Lymphoma

18F-FDG PET/CT Radiomics for Predicting Therapy Response in Primary Mediastinal B-Cell Lymphoma: A Bi-Centric Pilot Study.

PURPOSE: This bi-centric pilot study investigates the predictive value of pre-treatment [F]FDG PET/C...

Non-destructive detection of early wheat germination via deep learning-optimized terahertz imaging.

Wheat, a major global cereal crop, is prone to quality degradation from early sprouting when stored ...

Heterogeneous III-V/Si micro-ring laser array with multi-state non-volatile memory for ternary content-addressable memories.

In this work, we introduce programmable memory elements embedded within III-V/Si light sources which...

Integrative single-cell and cell-free plasma RNA transcriptomics identifies biomarkers for early non-invasive AD screening.

INTRODUCTION: Data-driven omics approaches have rapidly advanced our understanding of the molecular ...

Advances in Non-Thermal Processing of Meat and Monitoring Meat Protein Gels Through Vibrational Spectroscopy.

Meat is a vital source of high-quality proteins, amino acids, vitamins, and minerals essential for h...

Deep Learning-Assisted Microscopic Polarization Inspection of Micro-Nano Damage Precursors: Automatic, Non-Destructive Metrology for Additive Manufacturing Devices.

Additive Manufacturing (AM), as a revolutionary breakthrough in advanced manufacturing paradigms, le...

Non-invasive diagnosis of melanoma using machine learning and reflectance confocal microscopy.

CT-Based Radiomics for Predicting PD-L1 Expression in Non-small Cell Lung Cancer: A Systematic Review and Meta-analysis.

BACKGROUND AND PURPOSE: The efficacy of immunotherapy in non-small cell lung cancer (NSCLC) is intri...

Ultrasound image-based contrastive fusion non-invasive liver fibrosis staging algorithm.

OBJECTIVE: The diagnosis of liver fibrosis is usually based on histopathological examination of live...

Bi-modal ultrasound radiomics and habitat analysis enhanced the pre-operative prediction of axillary lymph node burden in patients with early-stage breast cancer.

OBJECTIVE: This study aimed to evaluate the value of habitat analysis based bi-modal ultrasound radi...

The Value of PET/CT-Based Radiomics in Predicting Adrenal Metastases in Patients with Cancer.

Differentiation of adrenal incidentalomas (AIs) remains a challenge in the oncological setting. The...

Multi-class classification of central and non-central geographic atrophy using Optical Coherence Tomography.

PURPOSE: To develop and validate deep learning (DL)-based models for classifying geographic atrophy ...

Large Scale MRI Collection and Segmentation of Cirrhotic Liver.

Liver cirrhosis represents the end stage of chronic liver disease, characterized by extensive fibros...

Automatic identification of Parkinsonism using clinical multi-contrast brain MRI: a large self-supervised vision foundation model strategy.

BACKGROUND: Valid non-invasive biomarkers for Parkinson's disease (PD) and Parkinson-plus syndrome (...

Multiple Instance Learning for the Detection of Lymph Node and Omental Metastases in Carcinoma of the Ovaries, Fallopian Tubes and Peritoneum.

: Surgical pathology of tubo-ovarian and peritoneal cancer carries a well-recognised diagnostic work...

Mechanisms and management of self-resolving lumbar disc herniation: bridging molecular pathways to non-surgical clinical success.

Spontaneous resorption of lumbar disk herniation (LDH) presents a promising avenue for the non-surgi...

Efficient field correction of low-cost particulate matter sensors using machine learning, mixed multiplicative/additive scaling and extended calibration inputs.

Particulate matter (PM) stands out as a highly perilous form of atmospheric pollution, posing signif...

YSFER-Tobacco: an effective model for detection of non-tobacco related materials in tobacco sorting process.

BACKGROUND: In the process of tobacco sorting, removing non-tobacco related materials (NTRMs) is cru...

Radiomics-Based Classification of Clear Cell Renal Cell Carcinoma ISUP Grade: A Machine Learning Approach with SHAP-Enhanced Explainability.

: Clear cell renal cell carcinoma (ccRCC) is the most common subtype of renal cancer, and its progno...

Computational Risk Stratification of Preclinical Alzheimer's in Younger Adults.

Alzheimer's disease (AD) is a progressive neurodegenerative disorder that often begins decades befo...

Large-scale examination of early-age sex differences in neurotypical toddlers and those with autism spectrum disorder or other developmental conditions.

Autism spectrum disorder (ASD) is clinically heterogeneous, with ongoing debates about phenotypic di...