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Transfer learning for medical image classification: a literature review
HE Kim, A Cosa-Linan, N Santhanam, M Jannesari… - BMC medical …, 2022 - Springer
Background Transfer learning (TL) with convolutional neural networks aims to improve
performances on a new task by leveraging the knowledge of similar tasks learned in …
performances on a new task by leveraging the knowledge of similar tasks learned in …
Deep learning for medical image-based cancer diagnosis
Simple Summary Deep learning has succeeded greatly in medical image-based cancer
diagnosis. To help readers better understand the current research status and ideas, this …
diagnosis. To help readers better understand the current research status and ideas, this …
Neuroprosthesis for decoding speech in a paralyzed person with anarthria
DA Moses, SL Metzger, JR Liu… - … England Journal of …, 2021 - Mass Medical Soc
Background Technology to restore the ability to communicate in paralyzed persons who
cannot speak has the potential to improve autonomy and quality of life. An approach that …
cannot speak has the potential to improve autonomy and quality of life. An approach that …
When will RNA get its AlphaFold moment?
B Schneider, BA Sweeney, A Bateman… - Nucleic Acids …, 2023 - academic.oup.com
The protein structure prediction problem has been solved for many types of proteins by
AlphaFold. Recently, there has been considerable excitement to build off the success of …
AlphaFold. Recently, there has been considerable excitement to build off the success of …
[HTML][HTML] A survey of deep convolutional neural networks applied for prediction of plant leaf diseases
In the modern era, deep learning techniques have emerged as powerful tools in image
recognition. Convolutional Neural Networks, one of the deep learning tools, have attained …
recognition. Convolutional Neural Networks, one of the deep learning tools, have attained …
An improved forest fire detection method based on the detectron2 model and a deep learning approach
AB Abdusalomov, BMDS Islam, R Nasimov… - Sensors, 2023 - mdpi.com
With an increase in both global warming and the human population, forest fires have
become a major global concern. This can lead to climatic shifts and the greenhouse effect …
become a major global concern. This can lead to climatic shifts and the greenhouse effect …
Automated detection of COVID-19 cases using deep neural networks with X-ray images
T Ozturk, M Talo, EA Yildirim, UB Baloglu… - Computers in biology …, 2020 - Elsevier
Abstract The novel coronavirus 2019 (COVID-2019), which first appeared in Wuhan city of
China in December 2019, spread rapidly around the world and became a pandemic. It has …
China in December 2019, spread rapidly around the world and became a pandemic. It has …
Deep learning for smart Healthcare—A survey on brain tumor detection from medical imaging
M Arabahmadi, R Farahbakhsh, J Rezazadeh - Sensors, 2022 - mdpi.com
Advances in technology have been able to affect all aspects of human life. For example, the
use of technology in medicine has made significant contributions to human society. In this …
use of technology in medicine has made significant contributions to human society. In this …
Classification of COVID-19 patients from chest CT images using multi-objective differential evolution–based convolutional neural networks
Early classification of 2019 novel coronavirus disease (COVID-19) is essential for disease
cure and control. Compared with reverse-transcription polymerase chain reaction (RT-PCR) …
cure and control. Compared with reverse-transcription polymerase chain reaction (RT-PCR) …
[HTML][HTML] Introduction to machine learning, neural networks, and deep learning
RY Choi, AS Coyner… - … vision science & …, 2020 - iovs.arvojournals.org
Purpose: To present an overview of current machine learning methods and their use in
medical research, focusing on select machine learning techniques, best practices, and deep …
medical research, focusing on select machine learning techniques, best practices, and deep …