AIMC Topic: Image Interpretation, Computer-Assisted

Clear Filters Showing 431 to 440 of 2819 articles

Self-supervised learning on dual-sequence magnetic resonance imaging for automatic segmentation of nasopharyngeal carcinoma.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Nov 22, 2024
Automating the segmentation of nasopharyngeal carcinoma (NPC) is crucial for therapeutic procedures but presents challenges given the hurdles in amassing extensively annotated datasets. Although previous studies have applied self-supervised learning ...
Nasopharyngeal Neoplasms Supervised Machine Learning Humans Image Interpretation, Computer-Assisted Magnetic Resonance Imaging Nasopharyngeal Carcinoma
View on PubMed DOI

Automatic pituitary adenoma segmentation and identification of cavernous sinus invasion via multitask learning.

Clinical radiology Nov 21, 2024
AIM: This study aimed to develop a multitask deep learning model for pituitary macroadenoma (PMA) segmentation and identification of cavernous sinus (CS) invasion.
Cavernous Sinus Adenoma Aged Humans Neoplasm Invasiveness Adult Image Interpretation, Computer-Assisted Retrospective Studies Male Pituitary Neoplasms Middle Aged Female Deep Learning Magnetic Resonance Imaging
View on PubMed DOI

Automatic discrimination between neuroendocrine carcinomas and grade 3 neuroendocrine tumors by deep learning of H&E images.

Computers in biology and medicine Nov 21, 2024
Neuroendocrine neoplasms (NENs) arise from diffuse neuroendocrine cells and are categorized as either well-differentiated and less proliferative Neuroendocrine Tumors (NETs), divided into low (G1), middle (G2), and high grades (G3), or poorly differe...
Image Interpretation, Computer-Assisted Neuroendocrine Tumors Diagnosis, Differential Neoplasm Grading Carcinoma, Neuroendocrine Humans Deep Learning
View on PubMed DOI

Enhanced MobileNet for skin cancer image classification with fused spatial channel attention mechanism.

Scientific reports Nov 21, 2024
Skin Cancer, which leads to a large number of deaths annually, has been extensively considered as the most lethal tumor around the world. Accurate detection of skin cancer in its early stage can significantly raise the survival rate of patients and r...
Humans Algorithms Skin Neoplasms Neural Networks, Computer Machine Learning Image Interpretation, Computer-Assisted Dermoscopy Deep Learning Image Processing, Computer-Assisted
View on PubMed DOI

Computer-aided diagnosis of early-stage Retinopathy of Prematurity in neonatal fundus images using artificial intelligence.

Biomedical physics & engineering express Nov 21, 2024
Retinopathy of Prematurity (ROP) is a retinal disorder affecting preterm babies, which can lead to permanent blindness without treatment. Early-stage ROP diagnosis is vital in providing optimal therapy for the neonates. The proposed study predicts ea...
Infant, Newborn Diagnosis, Computer-Assisted ROC Curve Artificial Intelligence Machine Learning Algorithms Humans Fundus Oculi Neural Networks, Computer Retina Image Processing, Computer-Assisted Support Vector Machine Image Interpretation, Computer-Assisted Principal Component Analysis Retinopathy of Prematurity
View on PubMed DOI

Deep learning reconstruction for accelerated high-resolution upper abdominal MRI improves lesion detection without time penalty.

Diagnostic and interventional imaging Nov 19, 2024
PURPOSE: The purpose of this study was to compare a conventional T1-weighted volumetric interpolated breath-hold examination (VIBE) sequence with a DL-reconstructed accelerated high-resolution VIBE sequence (HR-VIBE) in terms of image quality, lesion...
Pancreas Spleen Breath Holding Lymph Nodes Magnetic Resonance Imaging Image Interpretation, Computer-Assisted Aged Aged, 80 and over Adult Deep Learning Abdomen Male Middle Aged Humans Prospective Studies Female
View on PubMed DOI

Multiclass classification of Alzheimer's disease prodromal stages using sequential feature embeddings and regularized multikernel support vector machine.

NeuroImage Nov 19, 2024
The detection of patients in the cognitive normal (CN), mild cognitive impairment (MCI), and Alzheimer's disease (AD) stages of neurodegeneration is crucial for early treatment interventions. However, the heterogeneity of MCI data samples poses a cha...
Positron-Emission Tomography Image Interpretation, Computer-Assisted Prodromal Symptoms Female Humans Cognitive Dysfunction Magnetic Resonance Imaging Aged Brain Support Vector Machine Alzheimer Disease Male
View on PubMed DOI

A Parkinson's disease-related nuclei segmentation network based on CNN-Transformer interleaved encoder with feature fusion.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Nov 19, 2024
Automatic segmentation of Parkinson's disease (PD) related deep gray matter (DGM) nuclei based on brain magnetic resonance imaging (MRI) is significant in assisting the diagnosis of PD. However, due to the degenerative-induced changes in appearance, ...
Gray Matter Image Processing, Computer-Assisted Parkinson Disease Magnetic Resonance Imaging Humans Image Interpretation, Computer-Assisted Neural Networks, Computer
View on PubMed DOI

Advancing dermoscopy through a synthetic hair benchmark dataset and deep learning-based hair removal.

Journal of biomedical optics Nov 19, 2024
SIGNIFICANCE: Early detection of melanoma is crucial for improving patient outcomes, and dermoscopy is a critical tool for this purpose. However, hair presence in dermoscopic images can obscure important features, complicating the diagnostic process....
Skin Neoplasms Dermoscopy Deep Learning Image Processing, Computer-Assisted Humans Neural Networks, Computer Melanoma Image Interpretation, Computer-Assisted Hair Hair Removal
View on PubMed DOI

Whole Slide Imaging, Artificial Intelligence, and Machine Learning in Pediatric and Perinatal Pathology: Current Status and Future Directions.

Pediatric and developmental pathology : the official journal of the Society for Pediatric Pathology and the Paediatric Pathology Society Nov 18, 2024
The integration of artificial intelligence (AI) into healthcare is becoming increasingly mainstream. Leveraging digital technologies, such as AI and deep learning, impacts researchers, clinicians, and industry due to promising performance and clinica...
Child Humans Image Processing, Computer-Assisted Artificial Intelligence Image Interpretation, Computer-Assisted Pediatrics Machine Learning Pathology, Clinical
View on PubMed DOI
Popular Topics
Recent Journals