Real-time high contrast vein visualisation in active dynamic thermography by Lim, Jia Ler

“…The project aims to investigate a real-time projection system using ADT, given the fact that in addition to vein visualization, such a device can be used for other medical diagnosis and monitoring applications, hence there is huge market potential. …”
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Primal-dual net for multi-contrast CS-MRI reconstruction by Yang, Renen

“…Through various technical methods, we can recover high-quality medical images from these under-sampled data for medical diagnosis. To this end, this paper proposes a variety of neural network methods for under-sampled magnetic resonance image reconstruction, aiming to obtain as high-quality reconstructed images as possible. …”
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Multi-Sensor health monitoring system by Lim, Yong Xiu

“…Thus, a useful Health Monitoring System needs to be portable, low cost and monitors data in real time to be subsequently analysed for medical diagnosis. The objective of the project is to implement a Multi-Sensor Platform that can be used to record, process and display some of the vital signs such as oxygen saturation, heart rate and human body temperature on a smartphone. …”
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Conditional random fields meet deep neural networks for semantic segmentation: combining probabilistic graphical models with deep learning for structured prediction by Arnab, A, Zheng, S, Jayasumana, S, Romera-Paredes, B, Larsson, M, Kirillov, A, Savchynskyy, B, Rother, C, Kahl, F, Torr, P

“…It has numerous applications in scenarios where the detailed understanding of an image is required, such as in autonomous vehicles and medical diagnosis. This problem has traditionally been solved with probabilistic models known as Conditional Random Fields (CRFs) due to their ability to model the relationships between the pixels being predicted. …”

Gender decision dilemma of Disorders of Sex Development (Khunsa) in Islamic Law with medical approach by Susilo, Edi, Zahro, Ahmad, Santoso, Budi, Faradz, Sultana MH

“…Understanding and adjustment of medical diagnosis issues, community culture, and religious law need to be synchronized to improve the quality of life for people with gender ambiguity that do not deviate from religious principles and can be accepted in society without discrimination. …”
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Electrospin-coating of nitrocellulose membrane enhances sensitivity in nucleic acid-based lateral flow assay by Yew, Chee Hong, Azari, Pedram, Choi, Jane Ru, Li, Fei, Pingguan-Murphy, Belinda

“…Point-of-care biosensors are important tools developed to aid medical diagnosis and testing, food safety and environmental monitoring. …”

Cellco: portable device for automated blood cell count and abnormal cell detection by Chan, Z. H., Su, E. L. M., Lim, Y. M., Langeh Randin, E. E., Yeong, C. F., Abdul Razak, M. A., Ariffin, I.

“…In medical diagnosis, cell counting and cell analysis are very important to determine our health condition. …”

Electrochemical-based biosensors on different zinc oxide nanostructures: A review by Mohd. Napi, Muhammad Luqman, Mohamed Sultan, Suhana

“…Electrochemical biosensors have shown great potential in the medical diagnosis field. The performance of electrochemical biosensors depends on the sensing materials used. …”

Utilization of an artificial neural network in the prediction of heart disease by Awang, Mohd Khalid, Siraj, Fadzilah

“…This paper intents to assess the application of artificial neural network in predicting the presence of heart disease, mainly the angina in patients.The prediction and detection of angina are significant in determining the most appropriate form of treatment for these patients.The development of the application involves three main phases.The first phase is the development of Heart Disease Management Information System (HDMIS) for data collection and patient management.Then followed by the second phase, which is the development of Neural Network Simulator (NNS) using back propagation neural network for training and testing.The final phase is the development of Prediction System (PS) for prediction on new patient’s data.The best network model produced prediction accuracy of 88.89 percent.Apart from proving the ability of neural network technology in medical diagnosis, this study also shown how the neural network could be incorporated into the hospital information system as a prediction tool.As the pilot project, the application developed could be used as the starting point in building a medical decision support system, particularly in diagnosing the heart disease.…”
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Division of Responsibility in Child Feeding and Eating Competence among Brazilian Caregivers by Rafaella Dusi, Raquel Braz Assunção Botelho, Eduardo Yoshio Nakano, Fabiana Lopes Nalon de Queiroz, Renata Puppin Zandonadi

