Results 91 to 100 of about 18,103 (291)

A Foundation Model Based CT Biomarker for Non‐Invasive Prediction of Response to Neoadjuvant Immunochemotherapy in Non‐Small Cell Lung Cancer

open access: yesAdvanced Science, EarlyView.
This study introduces a foundation model‐based biomarker for risk stratification of pathological response in non‐small cell lung cancer. A Vision Mamba super‐resolution model standardizes heterogeneous CT images. A multi‐task Swin Transformer then fine‐tunes a pre‐trained lung foundation model to jointly optimize tumor segmentation and response ...
Yanglan Xu   +10 more
wiley   +1 more source

Radiologic Findings of Intraosseous Lipoma of Long Bones

open access: yes대한영상의학회지, 2016
Purpose To investigate radiologic findings of intraosseous lipoma on plain radiograph and magnetic resonance imaging (MRI). Materials and Methods Twenty-seven radiologically or pathologically confirmed intraosseous lipomas of long bones were ...
Ju Won Kim   +5 more
doaj   +1 more source

Advances in Cancer Immunotherapy for Solid Tumors

open access: yesAdvanced Science, EarlyView.
Cancer immunotherapy for solid tumors is rapidly evolving beyond classical checkpoint blockade toward more precise strategies. Emerging checkpoint targets, bispecific antibodies, antibody–drug conjugate combinations, personalized vaccines, cellular therapies, and engineered cytokines are expanding therapeutic possibilities, while biomarker‐guided ...
Shira Gabizon‐Peretz   +1 more
wiley   +1 more source

Additional Dose Reduction Potential of Vendor-Agnostic Deep Learning Model: A Phantom Study

open access: yesJournal of the Korean Society of Radiology
Purpose To evaluate the additional dose reduction potential (DRP) of a vendor-agnostic deep learning model (DLM, ClariCT.AI) applied to iterative reconstruction (IR) methods from two CT vendors.
Jisu Kim   +7 more
doaj   +1 more source

Radiographic image enhancement. Part I: spatial domain techniques

open access: yesDentomaxillofacial Radiology, 2001
Abstract Digital image enhancement techniques provide a multitude of choices for improving the visual quality of diagnostic images. Appropriate choice of such techniques is greatly influenced by the imaging modality, task at hand and viewing conditions. This sequence of two articles will provide an overview of underlying concepts, along with algorithms
openaire   +2 more sources

Single‐Cell Reveal GALNT7‐Dependent Ferroptosis Suppression as a Mechanism of Immunotherapy Resistance in Non‐Small Cell Lung Cancer

open access: yesAdvanced Science, EarlyView.
Integrated clinical and mechanistic analyses identify GALNT7 as a ferroptosis‐suppressive regulator associated with immunotherapy resistance in non‐small cell lung cancer. GALNT7 depletion promotes lipid peroxidation, mitochondrial dysfunction, and ferroptosis, enhances CD8+ T‐cell activation and IFN‐γ production, and sensitizes tumors to PD‐1 blockade,
Jiadi Gan   +11 more
wiley   +1 more source

DIGITAL PROCESSING FOR FLUOROSCOPY-BASED INTERVERTEBRAL KINEMATIC ANALYSIS

open access: yes, 2011
Spinal degenerations can lead to segmental instability that is regarded as a major cause of back pain and is often an important factor in deciding on surgical fusion or prosthesis implant.
Cerciello, Tommaso
core  

Easy method to measure angular knee deformities

open access: yesArchivo Médico de Camagüey, 2019
Background: knee angular deformities are common in patients suffering from osteoarthritis. There are many clinic and radiographic methods to measure knee deformities, each one has its own features.
Tuan Nguyen-Pham   +3 more
doaj  

Performance Of Compound Enhancement Algorithms On Dental Radiograph Images

open access: yes, 2011
The purpose of this research is to compare the original intra-oral digital dental radiograph images with images that are enhanced using a combination of image processing algorithms. Intraoral digital dental radiograph images are often noisy, blur edges and low in contrast.
S.A.Ahmad   +4 more
openaire   +1 more source

Chest radiograph image enhancement with wavelet decomposition and morphological operations

open access: yesTELKOMNIKA (Telecommunication Computing Electronics and Control), 2019
Medical image processing algorithms significantly affect the precision of disease diagnostic process. This makes it crucial to improve the quality of a medical image with the goal to enhance perceivability of the points of interest in order to obtain accurate diagnosis of a patient.  Despite the reliance of various medical diagnostics on utilize X-rays,
Anthony Y. Aidoo   +2 more
openaire   +2 more sources

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