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Inconel625/316L functionally graded material using spectral diagnostics during laser additive manufacturing process
摘要： In this paper, the composition of Inconel625/316L functionally graded material during the additive manufacturing process was monitored on-line by laser-induced plasma optical emission spectroscopy. Several spectral lines are used to establish the quantitative relationship between relative intensity, relative intensity ratio, plasma temperature, and functional gradient material composition variation. It is shown that the change between relative strength and compositional content is similar to actual expectations. But, the relationship between the relative intensity with Inconel625 content is nonlinear. Cr-I/Ni-I relative intensity ratios almost linearly decrease with increasing Inconel625 content. The linear correlation coe?cient of the best ?tted curve was 0.943, and the maximum percentage error was 7.5%. The plasma temperature was obtained by the Boltzmann plot using ?ve neutral chrome lines between 330 and 380 nm. Plasma temperature almost linearly increases with increasing Inconel625 content in a range. The linear correlation coe?cient of the plasma temperature ?tted straight line was 0.93, and the maximum percentage error was 2.7%. The feasibility of composition monitoring of gradient materials by spectral information during the additive manufacturing process was veri?ed.
关键词： plasma temperature,spectral diagnosis,laser additive manufacturing,composition monitoring
更新于2025-11-28 14:24:20
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[Lecture Notes in Computer Science] Advances in Soft Computing Volume 10632 (16th Mexican International Conference on Artificial Intelligence, MICAI 2017, Enseneda, Mexico, October 23-28, 2017, Proceedings, Part I) || A Survey of Machine Learning Approaches for Age Related Macular Degeneration Diagnosis and Prediction
摘要： Age Related Macular Degeneration (AMD) is a complex disease caused by the interaction of multiple genes and environmental factors. AMD is the leading cause of visual dysfunction and blindness in developed countries, and a rising cause in underdeveloped countries. Currently, retinal images are studied in order to identify drusen in the retina. The classification of these images allows to support the medical diagnosis. Likewise, genetic variants and risk factors are studied in order to make predictive studies of the disease, which are carried out with the support of statistical tools and, recently, with Machine Learning (ML) methods. In this paper, we present a survey of studies performed in complex diseases under both approaches, especially for the case of AMD. We emphasize the approach based on the genetic variants of individuals, as it is a support tool for the prevention of AMD. According to the vision of personalized medicine, disease prevention is a priority to improve the quality of life of people and their families, as well as to avoid the inherent health burden.
关键词： Predictive diagnosis,Machine Learning,Classification,Automated diagnosis,Pattern recognition,AMD
更新于2025-09-23 15:23:52
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High-Definition Optical Coherence Tomography in the Diagnosis of Basal Cell Carcinoma Evaluated by an Experienced Versus Inexperienced Investigator
摘要： Background: Histopathology is the gold standard in the diagnosis of basal cell carcinoma (BCC) but biopsies are invasive and often not the preferred diagnostic method for patients. In this context, non-invasive diagnostic imaging tools such as high definition optical coherence tomography (HD-OCT) have shown promising results in diagnosing BCC in real time, atraumatically and repeatedly. Objective: To evaluate the sensitivity and specificity of HD-OCT in the diagnosis of BCC by an experienced versus an inexperienced investigator and describe typical features in common differential diagnosis of BCC. Patients and methods: Forty three patients with clinical suspicion for BCC were included. The HD-OCT images were evaluated in a blinded manner by an experienced and inexperienced investigator. The results were compared to the histopathological diagnosis. Results: Histopathology revealed 22 BCC, 10 fibrous papules of the face, 5 actinic keratoses, 3 intradermal nevi, 2 squamous cell carcinomas and 1 sebaceous hyperplasia. The sensitivity and specificity in diagnosing BCCs correctly by HD-OCT in the experienced investigator was 86.4% and 90.5%, respectively. In the inexperienced investigator the sensitivity and the specificity was 77.3% and 81.0%, respectively. There was a good inter-observer agreement found between experienced and inexperienced investigators. Conclusion: HD-OCT can be used as auxiliary diagnostic tool in the evaluation and treatment of BCC even by inexperienced investigators.
