AIMC Topic: Deep Learning

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UltraBones100k: A reliable automated labeling method and large-scale dataset for ultrasound-based bone surface extraction.

Computers in biology and medicine Jun 4, 2025
BACKGROUND: Ultrasound-based bone surface segmentation is crucial in computer-assisted orthopedic surgery. However, ultrasound images have limitations, including a low signal-to-noise ratio, acoustic shadowing, and speckle noise, which make interpret...
Image Processing, Computer-Assisted Bone and Bones Humans Databases, Factual Deep Learning Ultrasonography
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Vascular segmentation of functional ultrasound images using deep learning.

Computers in biology and medicine Jun 4, 2025
Segmentation of medical images is a fundamental task with numerous applications. While MRI, CT, and PET modalities have significantly benefited from deep learning segmentation techniques, more recent modalities, like functional ultrasound (fUS), have...
Brain Animals Image Processing, Computer-Assisted Rats Cerebrovascular Circulation Deep Learning Ultrasonography
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Preoperative Identification of Papillary Thyroid Carcinoma Subtypes and Lymph Node Metastasis via Deep Learning-Assisted Surface-Enhanced Raman Spectroscopy.

ACS nano Jun 4, 2025
Accurate preoperative diagnosis of papillary thyroid carcinoma (PTC) histological subtypes and lymph node metastasis is essential for formulating personalized treatment strategies. However, their preoperative diagnosis is challenged by the limited re...
Surface Properties Biopsy, Fine-Needle Spectrum Analysis, Raman Lymphatic Metastasis Thyroid Cancer, Papillary Humans Deep Learning Thyroid Neoplasms
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Amortized template matching of molecular conformations from cryoelectron microscopy images using simulation-based inference.

Proceedings of the National Academy of Sciences of the United States of America Jun 4, 2025
Characterizing the conformational ensemble of biomolecular systems is key to understand their functions. Cryoelectron microscopy (cryo-EM) captures two-dimensional snapshots of biomolecular ensembles, giving in principle access to thermodynamics. How...
Computer Simulation Deep Learning Image Processing, Computer-Assisted Neural Networks, Computer Molecular Conformation Models, Molecular Cryoelectron Microscopy Bayes Theorem
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Advancing blood cell detection and classification: performance evaluation of modern deep learning models.

BMC medical informatics and decision making Jun 4, 2025
The detection and classification of blood cells are important in diagnosing and monitoring a variety of blood-related illnesses, such as anemia, leukemia, and infection, all of which may cause significant mortality. Accurate blood cell identification...
Blood Cell Count Blood Cells Humans Deep Learning
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Deep learning model applied to real-time delineation of colorectal polyps.

BMC medical informatics and decision making Jun 4, 2025
BACKGROUND: Deep learning models have shown considerable potential to improve diagnostic accuracy across medical fields. Although YOLACT has demonstrated real-time detection and segmentation in non-medical datasets, its application in medical setting...
Image Interpretation, Computer-Assisted Humans Deep Learning Colonoscopy Colonic Polyps
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A hybrid GAN-based deep learning framework for thermogram-based breast cancer detection.

Scientific reports Jun 4, 2025
Breast cancer remains one of the most prevalent and life-threatening diseases among women worldwide, necessitating early and accurate detection methods. Traditional diagnostic approaches often face limitations in sensitivity and specificity, highligh...
Thermography Neural Networks, Computer Humans Algorithms Deep Learning Female Early Detection of Cancer Breast Neoplasms
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Deep learning based rapid X-ray fluorescence signal extraction and image reconstruction for preclinical benchtop X-ray fluorescence computed tomography applications.

Scientific reports Jun 4, 2025
Recent research advances have resulted in an experimental benchtop X-ray fluorescence computed tomography (XFCT) system that likely meets the imaging dose/scan time constraints for benchtop XFCT imaging of live mice injected with gold nanoparticles (...
Deep Learning Image Processing, Computer-Assisted Mice Gold Tomography, X-Ray Computed Animals Neural Networks, Computer Metal Nanoparticles Phantoms, Imaging
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Automated interpretation of cardiotocography using deep learning in a nationwide multicenter study.

Scientific reports Jun 4, 2025
Timely detection of abnormal cardiotocography (CTG) during labor plays a crucial role in enhancing fetal prognosis. Recent research has explored the use of deep learning for CTG interpretation, most studies rely on small, localized datasets or focus ...
Heart Rate, Fetal Female Deep Learning Cardiotocography Area Under Curve Humans ROC Curve Pregnancy
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Trajectory-Ordered Objectives for Self-Supervised Representation Learning of Temporal Healthcare Data Using Transformers: Model Development and Evaluation Study.

JMIR medical informatics Jun 4, 2025
BACKGROUND: The growing availability of electronic health records (EHRs) presents an opportunity to enhance patient care by uncovering hidden health risks and improving informed decisions through advanced deep learning methods. However, modeling EHR ...
Supervised Machine Learning Electronic Health Records Deep Learning Humans
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