Deep learning in drug discovery: opportunities, challenges and future prospects
A Lavecchia - Drug discovery today, 2019 - Elsevier
Highlights•Deep learning methods have gained outstanding achievements.•We review deep
learning methods/tools relevant to drug discovery research.•We discuss opportunities …
learning methods/tools relevant to drug discovery research.•We discuss opportunities …
[HTML][HTML] A comprehensive review of image analysis methods for microorganism counting: from classical image processing to deep learning approaches
Microorganisms such as bacteria and fungi play essential roles in many application fields,
like biotechnique, medical technique and industrial domain. Microorganism counting …
like biotechnique, medical technique and industrial domain. Microorganism counting …
Applications of deep learning and reinforcement learning to biological data
Rapid advances in hardware-based technologies during the past decades have opened up
new possibilities for life scientists to gather multimodal data in various application domains …
new possibilities for life scientists to gather multimodal data in various application domains …
Classification of breast cancer based on histology images using convolutional neural networks
D Bardou, K Zhang, SM Ahmad - Ieee Access, 2018 - ieeexplore.ieee.org
In recent years, the classification of breast cancer has been the topic of interest in the field of
Healthcare informatics, because it is the second main cause of cancer-related deaths in …
Healthcare informatics, because it is the second main cause of cancer-related deaths in …
[HTML][HTML] Machine learning and deep learning based computational approaches in automatic microorganisms image recognition: methodologies, challenges, and …
Microorganisms or microbes comprise majority of the diversity on earth and are extremely
important to human life. They are also integral to processes in the ecosystem. The process of …
important to human life. They are also integral to processes in the ecosystem. The process of …
Lung sounds classification using convolutional neural networks
D Bardou, K Zhang, SM Ahmad - Artificial intelligence in medicine, 2018 - Elsevier
Lung sounds convey relevant information related to pulmonary disorders, and to evaluate
patients with pulmonary conditions, the physician or the doctor uses the traditional …
patients with pulmonary conditions, the physician or the doctor uses the traditional …
A novel method to improve methane generation from waste sludge using iron nanoparticles coated with magnesium hydroxide
In response to the low efficiency of the anaerobic digestion (AD) process in generating
methane gas, we apply for the first time the use of coated/Fe 0 with Mg (OH) 2 to enhance …
methane gas, we apply for the first time the use of coated/Fe 0 with Mg (OH) 2 to enhance …
Deep learning for imaging and detection of microorganisms
Y Zhang, H Jiang, T Ye, M Juhas - Trends in Microbiology, 2021 - cell.com
Despite tremendous recent interest, the application of deep learning in microbiology has still
not reached its full potential. To tackle the challenges faced by human-operated microscopy …
not reached its full potential. To tackle the challenges faced by human-operated microscopy …
Image generation by GAN and style transfer for agar plate image segmentation
Background and objectives. Deep learning models and specifically Convolutional Neural
Networks (CNNs) are becoming the leading approach in many computer vision tasks …
Networks (CNNs) are becoming the leading approach in many computer vision tasks …
[HTML][HTML] Machine learning in the clinical microbiology laboratory: has the time come for routine practice?
Background Machine learning (ML) allows the analysis of complex and large data sets and
has the potential to improve health care. The clinical microbiology laboratory, at the interface …
has the potential to improve health care. The clinical microbiology laboratory, at the interface …