关键词： Differential,Basal cell carcinoma,Optical coherence tomography,Diagnosis
更新于2025-09-23 15:23:52
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A novel peptide targets CD105 for tumour imaging in?vivo
摘要： Non-antibody-binding proteins (nABPs) have attracted attention in the field of alternative antibody approaches due to their ability to penetrate cell membranes. CD105 has been demonstrated to be a useful marker for identifying angiogenic endothelial, mesenchymal stem and osteosarcoma cells. In the present study, a novel non-antibody-binding protein (namely nABP296) with a high affinity for recombinant human CD105 was identified by M13 phage biopanning. Fluorescence microscopy, flow cytometry and in vivo animal imaging were used to confirm the visualization effect of the novel peptide to the CD105-positive MNNG/HOS cell line in vivo and in vitro. Immunofluorescence of tissue sections was also used to identify the target efficiency of the peptide in tumour sections derived from an MNNG/HOS xenograft tumour model and osteosarcoma patients. This peptide specifically was found to bind to the CD105-positive osteosarcoma MNNG/HOS cell line and the osteosarcoma cells in the histological sections derived from an MNNG/HOS xenograft model and osteosarcoma patients in vitro. This peptide also successfully labelled an animal osteosarcoma xenograft model in vivo. Taken together, a novel peptide that can be used as a potent agent for CD105 molecular targeting was identified, and this peptide can be applied for osteosarcoma visualization in vitro and in vivo.
关键词： CD105,peptide,biomarker,osteosarcoma,diagnosis
更新于2025-09-23 15:23:52
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Methodology for diagnosing crack patterns in masonry structures using photogrammetry and distinct element modeling
摘要： Understanding the causes of damages on existing structures can augment preservation, renovation, and rehabilitation efforts. The aim of this work is to outline a method for diagnosing the most probable causes of cracks on existing structures using a combination of photogrammetry and distinct element modeling (DEM). Five experimental, masonry walls were constructed and cracked; the state of the wall before and after cracking was recorded using photogrammetry. Using distinct element modeling, each test wall was subjected to a variety of loading conditions including the same load case which was used to crack the wall during experimental testing. The crack patterns in the simulations were compared to the experimental crack patterns using a combined qualitative and quantitative method. The simulation which most closely reflected the existing damage patterns was selected as the most probable cause of the damages. For each of the test walls, the real simulated load had the closest fractional distance to the existing damage patterns captured by photogrammetry. This method was then applied to diagnose possible causes of cracking on a foundation wall in the Baptistery of San Giovani in Florence, Italy.
关键词： Distinct element modeling,Masonry,Building pathology,Diagnosis,Crack propagation,Photogrammetry
更新于2025-09-23 15:23:52
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IRT image segmentation and enhancement using FCM-MALO approach
摘要： Infrared Thermography (IRT) is a method that has modernized the way for monitoring the thermal conditions, finding some potential faults or defects that could be available in electrical systems. In the proposed work, IRT electrical images are taken for diagnosing the faults by the image pre-processing and segmentation process. Initially, the IRT images are changed over into a grayscale image, trailed by image pre-processing is performed where histogram equalization is applied. With the intention of segmenting the faulty portion (high temperature zone) from the electrical equipment, Fuzzy C Means (FCM) strategy is introduced. For optimizing the centroid of FCM algorithm Modified Ant Lion Optimization (MALO) is proposed. From the segmented images, small size portions are removed by using Region Props function. This operation can remove the isolated pixels from the image and extract image components for better representation of images. The optimum results show that the proposed work accomplishes maximum segmentation accuracy compared to existing segmentation algorithms.
关键词： Pre-processing,Infrared thermography images,Fault diagnosis,Segmentation,Region props function,Electrical equipment
更新于2025-09-23 15:23:52
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Ultrasensitive detection of miRNA with an antimonene-based surface plasmon resonance sensor
摘要： MicroRNA exhibits differential expression levels in cancer and can affect cellular transformation, carcinogenesis and metastasis. Although fluorescence techniques using dye molecule labels have been studied, label-free molecular-level quantification of miRNA is extremely challenging. We developed a surface plasmon resonance sensor based on two-dimensional nanomaterial of antimonene for the specific label-free detection of clinically relevant biomarkers such as miRNA-21 and miRNA-155. First-principles energetic calculations reveal that antimonene has substantially stronger interaction with ssDNA than the graphene that has been previously used in DNA molecule sensing, due to thanking for more delocalized 5s/5p orbitals in antimonene. The detection limit can reach 10 aM, which is 2.3–10,000 times higher than those of existing miRNA sensors. The combination of not-attempted-before exotic sensing material and SPR architecture represents an approach to unlocking the ultrasensitive detection of miRNA and DNA and provides a promising avenue for the early diagnosis, staging, and monitoring of cancer.
