AIMC Topic: Deep Learning

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Automated classification of chondroid tumor using 3D U-Net and radiomics with deep features.

Scientific reports Jul 1, 2025
Classifying chondroid tumors is an essential step for effective treatment planning. Recently, with the advances in computer-aided diagnosis and the increasing availability of medical imaging data, automated tumor classification using deep learning sh...
Bone Neoplasms Chondroma Middle Aged Deep Learning Imaging, Three-Dimensional Humans Machine Learning Radiomics Male Tomography, X-Ray Computed Female Adult
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A genetic algorithm-based ensemble model for efficiently identifying interleukin 6 inducing peptides.

Scientific reports Jul 1, 2025
Interleukin-6 (IL-6) is a cytokine with diverse biological activities that contribute to a variety of physiologic and immune responses. IL-6-inducing peptides are the short protein fragments that are critical for playing a contributing role in biolog...
Computational Biology Humans Interleukin-6 Genetic Algorithms Peptides Machine Learning Deep Learning Algorithms
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Linker-GPT: design of Antibody-drug conjugates linkers with molecular generators and reinforcement learning.

Scientific reports Jul 1, 2025
The stability and therapeutic efficacy of antibody-drug conjugates (ADCs) are critically determined by the chemical linkers that connect the antibody to the cytotoxic payload, which is a key factor influencing drug release, plasma stability, and off-...
Humans Immunoconjugates Drug Design Deep Learning
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Deep-learning-based automated prediction of mouse seminiferous tubule stage by using bright-field microscopy.

Scientific reports Jul 1, 2025
Infertility is a global issue, and approximately 50% of cases are due to male factors, with defective spermatogenesis being the main one. For studies of spermatogenesis, evaluating the seminiferous tubule stage is essential. However, current evaluati...
Male Deep Learning Image Processing, Computer-Assisted Mice Seminiferous Tubules Microscopy Reproducibility of Results Spermatogenesis Animals
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Deep learning for smartphone-aided detection system of Helicobacter Pylori in gastric biopsy.

Scientific reports Jul 1, 2025
Helicobacter pylori (HP) have chronically infected more than half of the world's population and is a cause of chronic gastritis, peptic ulcers and gastric carcinoma. The manual detection of HP in a glass slide with a microscope is extremely time-cons...
Smartphone Biopsy Helicobacter Infections Algorithms Helicobacter pylori Stomach Diagnosis, Computer-Assisted Humans Deep Learning
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Deep learning model for hair artifact removal and Mpox skin lesion analysis and detection.

Scientific reports Jul 1, 2025
Accurate identification of Mpox is essential for timely diagnosis and treatment. However, traditional image-based diagnostic methods often struggle with challenges such as body hair obscuring skin lesions and complicating accurate assessment. To addr...
Hair Hair Removal Measles Image Processing, Computer-Assisted Skin Artifacts Dermoscopy Deep Learning Humans
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Deep learning based classification of tibio-femoral knee osteoarthritis from lateral view knee joint X-ray images.

Scientific reports Jul 1, 2025
Design an effective deep learning-driven method to locate and classify the tibio-femoral knee joint space width (JSW) with respect to both anterior-posterior (AP) and lateral views. Compare the results and see how successfully a deep learning approac...
Femur Osteoarthritis, Knee Knee Joint Tibia Humans Deep Learning Radiography
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A modified generative adversarial networks method for assisting the diagnosis of deep venous thrombosis complications in stroke patients.

Scientific reports Jul 1, 2025
Discriminate deep vein thrombosis, one of the complications in early stroke patients, in order to assist in diagnosis. We have constructed a new method called ACWGAN by combining ACGAN and WGAN methods for data augmentation to to enhance the data of ...
Humans Male Middle Aged Deep Learning Neural Networks, Computer Female Aged Generative Adversarial Networks Venous Thrombosis Stroke
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Schizophrenia detection from electroencephalogram signals using image encoding and wrapper-based deep feature selection approach.

Scientific reports Jul 1, 2025
Schizophrenia is a persistent and serious mental illness that leads to distortions in cognition, perception, emotions, speech, self-awareness, and actions. Affecting about 1% of people worldwide, schizophrenia usually emerges in late adolescence or e...
Signal Processing, Computer-Assisted Schizophrenia Brain Humans Male Machine Learning Female Deep Learning Adult Electroencephalography
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STIED: a deep learning model for the spatiotemporal detection of focal interictal epileptiform discharges with MEG.

Scientific reports Jul 1, 2025
Magnetoencephalography (MEG) allows the non-invasive detection of interictal epileptiform discharges (IEDs). Clinical MEG analysis in epileptic patients traditionally relies on the visual identification of IEDs, which is time consuming and partially ...
Humans Neural Networks, Computer Algorithms Deep Learning Epilepsies, Partial Magnetoencephalography Female Adult Male
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