Oncology/Hematology

Other Cancers

Latest AI and machine learning research in other cancers for healthcare professionals.

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From Slices to Sequences: Autoregressive Tracking Transformer for Cohesive and Consistent 3D Lymph Node Detection in CT Scans

Lymph node (LN) assessment is an essential task in the routine radiology workflow, providing valua...

Interactive Tumor Progression Modeling via Sketch-Based Image Editing

Accurately visualizing and editing tumor progression in medical imaging is crucial for diagnosis, ...

Predicting early recurrence of hepatocellular carcinoma after thermal ablation based on longitudinal MRI with a deep learning approach.

BACKGROUND: Accurate prediction of early recurrence (ER) is essential to improve the prognosis of pa...

Mar 2025 40110765
Semi-Supervised Learning for Dose Prediction in Targeted Radionuclide: A Synthetic Data Study

Targeted Radionuclide Therapy (TRT) is a modern strategy in radiation oncology that aims to admini...

PathoPainter: Augmenting Histopathology Segmentation via Tumor-aware Inpainting

Tumor segmentation plays a critical role in histopathology, but it requires costly, fine-grained i...

Periodontal Bone Loss Analysis via Keypoint Detection With Heuristic Post-Processing

Calculating percentage bone loss is a critical test for periodontal disease staging but is sometim...

PathSynergy: a deep learning model for predicting drug synergy in liver cancer.

Cancer is a major public health problem while liver cancer is the main cause of global cancer-relate...

Mar 2025 40273429
Revolutionizing Brain Tumor Detection Using Explainable AI in MRI Images.

Due to the complex structure of the brain, variations in tumor shapes and sizes, and the resemblance...

Mar 2025 39948696
Opportunistic Detection of Hepatocellular Carcinoma Using Noncontrast CT and Deep Learning Artificial Intelligence.

OBJECTIVE: Hepatocellular carcinoma (HCC) poses a heavy global disease burden; early diagnosis is cr...

Mar 2025 40044303
Predicting Neoplastic Polyp in Patients With Gallbladder Polyps Using Interpretable Machine Learning Models: Retrospective Cohort Study.

OBJECTIVE: Gallbladder polyps (GBPs) are increasingly prevalent, with the majority being benign; how...

Mar 2025 40052528
Leveraging Artificial Intelligence and Radiomics for Improved Nasopharyngeal Carcinoma Prognostication.

INTRODUCTION: Nasopharyngeal carcinoma (NPC) typically presents as advanced disease due to the lack ...

Mar 2025 40105394
Machine Learning-Based Glycolipid Metabolism Gene Signature Predicts Prognosis and Immune Landscape in Oesophageal Squamous Cell Carcinoma.

Using machine learning approaches, we developed and validated a novel prognostic model for oesophage...

Mar 2025 40119618
"No negatives needed": weakly-supervised regression for interpretable tumor detection in whole-slide histopathology images

Accurate tumor detection in digital pathology whole-slide images (WSIs) is crucial for cancer diag...

Validating the predictions of mathematical models describing tumor growth and treatment response

Despite advances in methods to interrogate tumor biology, the observational and population-based a...

Subclass Classification of Gliomas Using MRI Fusion Technique

Glioma, the prevalent primary brain tumor, exhibits diverse aggressiveness levels and prognoses. P...

Autonomous Vision-Guided Resection of Central Airway Obstruction

Existing tracheal tumor resection methods often lack the precision required for effective airway c...

Enhancing Hepatopathy Clinical Trial Efficiency: A Secure, Large Language Model-Powered Pre-Screening Pipeline

Background: Recruitment for cohorts involving complex liver diseases, such as hepatocellular carci...

FreeTumor: Large-Scale Generative Tumor Synthesis in Computed Tomography Images for Improving Tumor Recognition

Tumor is a leading cause of death worldwide, with an estimated 10 million deaths attributed to tum...

Interpretable Retinal Disease Prediction Using Biology-Informed Heterogeneous Graph Representations

Interpretability is crucial to enhance trust in machine learning models for medical diagnostics. H...

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