AIMC Topic:
Image Interpretation, Computer-Assisted

Clear Filters Showing 2291 to 2300 of 2747 articles

Enhancing nuclei segmentation in breast histopathology images using U-Net with backbone architectures.

Computers in biology and medicine Jul 1, 2025
Breast cancer remains a leading cause of mortality among women worldwide, underscoring the need for accurate and timely diagnostic methods. Precise segmentation of nuclei in breast histopathology images is crucial for effective diagnosis and prognosi...
Image Processing, Computer-Assisted Female Breast Breast Neoplasms Deep Learning Humans Cell Nucleus Image Interpretation, Computer-Assisted Neural Networks, Computer
View on PubMed DOI

A cluster attention-based multiple instance learning network for enhancing histopathological image interpretation.

Computers in biology and medicine Jul 1, 2025
BACKGROUND: Histopathological diagnosis involves examining abnormal architectural patterns and cellular-level changes. Whole slide images (WSIs) provide comprehensive digital representations of tissue samples, enabling detailed analysis and interpret...
Cluster Analysis Image Interpretation, Computer-Assisted Multiple-Instance Learning Algorithms Humans Machine Learning Neoplasms
View on PubMed DOI

Deep pixel-wise supervision for skin lesion classification.

Computers in biology and medicine Jul 1, 2025
BACKGROUND: Utilizing automated systems for diagnosing malignant skin lesions promises to improve the early detection of skin diseases and increase patients' survival rates. However, current classification methods primarily focus on global features, ...
Image Processing, Computer-Assisted Image Interpretation, Computer-Assisted Humans Databases, Factual Algorithms Skin Neoplasms Deep Learning
View on PubMed DOI

AttriMIL: Revisiting attention-based multiple instance learning for whole-slide pathological image classification from a perspective of instance attributes.

Medical image analysis Jul 1, 2025
Multiple instance learning (MIL) is a powerful approach for whole-slide pathological image (WSI) analysis, particularly suited for processing gigapixel-resolution images with slide-level labels. Recent attention-based MIL architectures have significa...
Image Interpretation, Computer-Assisted Multiple-Instance Learning Algorithms Humans Machine Learning Algorithms
View on PubMed DOI

Assessment of biventricular cardiac function using free-breathing artificial intelligence cine with motion correction: Comparison with standard multiple breath-holding cine.

European journal of radiology Jul 1, 2025
PURPOSE: To assess the image quality and biventricular function utilizing a free-breathing artificial intelligence cine method with motion correction (FB AI MOCO).
Artificial Intelligence Prospective Studies Humans Magnetic Resonance Imaging, Cine Middle Aged Motion Male Artifacts Breath Holding Image Interpretation, Computer-Assisted Adult Sensitivity and Specificity Female Cross-Sectional Studies Reproducibility of Results
View on PubMed DOI

SegQC: a segmentation network-based framework for multi-metric segmentation quality control and segmentation error detection in volumetric medical images.

Medical image analysis Jul 1, 2025
Quality control (QC) of structures segmentation in volumetric medical images is important for identifying segmentation errors in clinical practice and for facilitating model development by enhancing network performance in semi-supervised and active l...
Image Interpretation, Computer-Assisted Prenatal Diagnosis Placenta Quality Control Pregnancy Female Imaging, Three-Dimensional Magnetic Resonance Imaging Deep Learning Neural Networks, Computer Algorithms Brain Humans
View on PubMed DOI

AdaptFRCNet: Semi-supervised adaptation of pre-trained model with frequency and region consistency for medical image segmentation.

Medical image analysis Jul 1, 2025
Recently, large pre-trained models (LPM) have achieved great success, which provides rich feature representation for downstream tasks. Pre-training and then fine-tuning is an effective way to utilize LPM. However, the application of LPM in the medica...
Humans Supervised Machine Learning Image Interpretation, Computer-Assisted Image Processing, Computer-Assisted Magnetic Resonance Imaging Algorithms
View on PubMed DOI

Exploring multi-instance learning in whole slide imaging: Current and future perspectives.

Pathology, research and practice Jul 1, 2025
Whole slide images (WSI), due to their gigabyte-scale size and ultra-high resolution, play a significant role in diagnostic pathology. However, the enormous data size makes it difficult to directly input these images into image processing units (GPU)...
Humans Image Processing, Computer-Assisted Image Interpretation, Computer-Assisted Machine Learning Algorithms
View on PubMed DOI

Error correcting 2D-3D cascaded network for myocardial infarct scar segmentation on late gadolinium enhancement cardiac magnetic resonance images.

Medical image analysis Jul 1, 2025
Late gadolinium enhancement (LGE) cardiac magnetic resonance (CMR) imaging is considered the in vivo reference standard for assessing infarct size (IS) and microvascular obstruction (MVO) in ST-elevation myocardial infarction (STEMI) patients. Howeve...
Myocardial Infarction Image Interpretation, Computer-Assisted Gadolinium Cicatrix ST Elevation Myocardial Infarction Neural Networks, Computer Image Enhancement Humans Algorithms Imaging, Three-Dimensional Contrast Media Magnetic Resonance Imaging
View on PubMed DOI

CausalMixNet: A mixed-attention framework for causal intervention in robust medical image diagnosis.

Medical image analysis Jul 1, 2025
Confounding factors inherent in medical images can significantly impact the causal exploration capabilities of deep learning models, resulting in compromised accuracy and diminished generalization performance. In this paper, we present an innovative ...
Female Deep Learning Image Interpretation, Computer-Assisted Humans Algorithms
View on PubMed DOI
Popular Topics
Recent Journals