Two‐stage coarse‐to‐fine method for pathological images in medical decision‐making systems by Keke He, Jun Zhu, Limiao Li, Fangfang Gou, Jia Wu

“…Medical image analysis is an important part of decision systems and an even more important part of medical diagnosis and treatment. The wealth of cellular information in histopathological images makes them a reliable means of diagnosing tumors. …”
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Sparse-View CT Reconstruction Based on a Hybrid Domain Model with Multi-Level Wavelet Transform by Jielin Bai, Yitong Liu, Hongwen Yang

“…The reconstruction of sparsely sampled projection data will generate obvious streaking artifacts, resulting in image quality degradation and affecting medical diagnosis results. Wavelet transform can effectively decompose directional components of image, so the artifact features and edge details with high directionality can be better detected in the wavelet domain. …”
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Associations between social integration, participation and productivity loss among persons with chronic pain: a registry based cross sectional study by Thomas Friedli, Jeannette Brodbeck, Brigitte E. Gantschnig

“…To be included, persons had to be 18 years old or older, in paid work, and had to have a medical diagnosis of chronic pain syndrome with actual or potential tissue damage. …”
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Challenges and Opportunities of Deep Learning for Cough-Based COVID-19 Diagnosis: A Scoping Review by Syrine Ghrabli, Mohamed Elgendi, Carlo Menon

“…Deep learning models have been proven to be capable of efficient medical diagnosis and prognosis in cancer, common lung diseases, and COVID-19. …”
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Deep learning-based automatic segmentation of COVID-19 in chest X-ray images using ensemble neural net sentinel algorithm by R. Catherine Junia, Selvan K

“…Automatic segmentation and classifying medical images remains the most difficult obstacle in medical diagnosis, however, because of the lack of annotated medical images. …”
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Smartphone-Based Food Diagnostic Technologies: A Review by Giovanni Rateni, Paolo Dario, Filippo Cavallo

“…The marriage of novel sensing technologies with cellphones enables the development of powerful lab-on-smartphone platforms for many important applications including medical diagnosis, environmental monitoring, and food safety analysis. …”
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Assessment of Cranial Deformation Indices by Automatic Smartphone-Based Photogrammetric Modelling by Sergio Baselga, Gaspar Mora-Navarro, José Luis Lerma

“…In conclusion, the PhotoMeDAS solution improves the uncertainty obtained in an ordinary paediatric consultation and can be recommended as a tool for doctors to establish an adequate medical diagnosis based on comprehensive cranial deformation indices, which is much more precise and complete than the information obtained by existing analogue devices (measuring tapes and callipers) and easier to use and less expensive than radiological imaging (CT and MRI).…”
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Fluorescent Probes as a Tool in Diagnostic and Drug Delivery Systems by Nikolai I. Georgiev, Ventsislav V. Bakov, Kameliya K. Anichina, Vladimir B. Bojinov

“…This review presents the basic photophysical principles and strategies for the rational design of fluorescent probes as visualization agents in medical diagnosis and drug delivery systems. Common photophysical phenomena, such as Intramolecular Charge Transfer (ICT), Twisted Intramolecular Charge Transfer (TICT), Photoinduced Electron Transfer (PET), Excited-State Intramolecular Proton Transfer (ESIPT), Fluorescent Resonance Energy Transfer (FRET), and Aggregation-Induced Emission (AIE), are described as platforms for fluorescence sensing and imaging in vivo and in vitro. …”
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Synthesis of Au–Cu Alloy Nanoparticles as Peroxidase Mimetics for H₂O₂ and Glucose Colorimetric Detection by Cun Liu, Sang Hyuk Im, Taekyung Yu

“…The detection of hydrogen peroxide (H₂O₂) is essential in many research fields, including medical diagnosis, food safety, and environmental monitoring. …”
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Three filters for the enhancement of the images acquired from fluorescence microscope and weak-light-sources and the image compression by Man Jia, Jingmei Xu, Ruoxi Yang, Zongan Li, Ling Zhang, Ye Wu