“…Caregivers who reported (<i>n</i> = 100) that their children had some medical diagnosis (e.g., food allergy, autism, or Down syndrome) had lower sDOR adherence scores than caregivers who indicated their children had no medical diagnosis (<i>p</i> = 0.031). …”
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Hermansky-Pudlak syndrome type 2: A rare cause of severe periodontitis in adolescents—A case study by Jun Chen, Jun Chen, Yifan Yang, Binjie Liu, Binjie Liu, Xiaoli Xie, Wenjie Li, Wenjie Li, Wenjie Li

“…Following the medical diagnosis, a periodontal diagnosis of “periodontitis as a manifestation of systemic disease” was assigned to the patient. …”
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The clinical effectiveness and costeffectiveness of exercise referral schemes: A systematic review and economic evaluation by Pavey, T, Anokye, N, Taylor, A, Trueman, P, Moxham, T, Fox, K, Hillsdon, M, Green, C, Campbell, J, Foster, C, Mutrie, N, Searle, J, Taylor, R

“…Conclusions: There remains considerable uncertainty as to the effectiveness of ERS for increasing activity, fitness or health indicators or whether they are an efficient use of resources in sedentary people without a medical diagnosis. We failed to identify any trialbased evidence of the effectiveness of ERS in those with a medical diagnosis. …”

Synchronous recording of magnetocardiographic and electrocardiographic signals by Kazimierz Pȩczalski, Judyta Sobiech, Teodor Buchner, Thomas Kornack, Elizabeth Foley, Daniel Janczak, Małgorzata Jakubowska, David Newby, Nancy Ford, Maryla Zajdel

“…The results seem to prove, that the relation between the magnetic and the electric imaging of neural activities may be broadly applied for the benefit of medical diagnosis in cardiology and many other fields, where the neural activity is measured. …”
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An Overview on the Application of Solid Phase Microextraction in the Analysis of Volatile Organic Compounds as Potential Biomarkers of Cancer by Zahra Ayazi, Samira Pashayi Sarnaghi

“…Detection of volatile organic compounds (VOCs) as biomarkers of the body's metabolic processes is a new frontier in the fast, sensitive, selective and non-invasive analysis and medical diagnosis of human diseases. VOCs as biomarkers in the human body can be distinct and specific to metabolic conditions or diseases. …”
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Multi-Modality Medical Image Fusion Using Convolutional Neural Network and Contrast Pyramid by Kunpeng Wang, Mingyao Zheng, Hongyan Wei, Guanqiu Qi, Yuanyuan Li

“…Medical image fusion techniques can fuse medical images from different morphologies to make the medical diagnosis more reliable and accurate, which play an increasingly important role in many clinical applications. …”
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Artificial Intelligence-Based Multimodal Medical Image Fusion Using Hybrid S² Optimal CNN by Marwah Mohammad Almasri, Abrar Mohammed Alajlan

“…In medical applications, medical image fusion methods are capable of fusing the medical images from various morphologies to obtain a reliable medical diagnosis. A single modality image cannot provide sufficient information for an exact diagnosis. …”
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X- ray experimental set-up for in-vitro nail test by Cibele Bugno Zamboni, Dalton Nogueira da Silva Giovanni, Mateus Ramos de Almeida, Alberto Sabino Todo, Fabio Sabará Dias, Orlando Rodrigues Junior

“…These analyses can be useful for a variety of applications, including nutritional and medical diagnosis, such as, the evaluation of bone dysfunctions by measurement of Ca (bone decalcification) and S for nutrition evaluations (collagen production). …”
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A Modular Deep Learning Architecture for Voice Pathology Classification by Ioanna Miliaresi, Aggelos Pikrakis

“…The development of methods that combine different sources of information for medical diagnosis is an essential challenge in the field of medical informatics. …”
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High-Performance FET-Based Dopamine-Sensitive Biosensor Platform Based on SOI Substrate by Tae-Hwan Hyun, Won-Ju Cho

“…Therefore, the proposed FET-based dopamine sensor is expected to be widely applied as a highly sensitive and reliable biosensor platform, enabling fast and accurate detection of dopamine levels in various applications such as medical diagnosis and drug development.…”
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Optimization of MLP Neural Network Using the FinGrain Parallel Genetic Algorithm for Breast Cancer Diagnosis by Amin Rezaeipanah, Ali Mobaraki, saeed Bahrani Khademi

“…Today, the use of intelligent systems in medical diagnosis is gradually increasing. These systems lead to a reduction in error, which may be experienced by inexperienced experts. …”
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