Oncology/Hematology

Deep-learning 2.5-dimensional single-shot detector improves the performance of automated detection of brain metastases on contrast-enhanced CT.

PURPOSE: This study aims to develop a 2.5-dimensional (2.5D) deep-learning, object detection model f...

Deep learning image reconstruction algorithm for abdominal multidetector CT at different tube voltages: assessment of image quality and radiation dose in a phantom study.

OBJECTIVES: To compare the image quality and radiation dose of a deep learning image reconstruction ...

Re: Lloyd P, Hong A, Furrer MA, et al. A comparative study of perioperative outcomes for 100 consecutive post-chemotherapy and primary robot assisted and open retroperitoneal lymph node dissections. World J Urol. 2021; DOI: 10.1007/s00345-021-03832-0.

High-strength deep learning image reconstruction in coronary CT angiography at 70-kVp tube voltage significantly improves image quality and reduces both radiation and contrast doses.

OBJECTIVES: To explore the use of 70-kVp tube voltage combined with high-strength deep learning imag...

Breast Cancer Classification from Ultrasound Images Using Probability-Based Optimal Deep Learning Feature Fusion.

After lung cancer, breast cancer is the second leading cause of death in women. If breast cancer is ...

Multi-channel convolutional neural network architectures for thyroid cancer detection.

Early detection of malignant thyroid nodules leading to patient-specific treatments can reduce morbi...

[Starting to integrate artificial intelligence for treatment decisions in oncology].

Robot-assisted versus video-assisted thoraco-laparoscopic McKeown's esophagectomy for esophageal cancer: a propensity score-matched analysis of minimally invasive approaches.

Minimally invasive esophagectomy for esophageal cancer decreases overall complication rate and leads...

A Hybrid CNN-GLCM Classifier For Detection And Grade Classification Of Brain Tumor.

A supervised CNN Deep net classifier is proposed for the detection, classification and diagnosis of ...

Insights into cell classification based on combination of multiple cellular mechanical phenotypes by using machine learning algorithm.

Although cellular elastic property (CEP, also known as cellular elastic modulus) has been frequently...

LeuFeatx: Deep learning-based feature extractor for the diagnosis of acute leukemia from microscopic images of peripheral blood smear.

The abnormal growth of leukocytes causes hematologic malignancies such as leukemia. The clinical ass...

Artificial intelligence: A promising frontier in bladder cancer diagnosis and outcome prediction.

Bladder cancer (BCa) is the most common malignancy of the urinary tract and the most expensive malig...

Blood cancer prediction using leukemia microarray gene data and hybrid logistic vector trees model.

Blood cancer has been a growing concern during the last decade and requires early diagnosis to start...

Light-driven carbon nitride microswimmers with propulsion in biological and ionic media and responsive on-demand drug delivery.

We propose two-dimensional poly(heptazine imide) (PHI) carbon nitride microparticles as light-driven...

A Clinical Decision Support System for Sleep Staging Tasks With Explanations From Artificial Intelligence: User-Centered Design and Evaluation Study.

BACKGROUND: Despite the unprecedented performance of deep learning algorithms in clinical domains, f...

Deep-learning and radiomics ensemble classifier for false positive reduction in brain metastases segmentation.

Stereotactic radiosurgery (SRS) is now the standard of care for brain metastases (BMs) patients. The...

Ultrasound Image-Guided Nerve Block Combined with General Anesthesia under an Artificial Intelligence Algorithm on Patients Undergoing Radical Gastrectomy for Gastric Cancer during and after Operation.

This study was aimed at investigating the location of gastric cancer by using a gastroscope image ba...

Deep Learning-Based Chest CT Image Features in Diagnosis of Lung Cancer.

This study was to evaluate the diagnostic value of deep learning-optimized chest CT in the patients ...

PCaGuard: A Software Platform to Support Optimal Management of Prostate Cancer.

BACKGROUND AND OBJECTIVE: Prostate cancer (PCa) is a severe public health issue and the most common ...

Big-Hypergraph Factorization Neural Network for Survival Prediction From Whole Slide Image.

Survival prediction for patients based on histopa- thological whole-slide images (WSIs) has attracte...

Deep learning classification of inverted papilloma malignant transformation using 3D convolutional neural networks and magnetic resonance imaging.

BACKGROUND: Distinguishing benign inverted papilloma (IP) tumors from those that have undergone mali...