AIMC Topic: Deep Learning

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A deep learning model for classification of chondroid tumors on CT images.

BMC cancer Mar 28, 2025
BACKGROUND: Differentiating chondroid tumors is crucial for proper patient management. This study aimed to develop a deep learning model (DLM) for classifying enchondromas, atypical cartilaginous tumors (ACT), and high-grade chondrosarcomas using CT ...
Diagnosis, Differential Tomography, X-Ray Computed Female Aged Chondrosarcoma Humans Chondroma Middle Aged Retrospective Studies Deep Learning Bone Neoplasms Adult Male
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Fine-tuned deep learning models for early detection and classification of kidney conditions in CT imaging.

Scientific reports Mar 28, 2025
The kidney plays a vital role in maintaining homeostasis, but lifestyle factors and diseases can lead to kidney failures. Early detection of kidney disease is crucial for effective intervention, often challenging due to unnoticeable symptoms in the i...
Humans Neural Networks, Computer Early Diagnosis Kidney Neoplasms Image Processing, Computer-Assisted Tomography, X-Ray Computed Kidney Deep Learning Kidney Diseases
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A deep learning approach to remotely assessing essential tremor with handwritten images.

Scientific reports Mar 28, 2025
Essential tremor (ET) is the most prevalent movement disorder, with its incidence increasing with age, significantly impacting motor functions and quality of life. Traditional methods for assessing ET severity are often time-consuming, subjective, an...
Essential Tremor Severity of Illness Index Deep Learning Handwriting Male Middle Aged Humans Female Aged Aged, 80 and over
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Detection of cotton crops diseases using customized deep learning model.

Scientific reports Mar 28, 2025
The agricultural industry is experiencing revolutionary changes through the latest advances in artificial intelligence and deep learning-based technologies. These powerful tools are being used for a variety of tasks including crop yield estimation, c...
Gossypium Crops, Agricultural Plant Diseases Artificial Intelligence Algorithms Deep Learning Agriculture
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A hybrid long short-term memory-convolutional neural network multi-stream deep learning model with Convolutional Block Attention Module incorporated for monkeypox detection.

Science progress Mar 28, 2025
BackgroundMonkeypox (mpox) is a zoonotic infectious disease caused by the mpox virus and characterized by painful body lesions, fever, headaches, and exhaustion. Since the report of the first human case of mpox in Africa, there have been multiple out...
Mpox, Monkeypox Humans Animals Neural Networks, Computer Monkeypox virus Deep Learning Memory, Short-Term
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Deep Learning-Based Auto-Segmentation for Liver Yttrium-90 Selective Internal Radiation Therapy.

Technology in cancer research & treatment Mar 28, 2025
The aim was to evaluate a deep learning-based auto-segmentation method for liver delineation in Y-90 selective internal radiation therapy (SIRT). A deep learning (DL)-based liver segmentation model using the U-Net3D architecture was built. Auto-segme...
Image Processing, Computer-Assisted Humans Liver Algorithms Radiotherapy Planning, Computer-Assisted Yttrium Radioisotopes Deep Learning Tomography, X-Ray Computed Liver Neoplasms
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Electroencephalography Decoding with Conditional Identification Generator.

International journal of neural systems Mar 27, 2025
Decoding Electroencephalography (EEG) signals are extremely useful for advancing and understanding human-artificial intelligence (AI) interaction systems. Recent advancements in deep neural networks (DNNs) have demonstrated significant promise in thi...
Brain Humans Neural Networks, Computer Deep Learning Artificial Intelligence Electroencephalography
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Efficient annotation bootstrapping for cell identification in follicular lymphoma.

Computer methods and programs in biomedicine Mar 27, 2025
BACKGROUND AND OBJECTIVE: In the medical field of digital pathology, many tasks rely on visual assessments of tissue patterns or cells, presenting an opportunity to apply computer vision methods. However, acquiring a substantial number of annotations...
Deep Learning Image Processing, Computer-Assisted Lymphoma, Follicular Humans Algorithms
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Hybrid deep learning framework for diabetic retinopathy classification with optimized attention AlexNet.

Computers in biology and medicine Mar 27, 2025
Diabetic retinopathy (DR) is a chronic condition associated with diabetes that can lead to vision impairment and, if not addressed, may progress to irreversible blindness. Consequently, it is essential to detect pathological changes in the retina to ...
Humans Diabetic Retinopathy Image Interpretation, Computer-Assisted Deep Learning Convolutional Neural Networks Fundus Oculi
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Toward Accurate Deep Learning-Based Prediction of Ki67, ER, PR, and HER2 Status From H&E-Stained Breast Cancer Images.

Applied immunohistochemistry & molecular morphology : AIMM Mar 27, 2025
Despite improvements in machine learning algorithms applied to digital pathology, only moderate accuracy, to predict molecular information from histology alone, has been achieved so far. One of the obstacles is the lack of large data sets to properly...
Humans Female Immunohistochemistry Receptor, ErbB-2 Receptors, Estrogen Deep Learning Receptors, Progesterone Image Processing, Computer-Assisted Breast Neoplasms Ki-67 Antigen Staining and Labeling Biomarkers, Tumor
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