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Showing 5776-5796 of 7,005 articles

A Serial MRI-based Deep Learning Model to Predict Survival in Patients with Locoregionally Advanced Nasopharyngeal Carcinoma.

Purpose To develop and evaluate a deep learning-based prognostic model for predicting survival in lo...

Feb 2025 39812582

Classification and Pixel Change Detection of Brain Tumor Using Adam Kookaburra Optimization-Based Shepard Convolutional Neural Network.

The uncommon growth of cells in the brain is termed as brain tumor. To identify chronic nerve proble...

Feb 2025 39832921

Glioma Multimodal MRI Analysis System for Tumor Layered Diagnosis via Multi-task Semi-supervised Learning

Gliomas are the most common primary tumors of the central nervous system. Multimodal MRI is widely...

Jan 2025 http://arxiv.org/abs/2501.17758v1

An Exceptional Dataset For Rare Pancreatic Tumor Segmentation

Pancreatic NEuroendocrine Tumors (pNETs) are very rare endocrine neoplasms that account for less t...

Jan 2025 http://arxiv.org/abs/2501.17555v1

Dynamic Hypergraph Representation for Bone Metastasis Cancer Analysis

Bone metastasis analysis is a significant challenge in pathology and plays a critical role in dete...

Jan 2025 http://arxiv.org/abs/2501.16787v1

Enhancing Visual Inspection Capability of Multi-Modal Large Language Models on Medical Time Series with Supportive Conformalized and Interpretable Small Specialized Models

Large language models (LLMs) exhibit remarkable capabilities in visual inspection of medical time-...

Jan 2025 http://arxiv.org/abs/2501.16215v1

Real-Time Brain Tumor Detection in Intraoperative Ultrasound Using YOLO11: From Model Training to Deployment in the Operating Room

Intraoperative ultrasound (ioUS) is a valuable tool in brain tumor surgery due to its versatility,...

Jan 2025 http://arxiv.org/abs/2501.15994v1

Tumor Detection, Segmentation and Classification Challenge on Automated 3D Breast Ultrasound: The TDSC-ABUS Challenge

Breast cancer is one of the most common causes of death among women worldwide. Early detection hel...

Jan 2025 http://arxiv.org/abs/2501.15588v1

[Artificial intelligence for lymph node metastasis prediction in gastric cancer: research progress].

Gastric cancer is a common tumor in China, and lymph node metastasis (LNM) is an independent prognos...

Jan 2025 39971559

Registration of Longitudinal Liver Examinations for Tumor Progress Assessment

Assessing cancer progression in liver CT scans is a clinical challenge, requiring a comparison of ...

Jan 2025 http://arxiv.org/abs/2501.14483v1

Variational U-Net with Local Alignment for Joint Tumor Extraction and Registration (VALOR-Net) of Breast MRI Data Acquired at Two Different Field Strengths

Background: Multiparametric breast MRI data might improve tumor diagnostics, characterization, and...

Jan 2025 http://arxiv.org/abs/2501.13690v1

Early Detection and Classification of Breast Cancer Using Deep Learning Techniques

Breast cancer is one of the deadliest cancers causing about massive number of patients to die annu...

Jan 2025 http://arxiv.org/abs/2501.12217v1

Can open source large language models be used for tumor documentation in Germany? -- An evaluation on urological doctors' notes

Tumor documentation in Germany is largely done manually, requiring reading patient records and ent...

Jan 2025 http://arxiv.org/abs/2501.12106v3

Prediction of Lung Metastasis from Hepatocellular Carcinoma using the SEER Database

Hepatocellular carcinoma (HCC) is a leading cause of cancer-related mortality, with lung metastase...

Jan 2025 http://arxiv.org/abs/2501.11720v1

Spatially-Delineated Domain-Adapted AI Classification: An Application for Oncology Data

Given multi-type point maps from different place-types (e.g., tumor regions), our objective is to ...

Jan 2025 http://arxiv.org/abs/2501.11695v2

A baseline for machine-learning-based hepatocellular carcinoma diagnosis using multi-modal clinical data

The objective of this paper is to provide a baseline for performing multi-modal data classificatio...

Jan 2025 http://arxiv.org/abs/2501.11535v1

Finding Reproducible and Prognostic Radiomic Features in Variable Slice Thickness Contrast Enhanced CT of Colorectal Liver Metastases

Establishing the reproducibility of radiomic signatures is a critical step in the path to clinical...

Jan 2025 http://arxiv.org/abs/2501.11221v1

Enhancing Brain Tumor Segmentation Using Channel Attention and Transfer learning

Accurate and efficient segmentation of brain tumors is critical for diagnosis, treatment planning,...

Jan 2025 http://arxiv.org/abs/2501.11196v1

Transfer Learning Strategies for Pathological Foundation Models: A Systematic Evaluation in Brain Tumor Classification

Foundation models pretrained on large-scale pathology datasets have shown promising results across...

Jan 2025 http://arxiv.org/abs/2501.11014v2

A CNN-Transformer for Classification of Longitudinal 3D MRI Images -- A Case Study on Hepatocellular Carcinoma Prediction

Longitudinal MRI analysis is crucial for predicting disease outcomes, particularly in chronic cond...

Jan 2025 http://arxiv.org/abs/2501.10733v2

AI-Driven Hybrid Ecological Model for Predicting Oncolytic Viral Therapy Dynamics

Oncolytic viral therapy (OVT) is an emerging precision therapy for aggressive and recurrent cancer...

Jan 2025 http://arxiv.org/abs/2501.10620v1