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Showing 2143-2163 of 7,615 articles

NTR-Gaussian: Nighttime Dynamic Thermal Reconstruction with 4D Gaussian Splatting Based on Thermodynamics

Thermal infrared imaging offers the advantage of all-weather capability, enabling non-intrusive me...

Mar 2025 http://arxiv.org/abs/2503.03115v1

Spatiotemporal Variation Assessment and Improved Prediction Of Cyanobacteria Blooms in Lakes Using Improved Machine Learning Model Based on Multivariate Data.

Cyanobacterial blooms in shallow lakes pose a significant threat to aquatic ecosystems and public he...

Mar 2025 39775014

Identifying Lipid Metabolism-Related Therapeutic Targets and Diagnostic Markers for Lung Adenocarcinoma by Mendelian Randomization and Machine Learning Analysis.

BACKGROUND: Lipid metabolic disorders are emerging as a recognized influencing factors of lung adeno...

Mar 2025 40107973

Association of normalization, non-differentially expressed genes and data source with machine learning performance in intra-dataset or cross-dataset modelling of transcriptomic and clinical data

Cross-dataset testing is critical for examining machine learning (ML) model's performance. However...

Feb 2025 http://arxiv.org/abs/2502.18888v2

Doctor-in-the-Loop: An Explainable, Multi-View Deep Learning Framework for Predicting Pathological Response in Non-Small Cell Lung Cancer

Non-small cell lung cancer (NSCLC) remains a major global health challenge, with high post-surgica...

Feb 2025 http://arxiv.org/abs/2502.17503v1

Med-gte-hybrid: A contextual embedding transformer model for extracting actionable information from clinical texts

We introduce a novel contextual embedding model med-gte-hybrid that was derived from the gte-large...

Feb 2025 http://arxiv.org/abs/2502.15996v2

Rapid Parameter Inference with Uncertainty Quantification for a Radiological Plume Source Identification Problem

In the event of a nuclear accident, or the detonation of a radiological dispersal device, quickly ...

Feb 2025 http://arxiv.org/abs/2502.17492v1

[Exploration of the Predictive Value of Peripheral Blood-related Indicators for EGFR  Mutations and Prognosis in Non-small Cell Lung Cancer Using Machine Learning].

BACKGROUND: Epidermal growth factor receptor (EGFR) sensitive mutation is one of the effective targe...

Feb 2025 40114487

LIDDIA: Language-based Intelligent Drug Discovery Agent

Drug discovery is a long, expensive, and complex process, relying heavily on human medicinal chemi...

Feb 2025 http://arxiv.org/abs/2502.13959v1

ARTInp: CBCT-to-CT Image Inpainting and Image Translation in Radiotherapy

A key step in Adaptive Radiation Therapy (ART) workflows is the evaluation of the patient's anatom...

Feb 2025 http://arxiv.org/abs/2502.04898v1

LUND-PROBE -- LUND Prostate Radiotherapy Open Benchmarking and Evaluation dataset

Radiotherapy treatment for prostate cancer relies on computed tomography (CT) and/or magnetic reso...

Feb 2025 http://arxiv.org/abs/2502.04493v2

Gamma/hadron separation in the TAIGA experiment with neural network methods

In this work, the ability of rare VHE gamma ray selection with neural network methods is investiga...

Feb 2025 http://arxiv.org/abs/2502.01500v1

Deep Learning Model for Predicting Immunotherapy Response in Advanced Non-Small Cell Lung Cancer.

IMPORTANCE: Only a small fraction of patients with advanced non-small cell lung cancer (NSCLC) respo...

Feb 2025 39724105

Fine-Tuning Open-Source Large Language Models to Improve Their Performance on Radiation Oncology Tasks: A Feasibility Study to Investigate Their Potential Clinical Applications in Radiation Oncology

Background: The radiation oncology clinical practice involves many steps relying on the dynamic in...

Jan 2025 http://arxiv.org/abs/2501.17286v1

Oncology/Hematology

Browse Categories

NTR-Gaussian: Nighttime Dynamic Thermal Reconstruction with 4D Gaussian Splatting Based on Thermodynamics

Spatiotemporal Variation Assessment and Improved Prediction Of Cyanobacteria Blooms in Lakes Using Improved Machine Learning Model Based on Multivariate Data.

Identifying Lipid Metabolism-Related Therapeutic Targets and Diagnostic Markers for Lung Adenocarcinoma by Mendelian Randomization and Machine Learning Analysis.

Association of normalization, non-differentially expressed genes and data source with machine learning performance in intra-dataset or cross-dataset modelling of transcriptomic and clinical data

Doctor-in-the-Loop: An Explainable, Multi-View Deep Learning Framework for Predicting Pathological Response in Non-Small Cell Lung Cancer

Med-gte-hybrid: A contextual embedding transformer model for extracting actionable information from clinical texts

Rapid Parameter Inference with Uncertainty Quantification for a Radiological Plume Source Identification Problem

[Exploration of the Predictive Value of Peripheral Blood-related Indicators for EGFR  Mutations and Prognosis in Non-small Cell Lung Cancer Using Machine Learning].

LIDDIA: Language-based Intelligent Drug Discovery Agent

ARTInp: CBCT-to-CT Image Inpainting and Image Translation in Radiotherapy

LUND-PROBE -- LUND Prostate Radiotherapy Open Benchmarking and Evaluation dataset

Gamma/hadron separation in the TAIGA experiment with neural network methods

Deep Learning Model for Predicting Immunotherapy Response in Advanced Non-Small Cell Lung Cancer.

Fine-Tuning Open-Source Large Language Models to Improve Their Performance on Radiation Oncology Tasks: A Feasibility Study to Investigate Their Potential Clinical Applications in Radiation Oncology

Marker Track: Accurate Fiducial Marker Tracking for Evaluation of Residual Motions During Breath-Hold Radiotherapy

Synthetic CT image generation from CBCT: A Systematic Review

Beyond the Lungs: Extending the Field of View in Chest CT with Latent Diffusion Models

Multi-stage intermediate fusion for multimodal learning to classify non-small cell lung cancer subtypes from CT and PET

Deep Learning Based Segmentation of Blood Vessels from H&E Stained Oesophageal Adenocarcinoma Whole-Slide Images

Training-Aware Risk Control for Intensity Modulated Radiation Therapies Quality Assurance with Conformal Prediction

CellOMaps: A Compact Representation for Robust Classification of Lung Adenocarcinoma Growth Patterns

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