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   Articles with "transfer learning" as a keyword



Enhanced dose prediction for head and neck cancer artificial intelligence‐driven radiotherapy based on transfer learning with limited training data

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recommendations! Published in 2025 at "Journal of Applied Clinical Medical Physics"

DOI: 10.1002/acm2.70012

Abstract: Abstract Purpose Training deep learning dose prediction models for the latest cutting‐edge radiotherapy techniques, such as AI‐based nodal radiotherapy (AINRT) and Daily Adaptive AI‐based nodal radiotherapy (DA‐AINRT), is challenging due to limited data. This study… read more here.

Keywords: transfer learning; head neck; dose prediction; prediction ... See more keywords

Why is anatomy difficult to learn? The implications for undergraduate medical curricula.

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recommendations! 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.

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recommendations! 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

Transfer learning Bayesian optimization for competitor DNA molecule design for use in diagnostic assays

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recommendations! Published in 2024 at "Biotechnology and Bioengineering"

DOI: 10.1002/bit.28854

Abstract: With the rise in engineered biomolecular devices, there is an increased need for tailor‐made biological sequences. Often, many similar biological sequences need to be made for a specific application meaning numerous, sometimes prohibitively expensive, lab… read more here.

Keywords: transfer learning; use; bayesian optimization; optimization ... See more keywords

Interpretable‐AI‐Based Model Structural Transfer Learning to Accelerate Bioprocess Model Construction

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recommendations! Published in 2025 at "Biotechnology and Bioengineering"

DOI: 10.1002/bit.70026

Abstract: Determining accurate kinetic models for new biochemical systems is time‐intensive, requiring experimental data collection, model construction, validation, and discrimination. Traditional black‐box machine learning‐based transfer learning methods leverage prior knowledge but lack interpretability and physical insights.… read more here.

Keywords: structural transfer; model construction; transfer learning; model ... See more keywords

Parameter identification of fractional‐order model with transfer learning for aging lithium‐ion batteries

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recommendations! 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

Optimising brain age estimation through transfer learning: A suite of pre‐trained foundation models for improved performance and generalisability in a clinical setting

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recommendations! Published in 2024 at "Human Brain Mapping"

DOI: 10.1002/hbm.26625

Abstract: Estimated age from brain MRI data has emerged as a promising biomarker of neurological health. However, the absence of large, diverse, and clinically representative training datasets, along with the complexity of managing heterogeneous MRI data,… read more here.

Keywords: age; transfer learning; brain; brain age ... See more keywords

Detecting brain tumors using deep learning convolutional neural network with transfer learning approach

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recommendations! 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

Deep learning convolutional neural network ResNet101 and radiomic features accurately analyzes mpMRI imaging to predict MGMT promoter methylation status with transfer learning approach

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recommendations! Published in 2024 at "International Journal of Imaging Systems and Technology"

DOI: 10.1002/ima.23059

Abstract: Accurate brain tumor classification is crucial for enhancing the diagnosis, prognosis, and treatment of glioblastoma patients. We employed the ResNet101 deep learning method with transfer learning to analyze the 2021 Radiological Society of North America… read more here.

Keywords: deep learning; methylation; transfer learning; mgmt ... See more keywords

A Novel Transfer Learning Approach for Skin Cancer Classification on ISIC 2024 3D Total Body Photographs

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recommendations! Published in 2025 at "International Journal of Imaging Systems and Technology"

DOI: 10.1002/ima.70065

Abstract: Skin cancer, and melanoma in particular, is a significant public health issue in the modern era because of the exponential death rate. Previous research has used 2D data to detect skin cancer, and the present… read more here.

Keywords: cancer; transfer learning; cancer classification; model ... See more keywords

Advancing Efficient Brain Tumor Multi‐Class Classification: New Insights From the Vision Mamba Model in Transfer Learning

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recommendations! Published in 2024 at "International Journal of Imaging Systems and Technology"

DOI: 10.1002/ima.70177

Abstract: Early and accurate diagnosis of brain tumors is crucial for improving patient survival rates. However, the detection and classification of brain tumors are challenging due to their diverse types and complex morphological characteristics. This study… read more here.

Keywords: classification; transfer learning; brain; model ... See more keywords