AIMC Topic: Deep Learning

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High-efficiency spatially guided learning network for lymphoblastic leukemia detection in bone marrow microscopy images.

Computers in biology and medicine Aug 2, 2025
Leukemia is a hematologic tumor that proliferates in bone marrow and seriously affects the survival of patients. Early and accurate diagnosis is crucial for effective leukemia treatment. Traditional diagnostic methods rely on experts' subjective anal...
Precursor Cell Lymphoblastic Leukemia-Lymphoma Algorithms Deep Learning Image Processing, Computer-Assisted Bone Marrow Humans Microscopy Image Interpretation, Computer-Assisted
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Automatic restoration and reconstruction of defective tooth based on deep learning technology.

BMC oral health Aug 2, 2025
BACKGROUND: Accurate restoration and reconstruction of tooth morphology are crucial in restorative dentistry, implantology, and forensic odontology. Traditional methods, like manual wax modeling and template-based computer-aided design (CAD), struggl...
Image Processing, Computer-Assisted Dental Restoration, Permanent Tooth Models, Dental Computer-Aided Design Deep Learning Imaging, Three-Dimensional Humans
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Transfer learning based deep architecture for lung cancer classification using CT image with pattern and entropy based feature set.

Scientific reports Aug 2, 2025
Early detection of lung cancer, which remains one of the leading causes of death worldwide, is important for improved prognosis, and CT scanning is an important diagnostic modality. Lung cancer classification according to CT scan is challenging since...
Deep Learning Image Processing, Computer-Assisted Lung Neoplasms Algorithms Tomography, X-Ray Computed Entropy Humans Neural Networks, Computer
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The dosimetric impacts of ct-based deep learning autocontouring algorithm for prostate cancer radiotherapy planning dosimetric accuracy of DirectORGANS.

BMC urology Aug 2, 2025
PURPOSE: In study, we aimed to dosimetrically evaluate the usability of a new generation autocontouring algorithm (DirectORGANS) that automatically identifies organs and contours them directly in the computed tomography (CT) simulator before creating...
Tomography, X-Ray Computed Male Deep Learning Humans Algorithms Radiotherapy Planning, Computer-Assisted Prostatic Neoplasms Radiotherapy Dosage Organs at Risk Radiometry
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A Decision Support System Based on multi-head convolutional and Recurrent Neural Networks for assisting physicians in diagnosing ADHD.

Computers in biology and medicine Aug 1, 2025
BACKGROUND: Attention-Deficit Hyperactivity Disorder (ADHD) is highly prevalent among children and adolescents. Traditional diagnostic methods are subjective and time-consuming, underscoring the need for more objective diagnostic tools. Electroenceph...
Male Deep Learning Adolescent Neural Networks, Computer Female Signal Processing, Computer-Assisted Attention Deficit Disorder with Hyperactivity Recurrent Neural Networks Child Decision Support Systems, Clinical Electroencephalography Humans
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Fluid-SegNet: Multi-dimensional loss-driven Y-Net with dilated convolutions for OCT B-scan fluid segmentation.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Jul 31, 2025
Optical Coherence Tomography (OCT) is a widely utilized imaging modality in clinical ophthalmology, particularly for retinal imaging. B-scan is a two-dimensional slice of the OCT volume. It enables high-resolution cross-sectional visualization of ret...
Humans Deep Learning Image Processing, Computer-Assisted Tomography, Optical Coherence Retina
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Enhanced stroke risk prediction in hypertensive patients through deep learning integration of imaging and clinical data.

BMC medical informatics and decision making Jul 31, 2025
BACKGROUND: Stroke is one of the leading causes of death and disability worldwide, with a significantly elevated incidence among individuals with hypertension. Conventional risk assessment methods primarily rely on a limited set of clinical parameter...
Risk Assessment Aged Humans Hypertension Deep Learning Male Female Stroke Ultrasonography Middle Aged Carotid Intima-Media Thickness
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Multimodal deep learning for allergenic proteins prediction.

BMC biology Jul 31, 2025
BACKGROUND: Accurate prediction of allergens is essential for identifying the sources of allergic reactions and preventing future exposure to harmful triggers; however, the limited performance of current prediction tools hinders their practical appli...
Epitopes Amino Acid Sequence Humans Allergens Deep Learning
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TA-SSM net: tri-directional attention and structured state-space model for enhanced MRI-Based diagnosis of Alzheimer's disease and mild cognitive impairment.

BMC medical imaging Jul 31, 2025
Early diagnosis of Alzheimer's disease (AD) and its precursor, mild cognitive impairment (MCI), is critical for effective prevention and treatment. Computer-aided diagnosis using magnetic resonance imaging (MRI) provides a cost-effective and objectiv...
Image Interpretation, Computer-Assisted Neuroimaging Imaging, Three-Dimensional Magnetic Resonance Imaging Aged Alzheimer Disease Aged, 80 and over Deep Learning Male Cognitive Dysfunction Humans Brain Female
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An explainable vision transformer with transfer learning based efficient drought stress identification.

Plant molecular biology Jul 31, 2025
Early detection of drought stress is critical for taking timely measures for reducing crop loss before the drought impact becomes irreversible. The subtle phenotypical and physiological changes in response to drought stress are captured by non-invasi...
Machine Learning Deep Learning Image Processing, Computer-Assisted Support Vector Machine Crops, Agricultural Stress, Physiological Solanum tuberosum Droughts
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