Computers in Biology and Medicine
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#1Mamun Ali (DIU: Daffodil International University)H-Index: 1
#2Kawsar Ahmed (MBSTU: Mawlana Bhashani Science and Technology University)H-Index: 29
Last. Mohammad Ali Moni (UQ: University of Queensland)H-Index: 22
view all 7 authors...
Abstract null null Cervical cancer (CC) is the most common type of cancer in women and remains a significant cause of mortality, particularly in less developed countries, although it can be effectively treated if detected at an early stage. This study aimed to find efficient machine-learning-based classifying models to detect early stage CC using clinical data. We obtained a Kaggle data repository CC dataset which contained four classes of attributes including biopsy, cytology, Hinselmann, and S...
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#1Yi-Guang Yang (BUAA: Beihang University)H-Index: 1
#2Juncheng Wang (PUMCH: Peking Union Medical College Hospital)H-Index: 3
Last. Haopeng Zhang (BUAA: Beihang University)
view all 8 authors...
Abstract null null Background null Psoriasis is a common chronic inflammatory skin disease that causes physical and psychological burden to patients. A Convolutional Neural Network (CNN) focused on dermoscopic images would substantially aid the classification and increase the accuracy of diagnosis of psoriasis. null null null Objectives null This study aimed to train an efficient deep-learning network to recognize dermoscopic images of psoriasis (and other papulosquamous diseases), improving the...
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#1Ruben Molero (UPV: Universitat Politècnica de València)
#2José Manuel Soler Torro (UPV: Universitat Politècnica de València)
Last. Maria S. Guillem (UPV: Universitat Politècnica de València)H-Index: 17
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Abstract null null Background null Electrocardiographic imaging (ECGI) allows evaluating the complexity of the reentrant activity of atrial fibrillation (AF) patients. In this study, we evaluated the ability of ECGI metrics to predict the success of pulmonary vein isolation (PVI) to treat AF. null null null Methods null ECGI of 24 AF patients (6 males, 13 paroxysmal, 61.8 ± 14 years) was recorded prior to PVI. Patients were distributed into two groups based on their PVI outcome 6 months after ab...
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#1Qimin Shi (KUL: KU Leuven)H-Index: 11
#2Yi Sun (KUL: KU Leuven)H-Index: 14
Last. Constantinus Politis (KUL: KU Leuven)H-Index: 28
view all 9 authors...
Abstract null null Background null A combination of short titanium plates fabricated using additive manufacturing (AM) provides multiple advantages for complete mandible reconstruction, such as the minimisation of inherent implant deformation formed during AM and the resulting clinical impact, as well as greater flexibility for surgical operation. However, the biomechanical feasibility of this strategy is still unclear, and therefore needs to be explored. null null null Method null Three differe...
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#1Fahmida Haque (NUM: National University of Malaysia)H-Index: 3
#2Mamun Bin Ibne Reaz (NUM: National University of Malaysia)H-Index: 25
Last. Mohammad Arif Sobhan Bhuiyan (XMU: Xiamen University)H-Index: 11
view all 9 authors...
Abstract null null Background null Diabetic Sensorimotor polyneuropathy (DSPN) is one of the major indelible complications in diabetic patients. Michigan neuropathy screening instrumentation (MNSI) is one of the most common screening techniques used for DSPN, however, it does not provide any direct severity grading system. null null null Method null For designing and modeling the DSPN severity grading systems for MNSI, 19 years of data from Epidemiology of Diabetes Interventions and Complication...
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#1Fakhira Zahra Zulfira (Tel-U: Telkom University)H-Index: 1
#2Suyanto Suyanto (Tel-U: Telkom University)H-Index: 14
Last. Anindita Septiarini (Unmul: Mulawarman University)H-Index: 7
view all 3 authors...
Abstract null null The severity of glaucoma can be observed by categorising glaucoma diseases into several classes based on a classification process. The two most suitable parameters, cup-to-disc ratio (CDR) and peripapillary atrophy (PPA), which are commonly used to identify glaucoma are utilised in this study to strengthen the classification. First, an active contour snake (ACS) is employed to retrieve both optic disc (OD) and optic cup (OC) values, which are required to calculate the CDR. Mor...
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#1Haythem Ghazouani (University of Carthage)H-Index: 3
#2Walid Barhoumi (University of Carthage)H-Index: 15
Abstract null null Analysing local texture and generating features are two key issues for automatic cancer detection in mammographic images. Recent researches have shown that deep neural networks provide a promising alternative to hand-driven features which suffer from curse of dimensionality and low accuracy rates. However, large and balanced training data are foremost requirements for deep learning-based models and these data are not always available publicly. In this work, we propose a fully-...
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#1Farman Ali (NUST: Nanjing University of Science and Technology)H-Index: 10
#2Shahid Akbar (AWKUM: Abdul Wali Khan University Mardan)H-Index: 7
Last. Dhani Bux Talpur (GUET: Guilin University of Electronic Technology)
view all 6 authors...
Abstract null null In extremely cold environments, living organisms like plants, animals, fishes, and microbes can die due to the intracellular ice formation in their bodies. To sustain life in such cold environments, some cold-blooded species produced Antifreeze proteins (AFPs), also called ice-binding proteins. AFPs are not only limited to the medical field but also have diverse significance in the area of biotechnology, agriculture, and the food industry. Different AFPs exhibit high heterogen...
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#1Hernan S. Alar (Ateneo de Manila University)
#2Proceso L. Fernandez (Ateneo de Manila University)H-Index: 6
Abstract null null The automatic identification of mosquito genus, if used together with effective strategies of suppression and control may help reduce the spread of mosquito-borne diseases. In this study, we explored and developed a simple and yet very effective algorithm for processing audio files to determine the presence (or absence) of a mosquito and then identify the correct genus for those involving a mosquito. A dataset of sound recordings from the Humbug Project of Zooniverse, collecte...
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#1Rachel Smith (University of Canterbury)H-Index: 2
#2Christopher G. Pretty (University of Canterbury)H-Index: 23
Last. J. Geoffrey Chase (University of Canterbury)H-Index: 56
view all 5 authors...
Abstract null null Background null Intravenous fluid infusions are an important therapy for patients with circulatory shock. However, it is challenging to predict how patients’ cardiac stroke volume (SV) will respond, and thus identify how much fluids should be delivered, if any. Model-predicted SV time-profiles of response to fluid infusions could potentially be used to guide fluid therapy. null null null Method null A clinically applicable model-based method predicts SV changes in response to ...
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