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Showing 6112-6132 of 7,025 articles

Unified HT-CNNs Architecture: Transfer Learning for Segmenting Diverse Brain Tumors in MRI from Gliomas to Pediatric Tumors

Accurate segmentation of brain tumors from 3D multimodal MRI is vital for diagnosis and treatment ...

Dec 2024 http://arxiv.org/abs/2412.08240v1

Explainable machine learning for neoplasms diagnosis via electrocardiograms: an externally validated study

Background: Neoplasms remains a leading cause of mortality worldwide, with timely diagnosis being ...

Dec 2024 http://arxiv.org/abs/2412.07737v1

A multimodal ensemble approach for clear cell renal cell carcinoma treatment outcome prediction

Purpose: A reliable cancer prognosis model for clear cell renal cell carcinoma (ccRCC) can enhance...

Dec 2024 http://arxiv.org/abs/2412.07136v1

A No-Reference Medical Image Quality Assessment Method Based on Automated Distortion Recognition Technology: Application to Preprocessing in MRI-guided Radiotherapy

Objective:To develop a no-reference image quality assessment method using automated distortion rec...

Dec 2024 http://arxiv.org/abs/2412.06599v2

BATseg: Boundary-aware Multiclass Spinal Cord Tumor Segmentation on 3D MRI Scans

Spinal cord tumors significantly contribute to neurological morbidity and mortality. Precise morph...

Dec 2024 http://arxiv.org/abs/2412.06507v1

AI-Driven Non-Invasive Detection and Staging of Steatosis in Fatty Liver Disease Using a Novel Cascade Model and Information Fusion Techniques

Non-alcoholic fatty liver disease (NAFLD) is one of the most widespread liver disorders on a globa...

Dec 2024 http://arxiv.org/abs/2412.04884v1

Adult Glioma Segmentation in Sub-Saharan Africa using Transfer Learning on Stratified Finetuning Data

Gliomas, a kind of brain tumor characterized by high mortality, present substantial diagnostic cha...

Dec 2024 http://arxiv.org/abs/2412.04111v2

Magnetic Resonance Imaging Feature-Based Subtyping and Model Ensemble for Enhanced Brain Tumor Segmentation

Accurate and automatic segmentation of brain tumors in multi-parametric magnetic resonance imaging...

Dec 2024 http://arxiv.org/abs/2412.04094v3

Hybrid deep learning-based strategy for the hepatocellular carcinoma cancer grade classification of H&E stained liver histopathology images

Hepatocellular carcinoma (HCC) is a common type of liver cancer whose early-stage diagnosis is a c...

Dec 2024 http://arxiv.org/abs/2412.03084v2

Deep Learning for Longitudinal Gross Tumor Volume Segmentation in MRI-Guided Adaptive Radiotherapy for Head and Neck Cancer

Accurate segmentation of gross tumor volume (GTV) is essential for effective MRI-guided adaptive r...

Dec 2024 http://arxiv.org/abs/2412.00663v1

Evaluation of a Deep Learning Model for Metastatic Squamous Cell Carcinoma Prediction From Whole Slide Images.

CONTEXT.—: Squamous cell carcinoma (SCC) is a histologic type of cancer that exhibits various degree...

Dec 2024 38387604

Oropharyngeal Cancer Staging Health Record Extraction Using Artificial Intelligence.

IMPORTANCE: Accurate, timely, and cost-effective methods for staging oropharyngeal cancers are cruci...

Dec 2024 38754135

Evaluating the Cumulative Benefit of Inspiratory CT, Expiratory CT, and Clinical Data for COPD Diagnosis and Staging through Deep Learning.

Purpose To measure the benefit of single-phase CT, inspiratory-expiratory CT, and clinical data for ...

Dec 2024 39665633

A machine learning approach to predict HPV positivity of oropharyngeal squamous cell carcinoma.

HPV status is an important prognostic factor in oropharyngeal squamous cell carcinoma (OPSCC), with ...

Dec 2024 39748723

[Screening of characteristic genes of salivary gland adenoid cystic carcinoma based on weighted co-expression network and machine learning].

PURPOSE: To identify potential biomarkers of salivary gland adenoid cystic carcinoma to further unde...

Dec 2024 40007290

[Clinical study of cervical lymph node metastasis in oral tongue squamous carcinoma by a machine learning model based on contrast-enhanced CT radiomics].

PURPOSE: To investigate the value of machine learning model based on enhanced CT imaging features an...

Dec 2024 40007291

Multimodal Whole Slide Foundation Model for Pathology

The field of computational pathology has been transformed with recent advances in foundation model...

Nov 2024 http://arxiv.org/abs/2411.19666v1

Multimodal Integration of Longitudinal Noninvasive Diagnostics for Survival Prediction in Immunotherapy Using Deep Learning

Purpose: Analyzing noninvasive longitudinal and multimodal data using artificial intelligence coul...

Nov 2024 http://arxiv.org/abs/2411.18253v1

Oncology/Hematology

Browse Categories

Unified HT-CNNs Architecture: Transfer Learning for Segmenting Diverse Brain Tumors in MRI from Gliomas to Pediatric Tumors

Explainable machine learning for neoplasms diagnosis via electrocardiograms: an externally validated study

A multimodal ensemble approach for clear cell renal cell carcinoma treatment outcome prediction

A No-Reference Medical Image Quality Assessment Method Based on Automated Distortion Recognition Technology: Application to Preprocessing in MRI-guided Radiotherapy

BATseg: Boundary-aware Multiclass Spinal Cord Tumor Segmentation on 3D MRI Scans

AI-Driven Non-Invasive Detection and Staging of Steatosis in Fatty Liver Disease Using a Novel Cascade Model and Information Fusion Techniques

Adult Glioma Segmentation in Sub-Saharan Africa using Transfer Learning on Stratified Finetuning Data

Magnetic Resonance Imaging Feature-Based Subtyping and Model Ensemble for Enhanced Brain Tumor Segmentation

Hybrid deep learning-based strategy for the hepatocellular carcinoma cancer grade classification of H&E stained liver histopathology images

Deep Learning for Longitudinal Gross Tumor Volume Segmentation in MRI-Guided Adaptive Radiotherapy for Head and Neck Cancer

Evaluation of a Deep Learning Model for Metastatic Squamous Cell Carcinoma Prediction From Whole Slide Images.

Oropharyngeal Cancer Staging Health Record Extraction Using Artificial Intelligence.

Evaluating the Cumulative Benefit of Inspiratory CT, Expiratory CT, and Clinical Data for COPD Diagnosis and Staging through Deep Learning.

A machine learning approach to predict HPV positivity of oropharyngeal squamous cell carcinoma.

[Screening of characteristic genes of salivary gland adenoid cystic carcinoma based on weighted co-expression network and machine learning].

[Clinical study of cervical lymph node metastasis in oral tongue squamous carcinoma by a machine learning model based on contrast-enhanced CT radiomics].

Multimodal Whole Slide Foundation Model for Pathology

Multimodal Integration of Longitudinal Noninvasive Diagnostics for Survival Prediction in Immunotherapy Using Deep Learning

DapPep: Domain Adaptive Peptide-agnostic Learning for Universal T-cell Receptor-antigen Binding Affinity Prediction

Comprehensive bioinformatics and machine learning analyses for breast cancer staging using TCGA dataset.

microT-CNN: an avant-garde deep convolutional neural network unravels functional miRNA targets beyond canonical sites.

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