AIMC Topic:
Image Interpretation, Computer-Assisted
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Real-time brain tumour diagnoses using a novel lightweight deep learning model.
Computers in biology and medicine
Jun 1, 2025
Brain tumours continue to be a primary cause of worldwide death, highlighting the critical need for effective and accurate diagnostic tools. This article presents MK-YOLOv8, an innovative lightweight deep learning framework developed for the real-tim...
DeepValve: The first automatic detection pipeline for the mitral valve in Cardiac Magnetic Resonance imaging.
Computers in biology and medicine
Jun 1, 2025
Mitral valve (MV) assessment is key to diagnosing valvular disease and to addressing its serious downstream complications. Cardiac magnetic resonance (CMR) has become an essential diagnostic tool in MV disease, offering detailed views of the valve st...
CellOMaps: A compact representation for robust classification of lung adenocarcinoma growth patterns.
Computers in biology and medicine
Jun 1, 2025
Lung adenocarcinoma (LUAD) is a morphologically heterogeneous disease, characterized by five primary histological growth patterns. The classification of such patterns is crucial due to their direct relation to prognosis but the high subjectivity and ...
Impact of artificial intelligence assisted lesion detection on radiologists' interpretation at multiparametric prostate MRI.
Clinical imaging
Jun 1, 2025
PURPOSE: To compare prostate cancer lesion detection using conventional and artificial intelligence (AI)-assisted image interpretation at multiparametric MRI (mpMRI).
Explainable deep stacking ensemble model for accurate and transparent brain tumor diagnosis.
Computers in biology and medicine
Jun 1, 2025
Early detection of brain tumors in MRI images is vital for improving treatment results. However, deep learning models face challenges like limited dataset diversity, class imbalance, and insufficient interpretability. Most studies rely on small, sing...
A Pilot Study on Deep Learning With Simplified Intravoxel Incoherent Motion Diffusion-Weighted MRI Parameters for Differentiating Hepatocellular Carcinoma From Other Common Liver Masses.
Topics in magnetic resonance imaging : TMRI
Jun 1, 2025
OBJECTIVES: To develop and evaluate a deep learning technique for the differentiation of hepatocellular carcinoma (HCC) using "simplified intravoxel incoherent motion (IVIM) parameters" derived from only 3 b-value images.
Middle Aged
Image Interpretation, Computer-Assisted
Humans
Diffusion Magnetic Resonance Imaging
Deep Learning
Retrospective Studies
Liver
Pilot Projects
Diagnosis, Differential
Adult
Female
Liver Neoplasms
Motion
Male
Reproducibility of Results
Carcinoma, Hepatocellular
Aged
Image Processing, Computer-Assisted
Deep Learning in Knee MRI: A Prospective Study to Enhance Efficiency, Diagnostic Confidence and Sustainability.
Academic radiology
Jun 1, 2025
RATIONALE AND OBJECTIVES: The objective of this study was to evaluate a combination of deep learning (DL)-reconstructed parallel acquisition technique (PAT) and simultaneous multislice (SMS) acceleration imaging in comparison to conventional knee ima...
Optimized multiple instance learning for brain tumor classification using weakly supervised contrastive learning.
Computers in biology and medicine
Jun 1, 2025
Brain tumors have a great impact on patients' quality of life and accurate histopathological classification of brain tumors is crucial for patients' prognosis. Multi-instance learning (MIL) has become the mainstream method for analyzing whole-slide i...
multiPI-TransBTS: A multi-path learning framework for brain tumor image segmentation based on multi-physical information.
Computers in biology and medicine
Jun 1, 2025
Brain Tumor Segmentation (BraTS) plays a critical role in clinical diagnosis, treatment planning, and monitoring the progression of brain tumors. However, due to the variability in tumor appearance, size, and intensity across different MRI modalities...
Mitosis detection and classification for breast cancer diagnosis: What we know and what is next.
Computers in biology and medicine
Jun 1, 2025
Breast cancer is the second most deadly malignancy in women, behind lung cancer. Despite significant improvements in medical research, breast cancer is still accurately diagnosed with histological analysis. During this procedure, pathologists examine...
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