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Domantas Kuzinkovas and Sandhya Clement
Advances in the field of image classification using convolutional neural networks (CNNs) have greatly improved the accuracy of medical image diagnosis by radiologists. Numerous research groups have applied CNN methods to diagnose respiratory illnesses fr...
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Kavitha Srinivasan, Sainath Prasanna, Rohit Midha, Shraddhaa Mohan
Pág. 1 - 20
Advances have been made in the field of Machine Learning showing that it is an effective tool that can be used for solving real world problems. This success is hugely attributed to the availability of accessible data which is not the case for many fields...
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Meenakshisundaram Menaga, Perepi Rajasulochana, Sugantham Felix, Shanmugam Sudarshan, Ashish Kapoor, Kumaraswamy Gandla, Moustafa M. Saleh, Adel Ehab Ibrahim and Sami El Deeb
A comparison of the growth performance of Penaeus vannamei was ascertained by supplementing the potential probiotics isolated from a biofloc system incorporated through feed. Post-larvae shrimp (0.045 ± 0.005 g) were stocked at a density of 500/m3 in FRP...
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Munum Hassan, Kinza Saif, Muhammad Saad Ijaz, Zouina Sarfraz, Azza Sarfraz, Karla Robles-Velasco and Ivan Cherrez-Ojeda
The Central African Region is an agricultural and fishing-based economy, with 40% of the population living in rural communities. The negative impacts of climate change have caused economic/health-related adverse impacts and food insecurity. This original...
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Tingting Wu, Bisong Hu, Jin Luo and Shuhua Qi
The novel coronavirus pneumonia (COVID-19) pandemic has caused enormous impacts around the world. Characterizing the risk dynamics for urgent epidemics such as COVID-19 is of great benefit to epidemic control and emergency management. This article presen...
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Prajoy Podder, Fatema Binte Alam, M. Rubaiyat Hossain Mondal, Md Junayed Hasan, Ali Rohan and Subrato Bharati
Due to its high transmissibility, the COVID-19 pandemic has placed an unprecedented burden on healthcare systems worldwide. X-ray imaging of the chest has emerged as a valuable and cost-effective tool for detecting and diagnosing COVID-19 patients. In th...
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Shubham Mathesul, Debabrata Swain, Santosh Kumar Satapathy, Ayush Rambhad, Biswaranjan Acharya, Vassilis C. Gerogiannis and Andreas Kanavos
The COVID-19 pandemic has posed significant challenges in accurately diagnosing the disease, as severe cases may present symptoms similar to pneumonia. Real-Time Reverse Transcriptase Polymerase Chain Reaction (RT-PCR) is the conventional diagnostic tech...
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Álvaro Astasio-Picado, Francisco Javier Perdones Jiménez, Miriam López-Sánchez, Jesús Jurado-Palomo and María del Carmen Zabala-Baños
Introduction: Ventilator-associated pneumonia (VAP) constitutes a real iatrogenic health problem, which can lead to a higher rate of hospital admission days associated with the morbidity and mortality that it could cause. Objective: To study and learn ab...
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Albatoul S. Althenayan, Shada A. AlSalamah, Sherin Aly, Thamer Nouh and Abdulrahman A. Mirza
Coronavirus disease (COVID-19) is a viral pneumonia that originated in China and has rapidly spread around the world. Early diagnosis is important to provide effective and timely treatment. Thus, many studies have attempted to solve the COVID-19 classifi...
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Jessica Imbrescia, Giulia Volpi, Silvia Lucchini, Cristian Toraci, Giorgio Facheris, Salvatore La Mattina, Navdeep Singh, Filippo Vaccher, Andrea Guerini, Michela Buglione di Monale e Bastia, Alessio Bruni and Paolo Borghetti
Background: The standard treatment for locally advanced non-small cell lung cancer (LA-NSCLC) is represented by concomitant chemo-radiotherapy followed by consolidation with durvalumab that ensures a 5-year survival of 46%. However, the risk of radiother...
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