integrated deep convolutional networks for segmentation and classification
Published in Computer methods and programs in biomedicine (01-07-2020)“…•An integrated two-stage diagnostic model for skin lesion boundary segmentation and multiple skin diseases classification is proposed.•Segmentation of skin…”
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4
Simultaneous detection and classification of breast masses in digital mammograms via a deep learning YOLO-based CAD system
Published in Computer methods and programs in biomedicine (01-04-2018)“…•A novel computer-aided diagnosis system based on deep learning techniques is proposed.•The proposed YOLO-based CAD system simultaneously handles both…”
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5
CMM-Net: Contextual multi-scale multi-level network for efficient biomedical image segmentation
Published in Scientific reports (13-05-2021)“…Medical image segmentation of tissue abnormalities, key organs, or blood vascular system is of great significance for any computerized diagnostic system…”
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6
JUST‐Net: Jointly unrolled cross‐domain optimization based spatio‐temporal reconstruction network for accelerated 3D myelin water imaging
Published in Magnetic resonance in medicine (01-06-2024)“…Purpose We introduced a novel reconstruction network, jointly unrolled cross‐domain optimization‐based spatio‐temporal reconstruction network (JUST‐Net), aimed…”
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A refactoring categorization model for software quality improvement
Published in PloS one (02-11-2023)“…Refactoring, a widely adopted technique, has proven effective in facilitating and reducing maintenance activities and costs. Nonetheless, the effects of…”
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Aqueous enzymatic extraction of Moringa oleifera oil
Published in Food chemistry (15-11-2016)“…•Ground Moringa oleifera kernels of 1003–150μm size contain similar oil content.•Moringa oleifera cell is composed of oil bodies mainly surrounded with…”
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9
Norm Exemption in States’ NPT Nuclear Disarmament Obligations
Published in Global : jurnal politik internasional (09-07-2021)“…The Nuclear Nonproliferation Treaty (NPT) is highly appreciated for its ability to stop further nuclear proliferation in the world. Since its existence, this…”
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Skin lesion segmentation in dermoscopy images via deep full resolution convolutional networks
Published in Computer methods and programs in biomedicine (01-08-2018)“…•A novel deep learning segmentation methodology of skin lesions is proposed.•The proposed FrCN method learns the full resolution features of each pixel of the…”
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Detection of Cerebral Microbleeds in MR Images Using a Single‐Stage Triplanar Ensemble Detection Network (TPE‐Det)
Published in Journal of magnetic resonance imaging (01-07-2023)“…Background Cerebral microbleeds (CMBs) are microscopic brain hemorrhages with implications for various diseases. Automated detection of CMBs is a challenging…”
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The effect of health education in improving the knowledge and attitudes of integrated service post cadres about early detection of high‑risk pregnancies in the working area of the Mamajang health center, Makassar city, Indonesia
Published in Journal of public health in Africa (01-10-2023)“…Maternal mortality can be reduced by strengthening the process of early detection of high-risk pregnancies. However, the lack of knowledge related to high-risk…”
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Stacked U-Nets with self-assisted priors towards robust correction of rigid motion artifact in brain MRI
Published in NeuroImage (Orlando, Fla.) (01-10-2022)“…Magnetic Resonance Imaging (MRI) is sensitive to motion caused by patient movement due to the relatively long data acquisition time. This could cause severe…”
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Biomechanical investigation on the influence of the regional material degeneration of an intervertebral disc in a lower lumbar spinal unit: A finite element study
Published in Computers in biology and medicine (01-07-2018)“…Intervertebral disc degeneration involves changes in its material properties that affect the mechanical functions of the spinal system. However, the alteration…”
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15
Optimizing Teachers’ Potential as Youtubers to Face Merdeka Belajar
Published in Al-Ishlah: Jurnal Pendidikan (19-06-2024)“…The research aims to find out whether YouTuber teachers are able to face Merdeka Belajar, what variations of learning videos are produced by YouTuber teachers…”
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Financial crises, poverty and environmental sustainability: Challenges in the context of the SDGs and Covid‐19 recovery. By AndreasAntoniades, Alexander S.Antonarakis, and IsabellKempf (Eds.), New York: Springer Nature. 2022. pp. 190. $179 (Cloth)
Published in Governance (Oxford) (01-04-2024)Get full text
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Deep Learning Computer-Aided Diagnosis for Breast Lesion in Digital Mammogram
Published in Advances in experimental medicine and biology (2020)“…For computer-aided diagnosis (CAD), detection, segmentation, and classification from medical imagery are three key components to efficiently assist physicians…”
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Understanding the experiences of Indigenous minorities through the lens of spatial justice: The case of Orang Asli in Peninsular Malaysia
Published in Regional science policy & practice (01-10-2022)“…Like many Indigenous people around the world, the original inhabitants of Peninsular Malaysia, the Orang Asli, live predominantly in marginal, remote areas,…”
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Semantic and traditional feature fusion for software defect prediction using hybrid deep learning model
Published in Scientific reports (01-07-2024)“…Software defect prediction aims to find a reliable method for predicting defects in a particular software project and assisting software engineers in…”
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Automated detection of cerebral microbleeds in MR images: A two-stage deep learning approach
Published in NeuroImage clinical (01-01-2020)“…[Display omitted] •A new two-stage deep learning approach for efficient microbleeds detection is proposed.•1st stage detects potential microbleeds candidates,…”
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