AIMC Topic: Image Interpretation, Computer-Assisted

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Enhanced MRI brain tumor detection using deep learning in conjunction with explainable AI SHAP based diverse and multi feature analysis.

Scientific reports Aug 11, 2025
Recent innovations in medical imaging have markedly improved brain tumor identification, surpassing conventional diagnostic approaches that suffer from low resolution, radiation exposure, and limited contrast. Magnetic Resonance Imaging (MRI) is pivo...
Humans Neural Networks, Computer Algorithms Support Vector Machine Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Deep Learning Image Processing, Computer-Assisted Brain Neoplasms
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BCDCNN: breast cancer deep convolutional neural network for breast cancer detection using MRI images.

Scientific reports Aug 8, 2025
Breast cancer (BC) is a kind of cancer that is created from the cells in breast tissue. This is a primary cancer that occurs in women. Earlier identification of BC is significant in the treatment process. To lessen unwanted biopsies, Magnetic Resonan...
Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Female Breast Neoplasms Convolutional Neural Networks Image Processing, Computer-Assisted Deep Learning Humans Neural Networks, Computer Algorithms
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Multi-module UNet++ for colon cancer histopathological image segmentation.

Scientific reports Aug 7, 2025
In the pathological diagnosis of colorectal cancer, the precise segmentation of glandular and cellular contours serves as the fundamental basis for achieving accurate clinical diagnosis. However, this task presents significant challenges due to compl...
Algorithms Deep Learning Image Processing, Computer-Assisted Humans Colonic Neoplasms Image Interpretation, Computer-Assisted
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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...
Neuroimaging Male Alzheimer Disease Image Interpretation, Computer-Assisted Deep Learning Aged, 80 and over Imaging, Three-Dimensional Magnetic Resonance Imaging Brain Humans Female Cognitive Dysfunction Aged
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A brain tumor segmentation enhancement in MRI images using U-Net and transfer learning.

BMC medical imaging Jul 31, 2025
This paper presents a novel transfer learning approach for segmenting brain tumors in Magnetic Resonance Imaging (MRI) images. Using Fluid-Attenuated Inversion Recovery (FLAIR) abnormality segmentation masks and MRI scans from The Cancer Genome Atlas...
Machine Learning Brain Neoplasms Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Glioma Humans Neural Networks, Computer
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A successive framework for brain tumor interpretation using Yolo variants.

Scientific reports Jul 31, 2025
Accurate identification and segmentation of brain tumors in Magnetic Resonance Imaging (MRI) images are critical for timely diagnosis and treatment. MRI is frequently used to diagnose these disorders; however medical professionals find it challenging...
Algorithms Brain Neoplasms Image Processing, Computer-Assisted Humans Neural Networks, Computer Image Interpretation, Computer-Assisted Magnetic Resonance Imaging
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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 Female Humans Reproducibility of Results Image Processing, Computer-Assisted Neural Networks, Computer Breast Neoplasms
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Unveiling key pathomic features for automated diagnosis and Gleason grade estimation in prostate cancer.

BMC medical imaging Jul 28, 2025
BACKGROUND: Recent advances in histology scanning technology and Artificial Intelligence (AI) offer great opportunities to support cancer diagnosis. The inability to interpret the extracted features and model predictions is one of the major issues li...
Humans Machine Learning Prostatic Neoplasms Neoplasm Grading Male Image Interpretation, Computer-Assisted
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CVT-HNet: a fusion model for recognizing perianal fistulizing Crohn's disease based on CNN and ViT.

BMC medical imaging Jul 28, 2025
BACKGROUND: Accurate identification of anal fistulas is essential, as it directly impacts the severity of subsequent perianal infections, prognostic indicators, and overall treatment outcomes. Traditional manual recognition methods are inefficient. I...
Crohn Disease Image Interpretation, Computer-Assisted Rectal Fistula Humans Neural Networks, Computer
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Enhancing breast cancer classification using a deep sparse wavelet autoencoder approach.

Scientific reports Jul 19, 2025
As digital imaging technology advances, accurate classification of 2D breast cancer images becomes increasingly crucial for early detection and staging. This paper introduces a novel classification approach that integrates deep learning, sparse codin...
Image Processing, Computer-Assisted Female Wavelet Analysis Humans Breast Neoplasms Mammography Autoencoder Algorithms Image Interpretation, Computer-Assisted Deep Learning
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