查看更多>>摘要：Background: Tuberculosis is an infectious disease that is caused by Mycobacterium tuberculosis (MTB), which mostly affects the lungs of humans. Bright-field microscopy and fluorescence microscopy are two major testing techniques used for tuberculosis (TB) detection. TB bacilli were identified and counted manually from sputum under a microscope and were found to be tedious, laborious and error prone. To eliminate this problem, traditional image processing techniques and deep learning (DL) models were deployed here to build computer-aided diagnosis (CADx) systems for TB detection. Methods: In this paper, we performed a systematic review on image processing techniques used in developing computer-aided diagnosis systems for TB detection. Articles selected for this review were retrieved from publication databases such as Science Direct, ACM, IEEE Xplore, Springer Link and PubMed. After a rigorous pruning exercise, 42 articles were selected, of which 21 were journal articles and 21 were conference articles. Result: Image processing techniques and deep neural networks such as CNN and DCNN proposed in the literature along with clinical applications are presented and discussed. The performance of these techniques has been evaluated on metrics such as accuracy, sensitivity, specificity, precision and F-1 score and is presented accordingly. Conclusion: CADx systems built on DL models performed better in TB detection and classification due to their abstraction of low-level features, better generalization and minimal or no human intervention in their operations. Research gaps identified in the literature have been highlighted and discussed for further investigation.
查看更多>>摘要：The article by Andrew Huxley in this journal in 1957, "Muscle Structure and theories of Contraction" is much more than a standard review of a field. It is itself a major theoretical modelling achievement: the first mathematical model of the contractile process in skeletal muscle. That model was based on careful microscopic analysis of the striation patterns in skeletal muscles. Cited 4456 times, it holds the record for this journal.
查看更多>>摘要：In this historic article we witness the author's own account of his great discovery: the nature and location of the enzyme system enabling sodium-potassium exchange across membranes in living cells, particu-larly nerve cells. That discovery has stood the test of time. active ion transport of sodium and potassium ions through cell membranes is ubiquitous.(c) 2022 Elsevier Ltd. All rights reserved.
查看更多>>摘要：The 1968 review article on Calcium ion and muscle contraction by Setsuro Ebashi and Makoto Endo is one of the highest cited in the journal since it was required reading in the early days of understanding what triggers contraction of the myofilaments. It correctly identified the major steps in excitationcontraction coupling and still inspires mathematical models of muscle activity today. It also successfully identified the role of troponin.
查看更多>>摘要：This Historic Article was based on pioneering work by the laboratory of the Founding Editor of the journal to characterise the different forms of histones in the nucleus and their relationship with DNA. The classification determined in 1968 bears strong relationship to that known today. Most importantly, the work clarified that the inhibitory effect of histones on DNA is a general one and would not explain the subsequent differentiation of cells during development in multicellular organisms. Extensive work on the amino acids in histones leads to the understanding that negatively charged DNA naturally attaches itself to positively charged histones. (c) 2022 Elsevier Ltd. All rights reserved.
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