Why is anatomy difficult to learn? The implications for undergraduate medical curricula.
Sign Up to like & getrecommendations! Published in 2021 at "Anatomical sciences education"
DOI: 10.1002/ase.2071
Abstract: The impact of the medical curricular reform on anatomy education has been inconclusive. A pervasive perception is that graduates do not possess sufficient level of anatomical knowledge for safe medical practice; however, the reason is… read more here.
Keywords: transfer learning; knowledge; anatomy; medical curricula ... See more keywords
A transfer learning approach for predictive modelling of bioprocesses using small data.
Sign Up to like & getrecommendations! Published in 2021 at "Biotechnology and bioengineering"
DOI: 10.1002/bit.27980
Abstract: Predictive modelling of new biochemical systems with small data is a great challenge. To fill this gap, transfer learning, a subdomain of machine learning that serves to transfer knowledge from a generalised model to a… read more here.
Keywords: transfer learning; small data; transfer; approach ... See more keywords
Parameter identification of fractional‐order model with transfer learning for aging lithium‐ion batteries
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Energy Research"
DOI: 10.1002/er.6614
Abstract: The aging of lithium‐ion batteries (LiBs) is inevitable during their operation owing to their irreversible side reactions. It is practical to capture only the dominant physicochemical processes with a physics‐based model for engineering applications, as… read more here.
Keywords: aging lithium; parameter identification; model; transfer learning ... See more keywords
Detecting brain tumors using deep learning convolutional neural network with transfer learning approach
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Imaging Systems and Technology"
DOI: 10.1002/ima.22641
Abstract: Accurate classification of brain tumor subtypes is important for prognosis and treatment. In this study, we optimized and applied non‐deep learning methods based on hand‐crafted features and deep learning methods based on transfer learning using… read more here.
Keywords: deep learning; classification; approach; transfer learning ... See more keywords
A hybrid adaptive approach for instance transfer learning with dynamic and imbalanced data
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.23055
Abstract: Machine learning has demonstrated success in clinical risk prediction modeling with complex electronic health record (EHR) data. However, the evolving nature of clinical practices can dynamically change the underlying data distribution over time, leading to… read more here.
Keywords: approach instance; transfer learning; adaptive approach; hybrid adaptive ... See more keywords
Digital Holographic Technique based Breast Cancer Detection using Transfer Learning Method.
Sign Up to like & getrecommendations! Published in 2023 at "Journal of biophotonics"
DOI: 10.1002/jbio.202200359
Abstract: The Digital Holographic technique is an interferometric method that provides comprehensive information on morphological traits such as cell layer thickness and shape as well as access to biophysical attributes of cells like refractive index, dry… read more here.
Keywords: technique based; digital holographic; transfer learning; holographic technique ... See more keywords
Transfer learning for data‐efficient abdominal muscle segmentation with convolutional neural networks
Sign Up to like & getrecommendations! Published in 2022 at "Medical Physics"
DOI: 10.1002/mp.15533
Abstract: Abstract Background Skeletal muscle segmentation is an important procedure for assessing sarcopenia, an emerging imaging biomarker of patient frailty. Data annotation remains the bottleneck for training deep learning auto‐segmentation models. Purpose There is a need… read more here.
Keywords: neural networks; muscle; convolutional neural; transfer learning ... See more keywords
Diagnosis of Alzheimer's Disease using Structure Highlighting Key Slice Stacking and Transfer Learning.
Sign Up to like & getrecommendations! Published in 2022 at "Medical physics"
DOI: 10.1002/mp.15888
Abstract: BACKGROUND In recent years, two-dimensional convolutional neural network (2D CNN) have been widely used in the diagnosis of Alzheimer's disease (AD) based on structural magnetic resonance imaging (sMRI). However, due to the lack of targeted… read more here.
Keywords: diagnosis; alzheimer disease; transfer learning; key slice ... See more keywords
Deep learning‐based cardiac cine segmentation: Transfer learning application to 7T ultrahigh‐field MRI
Sign Up to like & getrecommendations! Published in 2021 at "Magnetic Resonance in Medicine"
DOI: 10.1002/mrm.28822
Abstract: Artificial neural networks show promising performance in automatic segmentation of cardiac MRI. However, training requires large amounts of annotated data and generalization to different vendors, field strengths, sequence parameters, and pathologies is limited. Transfer learning… read more here.
Keywords: transfer learning; field; segmentation; deep learning ... See more keywords
Gender Identification in Social Media Using Transfer Learning
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DOI: 10.1007/978-3-030-49076-8_28
Abstract: Social networks have modified the way we communicate. It is now possible to talk to a large number of people we have never met. Knowing the traits of a person from what he/she writes has… read more here.
Keywords: social media; transfer learning; identification social; gender identification ... See more keywords
Experimental Study on Transfer Learning in Denoising Autoencoders for Speech Enhancement
Sign Up to like & getrecommendations! Published in 2020 at "Pattern Recognition"
DOI: 10.1007/978-3-030-49076-8_29
Abstract: The quality of speech signals is affected by a combination of background noise, reverberation, and other distortions in real-life environments. The processing of such signals presents important challenges for tasks such as voice or speaker… read more here.
Keywords: transfer learning; study transfer; experimental study; learning denoising ... See more keywords