关键词： surface plasmon resonance,biosensor,antimonene,cancer diagnosis,miRNA detection
更新于2025-09-23 15:23:52
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Automatic signal quality check and equipment condition surveillance based on trivalent logic diagnosis theory
摘要： In the field of fault diagnosis, inadequate signals measured for equipment condition monitoring may cause incorrect diagnostic results and reduce the accuracy and reliability of the equipment diagnosis system. This paper proposes a method of signal quality check and equipment condition surveillance based on trivalent logic theory, signal histogram analysis and principal component analysis (PCA), in order to automatically evaluate the quality of measured signals to ensure that the signals are real and valid for the condition diagnosis of equipment, and automatically judge the equipment state for condition surveillance. The novelty of this paper are summarized as: (1) Trivalent logic has been expanded appropriately into the trivalent logic diagnosis theory, so that it can be applied to verify the signal quality in the acquisition process for fault diagnosis and equipment condition surveillance; (2) In order to directly and effectively extract features of a signal following any probability density distribution, the histograms of the signal measured for equipment condition diagnosis is used to substitute time domain symptom parameters which have been generally used in equipment diagnosis technology; (3) PCA is used to integrate the histograms to realize signal quality check and equipment condition surveillance on the basis of the trivalent logic diagnosis theory. By the method proposed in this paper, the moment when the signal for equipment condition diagnosis is relatively stable can be found, and the unfavorable signal can be avoided for ensuring the accuracy and reliability of the equipment condition diagnosis. Simulation signals and real signals measured in various conditions from a blower are respectively used to verify the effectiveness of the proposed method.
关键词： Condition monitoring,Fault diagnosis,Measurement errors,Histograms,Vibration measurement
更新于2025-09-23 15:23:52
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[IEEE 2018 IEEE International Conference on Imaging Systems and Techniques (IST) - Krakow, Poland (2018.10.16-2018.10.18)] 2018 IEEE International Conference on Imaging Systems and Techniques (IST) - Application of ANN and ANFIS for detection of brain tumors in MRIs by using DWT and GLCM texture analysis
摘要： In this work we combine different methodologies in order to develop algorithms for Computer-Aided Diagnosis (CAD) for brain tumors from the axial plane (T2 MRI). All methods utilize texture analysis by extracting features from raw data, without post-processing, based on different techniques, such as Gray Level Co-Occurrence Matrix (GLCM), or Discrete Wavelet Transform (DWT) and different classification methods, based on ANN or ANFIS. All of our proposed methodologies are developed, validated and verified on various sub data including 65% non-healthy MRIS. The total used database consists of 202 MRIs from non-healthy patients and 18 from healthy, segmented visually by an experienced neurosurgeon. Combining different subsets of features, our best results are by using 4 GLCM features for a 4 input and two hidden layers ANN, giving sensitivity 100%, specificity 77.8% accuracy 94.3%. It is proved that the input data to train such a CAD are considered to be unbiased if the ratio between healthy/un-healthy tissue MRIs is about 35%/65%, respectively.
关键词： MRI tumor CAD diagnosis,DWT,ANFIS,GLCM,ANN
更新于2025-09-23 15:23:52
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[IEEE 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) - Salt Lake City, UT, USA (2018.6.18-2018.6.23)] 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition - Crafting a Toolchain for Image Restoration by Deep Reinforcement Learning
摘要： Background: Malignant insulinoma is extremely rare and accounts for only 10% of total insulinoma cases. The goal of this study is to retrospectively analyze clinical data from 15 patients with malignant insulinoma treated at Peking Union Medical College Hospital (PUMCH) from 1984 to April 2017. Methods: “Malignant insulinoma” was used as the keywords in the PUMCH medical record retrieval system to search and obtain patients’ clinical information. We identified subjects diagnosed with malignant insulinoma based on clinical or surgical pathological signs and subsequently analyzed their clinical data. Results: Eight males and seven females with a median age at diagnosis of 40 years (38–54 years) were included. Eight patients (53%) had developed metastases at diagnosis, while the others (46.67%) developed metastases during the follow-up visits. The major sites of metastasis were the liver (86.7%), local tissues and blood vessels (33%) and abdominal lymph nodes (13%). All patients displayed neuroglycopenic (100%) and/or autonomic (60%) symptoms, mostly during fasting periods (73.3%), with an average blood glucose level of 1.66 ± 0.51 mmol/L. A total of 93% of the patients had one primary pancreatic lesion, 53% had a lesion in the head of the pancreas, and 47% had a lesion in the tail of the pancreas, with diameters ranging between 0.9 and 6.0 cm. Most liver metastases were multiple lesions. Selective celiac arteriography yielded 100% sensitivity for both primary pancreatic lesions and liver metastases. Most patients received synthetical treatments, including surgery, chemoembolization, and octreotide. Conclusions: Malignant insulinomas have a similar diagnostic process to that of benign insulinomas but require far more comprehensive therapies to alleviate hypoglycemic symptoms and extend patients’ survival.
关键词： Hypoglycemia,Hyperinsulinism,Malignant insulinoma,Metastasis,Therapeutics,Diagnosis
更新于2025-09-23 15:23:52