“…Fluorescence images enhancement is important as it can provide more information for medical diagnosis. In this work, we design three simple yet useful filters based on the combinations of mathematical functions, which are proved to be effective in strengthening the images acquired from the fluorescence microscope. …”
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An adaptive optimum weighted mean filter and bilateral filter for noise removal in cardiac MRI images by R. Radhika, Rashima Mahajan

“…Medical diagnosis greatly benefits from the use of MRI images. …”
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Physiological and pathological tongue conditions – the role of endogenous and exogenous factors by Polina Zalewska, Małgorzata Radwan-Oczko

“…Multifactorial etiology of the tongue lesions and non-specificity of symptoms reported by the patients make it difficult to establish a correct medical diagnosis. The aim of the study is to present the most common tongue lesions, and to broaden knowledge of all medical specialists concerning the specific and non-specific tongue changes that can occur under the influence of local or general factors. …”
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A novel breast cancer diagnostic using convolutional squared deviation neural network classifier with Al-Biruni Earth Radius optimization in medical IoT system by G. Mohan, Muhammadu Sathik Raja, S. Swathi, E.N. Ganesh

“…In this study, we present an IoT-based medical diagnosis system that can successfully discriminate malignant individuals from positive individuals in an IoT environment to address the challenge of early breast cancer detection. …”
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A predictive analytics approach for stroke prediction using machine learning and neural networks by Soumyabrata Dev, Hewei Wang, Chidozie Shamrock Nwosu, Nishtha Jain, Bharadwaj Veeravalli, Deepu John

“…With an increased synergy between technology and medical diagnosis, caregivers create opportunities for better patient management by systematically mining and archiving the patients’ medical records. …”
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Acoustic-propelled micro/nanomotors and nanoparticles for biomedical research, diagnosis, and therapeutic applications by Guanyu Mu, Yu Qiao, Mingyang Sui, Kenneth T. V. Grattan, Kenneth T. V. Grattan, Huijuan Dong, Jie Zhao

“…Acoustic manipulation techniques have gained significant attention across various fields, particularly in medical diagnosis and biochemical research, due to their biocompatibility and non-contact operation. …”
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Research on medical data storage and sharing model based on blockchain by Jian Zhao, Wenqian Qiang, Zisong Zhao, Tianbo An, Zhejun Kuang, Dawei Xu, Lijuan Shi

“…With the process of medical informatization, medical diagnosis results are recorded and shared in the form of electronic data in the computer. …”
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Gaussian Mixture with Max Expectation Guide for Stacked Architecture of Denoising Autoencoder and DRBM for Medical Chest Scans and Disease Identification by Mona Jamjoom, Abeer M. Mahmoud, Safia Abbas, Rania Hodhod

“…Artificial intelligence (AI), in particular deep learning, has proven to be efficient in medical diagnosis. This paper introduces a new hybrid deep learning model for pneumonia diagnosis based on chest CT scans. …”
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Comparison of the Predictive Performance of Medical Coding Diagnosis Classification Systems by Dimitrios Zikos, Nailya DeLellis

“…A foundational predictor of clinical outcomes is the medical diagnosis (Dx). The most used expression of medical Dx is the International Classification of Diseases (ICD-10-CM). …”
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Periodontal Management of Leukocyte Adhesion Deficiency Type-I with Photodynamic Therapy-A Case Report by Divyasree Nadakuditi, Gopinath Cheni, Sowmya Lahari Sekuri, Kishore Kumar Katuri

“…A case of aggressive form of generalised periodontitis in a 19-year-old girl with LAD-I is presented in this case report. The medical diagnosis was made on the basis of characteristic clinical and laboratory findings suggestive of LAD, particularly the total absence of Cluster of Differentiation (CD)18, CD11a, CD11b, and CD11c which were determined by flow cytometry. …”
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COVID-19 Detection using Deep Learning Classifiers with Histogram Equalization and Contour-Based X-Ray Images by Hijazi Mohd Hanafi Ahmad, Abdul Yazid Nur Dinie Balqis, Nohuddin Puteri Nor Ellyza

“…Accurate and prompt medical diagnosis is crucial in combating the spread of the disease. …”
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