Cardiovascular

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

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Dual-domain fusion deep convolutional neural network for low-dose CT denoising.

BACKGROUND: In view of the underlying health risks posed by X-ray radiation, the main goal of the pr...

Jan 2023 37212059
Artificial intelligence 101 for veterinary diagnostic imaging.

The prevalence and pervasiveness of artificial intelligence (AI) with medical images in veterinary a...

Dec 2022 36514230
Instantaneous photosynthetically available radiation models for ocean waters using neural networks.

Instantaneous photosynthetically available radiation (IPAR) at the ocean surface and its vertical pr...

(2)
Nov 2022 36606831
Technological advances in body CT: a primer for beginners.

Many technological advances have entered the clinical routine of Computed Tomography (CT) imaging. T...

(2)
Nov 2022 36394741
Deep Learning vs Traditional Breast Cancer Risk Models to Support Risk-Based Mammography Screening.

BACKGROUND: Deep learning breast cancer risk models demonstrate improved accuracy compared with trad...

Oct 2022 35876790
Artificial Intelligence for Image Registration in Radiation Oncology.

Automatic image registration plays an important role in many aspects of the radiation oncology workf...

(2)
Oct 2022 36202436
Quality Assurance for AI-Based Applications in Radiation Therapy.

Recent advancements in artificial intelligence (AI) in the domain of radiation therapy (RT) and thei...

Oct 2022 36202444
Ethical Aspects of Artificial Intelligence in Radiation Oncology.

Radiation oncology is a field that heavily relies on new technology. Data science and artificial int...

(1)
Oct 2022 36202446
A spatial attention guided deep learning system for prediction of pathological complete response using breast cancer histopathology images.

MOTIVATION: Predicting pathological complete response (pCR) to neoadjuvant chemotherapy (NAC) in tri...

Sep 2022 35962988
Complex dynamics in a Hopfield neural network under electromagnetic induction and electromagnetic radiation.

Due to the potential difference between two neurons and that between the inner and outer membranes o...

Jul 2022 35907721
A Cascaded Deep Learning Framework for Segmentation of Nuclei in Digital Histology Images.

Accurate segmentation of nuclei is an essential step in analysis of digital histology images for dia...

Jul 2022 36086360
Bilateral Analysis Boosts the Performance of Mammography-based Deep Learning Models in Breast Cancer Risk Prediction.

Breast cancer is one of the leading causes of death among women. Early prediction of breast cancer c...

Jul 2022 36086431
Deep learning methods for lesion detection on mammography images: a comparative analysis.

Automatic lesion segmentation in mammography images assists in the diagnosis of breast cancer, which...

Jul 2022 36086472
Deep Learning Methods for Detecting Side Effects of Cancer Chemotherapies Reported in a Remote Monitoring Web Application.

The objective of our work was to develop deep learning methods for extracting and normalizing patien...

(2)
May 2022 35612235
Predictors of Toxicity Among Older Adults with Cancer.

An increasing number of cancer patients are of advanced age as the incidence of cancer increases wit...

Apr 2022 35307121
Novel Imaging Biomarkers to Assess Oncologic Treatment-Related Changes.

Cancer therapeutics cause various treatment-related changes that may impact patient follow-up and di...

Apr 2022 35671432
Prediction of seroma after total mastectomy using an artificial neural network algorithm.

Seroma is a common complication after mastectomy. To the best of our knowledge, no prediction models...

(2)
Jan 2022 34250921
De novo Prediction of Cell-Drug Sensitivities Using Deep Learning-based Graph Regularized Matrix Factorization.

Application of artificial intelligence (AI) in precision oncology typically involves predicting whet...

Jan 2022 34890156
Detection and Weak Segmentation of Masses in Gray-Scale Breast Mammogram Images Using Deep Learning.

PURPOSE: In this paper, we propose deep-learning methodology with which to enhance the mass differen...

Jan 2022 35040607
HER2-ResNet: A HER2 classification method based on deep residual network.

BACKGROUND: HER2 gene expression is one of the main reference indicators for breast cancer detection...

Jan 2022 35124598
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