Radiology

Latest AI and machine learning research in radiology for healthcare professionals.

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ENAS-B: Combining ENAS With Bayesian Optimization for Automatic Design of Optimal CNN Architectures for Breast Lesion Classification From Ultrasound Images.

Efficient Neural Architecture Search (ENAS) is a recent development in searching for optimal cell st...

Nov 2023 37981781
Large-scale pancreatic cancer detection via non-contrast CT and deep learning.

Pancreatic ductal adenocarcinoma (PDAC), the most deadly solid malignancy, is typically detected lat...

Nov 2023 37985692
Phase retrieval for X-ray differential phase contrast radiography with knowledge transfer learning from virtual differential absorption model.

Grating-based X-ray phase contrast radiography and computed tomography (CT) are promising modalities...

Nov 2023 37995534
An attention 3DUNET and visual geometry group-19 based deep neural network for brain tumor segmentation and classification from MRI.

There has been an abrupt increase in brain tumor (BT) related medical cases during the past ten year...

Nov 2023 37979152
PET/CT based cross-modal deep learning signature to predict occult nodal metastasis in lung cancer.

Occult nodal metastasis (ONM) plays a significant role in comprehensive treatments of non-small cell...

Nov 2023 37980411
Application of natural language processing to post-structuring of rectal cancer MRI reports.

AIM: To evaluate a natural language processing (NLP) system for extracting structured information fr...

Nov 2023 38042740
Prediction of therapeutic intensity level from automatic multiclass segmentation of traumatic brain injury lesions on CT-scans.

The prediction of the therapeutic intensity level (TIL) for severe traumatic brain injury (TBI) pati...

Nov 2023 37978266
Utilizing deep learning techniques to improve image quality and noise reduction in preclinical low-dose PET images in the sinogram domain.

BACKGROUND: Low-dose positron emission tomography (LD-PET) imaging is commonly employed in preclinic...

Nov 2023 37966121
Convolutional neural network-based kidney volume estimation from low-dose unenhanced computed tomography scans.

PURPOSE: Kidney volume is important in the management of renal diseases. Unfortunately, the currentl...

Nov 2023 37968580
Feasibility and limitations of deep learning-based coronary calcium scoring in PET-CT: a comparison with coronary calcium score CT.

OBJECTIVE: This study aimed to determine the feasibility and limitations of deep learning-based coro...

Nov 2023 37962596
Employing Atrous Pyramid Convolutional Deep Learning Approach for Detection to Diagnose Breast Cancer Tumors.

Breast cancer is among the most common diseases and one of the most common causes of death in the fe...

Nov 2023 38025486
An extended focused assessment with sonography in trauma ultrasound tissue-mimicking phantom for developing automated diagnostic technologies.

Medical imaging-based triage is critical for ensuring medical treatment is timely and prioritized. ...

Nov 2023 38033814
Study of multistep Dense U-Net-based automatic segmentation for head MRI scans.

BACKGROUND: Despite extensive efforts to obtain accurate segmentation of magnetic resonance imaging ...

Nov 2023 37956307
Deep learning catheter tip locations for photoacoustic-guided cardiac interventions.

SIGNIFICANCE: Interventional cardiac procedures often require ionizing radiation to guide cardiac ca...

Nov 2023 38076439
Utilizing deep learning via the 3D U-net neural network for the delineation of brain stroke lesions in MRI image.

The segmentation of acute stroke lesions plays a vital role in healthcare by assisting doctors in ma...

Nov 2023 37957203
The Progressive Veterinary Practice.

Veterinary practices must be forward-thinking to effectively serve today's pet owners and move into ...

Nov 2023 37951764
Liver fibrosis classification from ultrasound using machine learning: a systematic literature review.

PURPOSE: Liver biopsy was considered the gold standard for diagnosing liver fibrosis; however, with ...

Nov 2023 37950068
A narrative review of radiomics and deep learning advances in neuroblastoma: updates and challenges.

Neuroblastoma is an extremely heterogeneous tumor that commonly occurs in children. The diagnosis an...

Nov 2023 37945937
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