AIMC Topic: Image Interpretation, Computer-Assisted
Clear Filters Showing 2461 to 2470 of 2747 articles
Comprehensive analysis of clinical images contributions for melanoma classification using convolutional neural networks.
Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI)
May 1, 2024
BACKGROUND: Timely diagnosis plays a critical role in determining melanoma prognosis, prompting the development of deep learning models to aid clinicians. Questions persist regarding the efficacy of clinical images alone or in conjunction with dermos...
Evaluation of a Cascaded Deep Learning-based Algorithm for Prostate Lesion Detection at Biparametric MRI.
Radiology
May 1, 2024
Background Multiparametric MRI (mpMRI) improves prostate cancer (PCa) detection compared with systematic biopsy, but its interpretation is prone to interreader variation, which results in performance inconsistency. Artificial intelligence (AI) models...
Deep Learning-based Approach for Brainstem and Ventricular MR Planimetry: Application in Patients with Progressive Supranuclear Palsy.
Radiology. Artificial intelligence
May 1, 2024
Purpose To develop a fast and fully automated deep learning (DL)-based method for the MRI planimetric segmentation and measurement of the brainstem and ventricular structures most affected in patients with progressive supranuclear palsy (PSP). Materi...
Impact of Deep Learning Image Reconstruction Methods on MRI Throughput.
Radiology. Artificial intelligence
May 1, 2024
Purpose To evaluate the effect of implementing two distinct commercially available deep learning reconstruction (DLR) algorithms on the efficiency of MRI examinations conducted in real clinical practice within an outpatient setting at a large, multic...
Deep CNNs for glioma grading on conventional MRIs: Performance analysis, challenges, and future directions.
Mathematical biosciences and engineering : MBE
Mar 6, 2024
The increasing global incidence of glioma tumors has raised significant healthcare concerns due to their high mortality rates. Traditionally, tumor diagnosis relies on visual analysis of medical imaging and invasive biopsies for precise grading. As a...
A novel lightweight deep learning approach for simultaneous optic cup and optic disc segmentation in glaucoma detection.
Mathematical biosciences and engineering : MBE
Mar 4, 2024
Glaucoma is a chronic neurodegenerative disease that can result in irreversible vision loss if not treated in its early stages. The cup-to-disc ratio is a key criterion for glaucoma screening and diagnosis, and it is determined by dividing the area o...
Robust Visual Identification of Under-resourced Dermatological Diagnoses with Classifier-Steered Background Masking.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Jan 1, 2024
Collecting images of rare dermatological diseases for machine learning detection applications is a costly, laborious task. It is difficult to collect enough images of these diagnoses to avoid the risk of low accuracy "in the wild". One of the sources...
PathSAM: Enhancing Oral Cancer Detection with Advanced Segmentation and Explainability.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Jan 1, 2024
Building on the success of the Segment Anything Model (SAM) in image segmentation, "PathSAM: SAM for Pathological Images in Oral Cancer Detection" addresses the unique challenges associated with diagnosing oral cancer. Although SAM is versatile, its ...
Prediction of T Stage of Rectal Cancer After Neoadjuvant Therapy by Multi-Parameter Magnetic Resonance Radiomics Based on Machine Learning Algorithms.
Technology in cancer research & treatment
Jan 1, 2024
INTRODUCTION: Since the response of patients with rectal cancer (RC) to neoadjuvant therapy is highly variable, there is an urgent need to develop accurate methods to predict the post-treatment T (pT) stage. The purpose of this study was to evaluate ...
A Hybrid 2D Gaussian Filter and Deep Learning Approach with Visualization of Class Activation for Automatic Lung and Colon Cancer Diagnosis.
Technology in cancer research & treatment
Jan 1, 2024
Cancer is a significant public health issue due to its high prevalence and lethality, particularly lung and colon cancers, which account for over a quarter of all cancer cases. This study aims to enhance the detection rate of lung and colon cancer by...
Don't Miss the Future of Medicine
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.
Subscribe NowPopular Topics
- Machine Learning 30590
- Neural Networks, Computer 29493
- Algorithms 26532
- Deep Learning 26012
- Artificial Intelligence 24037
- Robotics 13284
- Image Processing, Computer-Assisted 9383
- Retrospective Studies 8938
- Magnetic Resonance Imaging 6073
- Reproducibility of Results 5538
- Tomography, X-Ray Computed 4680
- Support Vector Machine 4643
- Computational Biology 4190
- Brain 3989
- Computer Simulation 3857
Recent Journals
- Scientific reports 5367
- Sensors (Basel, Switzerland) 4794
- PloS one 3971
- Neural networks : the official journal of the International Neural Network Society 2927
- Computational intelligence and neuroscience 1931
- Computers in biology and medicine 1831
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 1686
- Studies in health technology and informatics 1278
- IEEE journal of biomedical and health informatics 1121
- Journal of chemical information and modeling 985
- Nature communications 889
- Computer methods and programs in biomedicine 863
- Bioinformatics (Oxford, England) 854
- Briefings in bioinformatics 849
- IEEE transactions on neural networks and learning systems 820