AIMC Topic: Image Processing, Computer-Assisted

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K-Means Clustering and Classification of Breast Cancer Images Using Histogram of Oriented Gradients Features and Convolutional Neural Network Models: Diagnostic Image Analysis Study.

JMIR formative research Jul 29, 2025
BACKGROUND: Breast cancer has proven to be the most common type of cancer among females around the world. However, mortality rates can be reduced if it is diagnosed at the initial stages. Interpretation made by an expert is required by conventional d...
Cluster Analysis Mammography Image Interpretation, Computer-Assisted Convolutional Neural Networks Image Processing, Computer-Assisted Humans Neural Networks, Computer Reproducibility of Results Breast Neoplasms Female
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A new low-rank adaptation method for brain structure and metastasis segmentation via decoupled principal weight direction and magnitude.

Scientific reports Jul 28, 2025
Deep learning techniques have become pivotal in medical image segmentation, but their success often relies on large, manually annotated datasets, which are expensive and labor-intensive to obtain. Additionally, different segmentation tasks frequently...
Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Brain Brain Neoplasms Humans Algorithms
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Multi-modal classification of retinal disease based on convolutional neural network.

Biomedical physics & engineering express Jul 28, 2025
Retinal diseases such as age-related macular degeneration and diabetic retinopathy will lead to irreversible blindness without timely diagnosis and treatment. Optical coherence tomography (OCT) and optical coherence tomography angiography (OCTA) imag...
Retinal Diseases Deep Learning Retina Neural Networks, Computer Convolutional Neural Networks Macular Degeneration Humans Multimodal Imaging Image Processing, Computer-Assisted Algorithms Tomography, Optical Coherence Diabetic Retinopathy
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Hyperparameter tuned deep learning-driven medical image analysis for intracranial hemorrhage detection.

PloS one Jul 28, 2025
Intracranial haemorrhage (ICH) is a crucial medical emergency that entails prompt assessment and management. Compared to conventional clinical tests, the need for computerized medical assistance for properly recognizing brain haemorrhage from compute...
Humans Algorithms Deep Learning Image Processing, Computer-Assisted Intracranial Hemorrhages Tomography, X-Ray Computed
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AI-driven skin cancer detection from smartphone images: A hybrid model using ViT, adaptive thresholding, black-hat transformation, and XGBoost.

PloS one Jul 28, 2025
Skin cancer is a significant global public health issue, with millions of new cases identified each year. Recent breakthroughs in artificial intelligence, especially deep learning, possess considerable potential to enhance the accuracy and efficiency...
Melanoma Smartphone Skin Neoplasms Boosting Machine Learning Algorithms Male Keratosis, Seborrheic Middle Aged Artificial Intelligence Deep Learning Carcinoma, Basal Cell Algorithms Image Processing, Computer-Assisted Humans Female
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Optimization of deep learning models for inference in low resource environments.

Computers in biology and medicine Jul 26, 2025
Artificial Intelligence (AI), and particularly deep learning (DL), has shown great promise to revolutionize healthcare. However, clinical translation is often hindered by demanding hardware requirements. In this study, we assess the effectiveness of ...
Deep Learning Image Processing, Computer-Assisted Magnetic Resonance Imaging Humans Colorectal Neoplasms
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CLT-MambaSeg: An integrated model of Convolution, Linear Transformer and Multiscale Mamba for medical image segmentation.

Computers in biology and medicine Jul 26, 2025
Recent advances in deep learning have significantly enhanced the performance of medical image segmentation. However, maintaining a balanced integration of feature localization, global context modeling, and computational efficiency remains a critical ...
Image Processing, Computer-Assisted Algorithms Female Deep Learning Humans Neural Networks, Computer
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KC-UNIT: Multi-kernel conversion using unpaired image-to-image translation with perceptual guidance in chest computed tomography imaging.

Computers in biology and medicine Jul 26, 2025
Computed tomography (CT) images are reconstructed from raw datasets including sinogram using various convolution kernels through back projection. Kernels are typically chosen depending on the anatomical structure being imaged and the specific purpose...
Image Processing, Computer-Assisted Radiography, Thoracic Humans Tomography, X-Ray Computed Deep Learning Algorithms
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A hyperspectral imaging dataset and Grassmann manifold method for intraoperative pixel-wise classification of metastatic colon cancer in the liver.

Computers in biology and medicine Jul 25, 2025
Hyperspectral imaging (HSI) holds significant potential for transforming the field of computational pathology. However, the number of HSI-based research studies remains limited, and in many cases, the advantages of HSI over traditional RGB imaging ha...
Humans Databases, Factual Female Image Processing, Computer-Assisted Colonic Neoplasms Male Hyperspectral Imaging Liver Neoplasms
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Hybrid deep learning framework based on EfficientViT for classification of gastrointestinal diseases.

Scientific reports Jul 24, 2025
GI diseases are one of the leading causes of morbidity and mortality worldwide, and early and accurate diagnosis is considered to be very important. Traditional methods like endoscopy take time and depend majorly on the judgment of the physician. The...
Humans Algorithms Gastrointestinal Diseases Deep Learning Image Processing, Computer-Assisted
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