AIMC Topic: Deep Learning

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Automated deep learning-based assessment of tumour-infiltrating lymphocyte density determines prognosis in colorectal cancer.

Journal of translational medicine Mar 10, 2025
BACKGROUND: The presence of tumour-infiltrating lymphocytes (TILs) is a well-established prognostic biomarker across multiple cancer types, with higher TIL counts being associated with lower recurrence rates and improved patient survival. We aimed to...
Automation Multivariate Analysis Lymphocytes, Tumor-Infiltrating Disease-Free Survival Female Colorectal Neoplasms Aged Male Humans Middle Aged Prognosis Deep Learning
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Dual-branch dynamic hierarchical U-Net with multi-layer space fusion attention for medical image segmentation.

Scientific reports Mar 10, 2025
Accurate segmentation of organs or lesions from medical images is essential for accurate disease diagnosis and organ morphometrics. Previously, most researchers mainly added feature extraction modules and simply aggregated the semantic features to U-...
Image Processing, Computer-Assisted Semantics Algorithms Humans Deep Learning Neural Networks, Computer
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Accuracy of deep learning models in the detection of accessory ostium in coronal cone beam computed tomographic images.

Scientific reports Mar 10, 2025
Accessory ostium [AO] is one of the important anatomical variations in the maxillary sinus. AO is often associated with sinus pathology. Radiographic imaging plays a very important role in the detection of AO. Deep learning models have been used in m...
Cone-Beam Computed Tomography Image Processing, Computer-Assisted Maxillary Sinus Humans Deep Learning
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Leveraging large language models for knowledge-free weak supervision in clinical natural language processing.

Scientific reports Mar 10, 2025
The performance of deep learning-based natural language processing systems is based on large amounts of labeled training data which, in the clinical domain, are not easily available or affordable. Weak supervision and in-context learning offer partia...
Humans Natural Language Processing Large Language Models Language Deep Learning
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Pixel level deep reinforcement learning for accurate and robust medical image segmentation.

Scientific reports Mar 10, 2025
Existing deep learning methods have achieved significant success in medical image segmentation. However, this success largely relies on stacking advanced modules and architectures, which has created a path dependency. This path dependency is unsustai...
Reinforcement Machine Learning Humans Algorithms Deep Learning Image Processing, Computer-Assisted
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A multi-dilated convolution network for speech emotion recognition.

Scientific reports Mar 10, 2025
Speech emotion recognition (SER) is an important application in Affective Computing and Artificial Intelligence. Recently, there has been a significant interest in Deep Neural Networks using speech spectrograms. As the two-dimensional representation ...
Deep Learning Speech Emotions Neural Networks, Computer Algorithms Humans
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Vision Mamba and xLSTM-UNet for medical image segmentation.

Scientific reports Mar 10, 2025
Deep learning-based medical image segmentation methods are generally divided into convolutional neural networks (CNNs) and Transformer-based models. Traditional CNNs are limited by their receptive field, making it challenging to capture long-range de...
Deep Learning Image Processing, Computer-Assisted Neural Networks, Computer Algorithms Humans
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Self-supervised U-transformer network with mask reconstruction for metal artifact reduction.

Physics in medicine and biology Mar 10, 2025
. Metal artifacts severely damaged human tissue information from the computed tomography (CT) image, posing significant challenges to disease diagnosis. Deep learning has been widely explored for the metal artifact reduction (MAR) task. Nevertheless,...
Deep Learning Metals Humans Tomography, X-Ray Computed Artifacts Image Processing, Computer-Assisted Supervised Machine Learning
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A deep learning model for inter-fraction head and neck anatomical changes in proton therapy.

Physics in medicine and biology Mar 10, 2025
To assess the performance of a probabilistic deep learning based algorithm for predicting inter-fraction anatomical changes in head and neck patients.A probabilistic daily anatomy model (DAM) for head and neck patients DAM (DAM) is built on the varia...
Proton Therapy Radiotherapy Planning, Computer-Assisted Dose Fractionation, Radiation Tomography, X-Ray Computed Humans Deep Learning Image Processing, Computer-Assisted Head and Neck Neoplasms
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Validation of patient-specific deep learning markerless lung tumor tracking aided by 4DCBCT.

Physics in medicine and biology Mar 10, 2025
. Tracking tumors with multi-leaf collimators and x-ray imaging can be a cost-effective motion management method to reduce internal target volume margins for lung cancer patients, sparing normal tissues while ensuring target coverage. To realize that...
Humans Image Processing, Computer-Assisted Lung Neoplasms Four-Dimensional Computed Tomography Deep Learning Cone-Beam Computed Tomography
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