BMC Medical Imaging is an open access journal publishing original peer-reviewed research articles in the development, evaluation, and use of imaging techniques and image processing tools to diagnose and manage disease.

BMC Medical Imaging is an open access journal publishing original peer-reviewed research articles in the development, evaluation, and use of imaging techniques and image processing tools to diagnose and manage disease.

5 days ago · Image quality improvement in head and neck angiography based on dual-energy CT and deep learning. Compare the image quality of image reconstructed using deep learning-based image reconstruction (DLIR) and iterative reconstruction algorithms for head and neck dual-energy CT angiography (DECTA).

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BMC Medical Imaging is an open access journal publishing original peer-reviewed research articles in the development, evaluation, and use of imaging techniques and image processing tools to diagnose and manage disease.

In order for all figures to be open access, authors must have permission from the rights holder if they wish to include images that have been published elsewhere in non open access journals. Permission should be indicated in the figure legend, and the original source included in …

Citation Impact 2023 Journal Impact Factor: 2.9 5-year Journal Impact Factor: 2.8 Source Normalized Impact per Paper (SNIP): 1.157 SCImago Journal Rank (SJR): 0.701

Jan 3, 2025 · In this study, we propose a novel transfer learning-based approach called MobLG-Net for feature engineering purposes. Initially, the spatial features are extracted from bone X-ray images using a transfer model, MobileNet, and then input into a tree-based light gradient boosting machine (LGBM) model for the generation of class probability features.

Sep 5, 2024 · Medical image fusion technology produces clearer and more detailed images by fusing medical image features from different modalities, providing more comprehensive and accurate information to assist doctors in analysis and decision-making and improving diagnostic efficiency and accuracy.

Jan 23, 2025 · In this study, a novel convolutional neural network model with bimodal layer-wise feature fusion module (BLFFM) and temporal hybrid attention module (THAM) is proposed, which uses multistage bimodal ultrasound images as input for early prediction of the efficacy of neoadjuvant chemotherapy in locally advanced breast cancer (LABC) patients.