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Subcategories: Brain Cancer Breast Cancer Chemotherapy Colon Cancer Lung Cancer Other Cancers Prostate Cancer Skin Cancer

Showing 4831-4851 of 15,403 articles

A deep learning model to triage and predict adenocarcinoma on pancreas cytology whole slide imaging.

Pancreatic fine-needle aspirations are the gold-standard diagnostic procedure for the evaluation of ...

Oct 2023 PMID: 37783684

A Structure-Aware Hierarchical Graph-Based Multiple Instance Learning Framework for pT Staging in Histopathological Image.

Pathological primary tumor (pT) stage focuses on the infiltration degree of the primary tumor to sur...

Oct 2023 PMID: 37145949

Immune response and mesenchymal transition of papillary thyroid carcinoma reflected in ultrasonography features assessed by radiologists and deep learning.

INTRODUCTION: Ultrasonography (US) features of papillary thyroid cancers (PTCs) are used to select n...

Oct 2023 PMID: 37783270

Predicting the therapeutic efficacy of AIT for asthma using clinical characteristics, serum allergen detection metrics, and machine learning techniques.

Bronchial asthma is a prevalent non-communicable disease among children. The study collected clinica...

Sep 2023 PMID: 37866086

Deep learning imaging reconstruction of reduced-dose 40 keV virtual monoenergetic imaging for early detection of colorectal cancer liver metastases.

OBJECTIVE: To explore whether reduced-dose (RD) gemstone spectral imaging (GSI) and deep learning im...

Sep 2023 PMID: 37816301

Multi-target meridians classification based on the topological structure of anti-cancer phytochemicals using deep learning.

ETHNOPHARMACOLOGICAL RELEVANCE: Traditional Chinese medicine (TCM) meridian is the key theoretical g...

Sep 2023 PMID: 37777031

A Combined Model Integrating Radiomics and Deep Learning Based on Contrast-Enhanced CT for Preoperative Staging of Laryngeal Carcinoma.

RATIONALE AND OBJECTIVES: Accurate staging of laryngeal carcinoma can inform appropriate treatment d...

Sep 2023 PMID: 37777428

Accuracy of liver metastasis detection and characterization: Dual-energy CT versus single-energy CT with deep learning reconstruction.

PURPOSE: To assess whether image quality differences between SECT (single-energy CT) and DECT (dual-...

Sep 2023 PMID: 37806195

Recent advancements in machine learning and deep learning-based breast cancer detection using mammograms.

OBJECTIVE: Mammogram-based automatic breast cancer detection has a primary role in accurate cancer d...

Sep 2023 PMID: 37914431

Imaging Analytics using Artificial Intelligence in Oncology: A Comprehensive Review.

The present era has seen a surge in artificial intelligence-related research in oncology, mainly usi...

Sep 2023 PMID: 37806795

Predicting cutaneous malignant melanoma patients' survival using deep learning: a retrospective cohort study.

BACKGROUND: Cutaneous malignant melanoma (CMM) has the worst prognosis among skin cancers, especiall...

Sep 2023 PMID: 37755576

Classification of cancer cells at the sub-cellular level by phonon microscopy using deep learning.

There is a consensus about the strong correlation between the elasticity of cells and tissue and the...

Sep 2023 PMID: 37758808

TumorDetNet: A unified deep learning model for brain tumor detection and classification.

Accurate diagnosis of the brain tumor type at an earlier stage is crucial for the treatment process ...

Sep 2023 PMID: 37756305

Machine learning (ML) techniques to predict breast cancer in imbalanced datasets: a systematic review.

Knowledge discovery in databases (KDD) is crucial in analyzing data to extract valuable insights. In...

Sep 2023 PMID: 37749361

DeepHistoNet: A robust deep-learning model for the classification of hepatocellular, lung, and colon carcinoma.

In recent days, non-communicable diseases (NCDs) require more attention since they require specializ...

Sep 2023 PMID: 37750465

Comprehensive scientometrics and visualization study profiles lymphoma metabolism and identifies its significant research signatures.

BACKGROUND: There is a wealth of poorly utilized unstructured data on lymphoma metabolism, and scien...

Sep 2023 PMID: 37822596

Imaging biomarkers and radiomics in pediatric oncology: a view from the PRIMAGE (PRedictive In silico Multiscale Analytics to support cancer personalized diaGnosis and prognosis, Empowered by imaging biomarkers) project.

This review paper presents the practical development of imaging biomarkers in the scope of the PRIMA...

Sep 2023 PMID: 37747582

Automatic dose prediction using deep learning and plan optimization with finite-element control for intensity modulated radiation therapy.

BACKGROUND: Automatic solutions for generating radiotherapy treatment plans using deep learning (DL)...

Sep 2023 PMID: 37748133

Browse Categories

A deep learning model to triage and predict adenocarcinoma on pancreas cytology whole slide imaging.

A Structure-Aware Hierarchical Graph-Based Multiple Instance Learning Framework for pT Staging in Histopathological Image.

Immune response and mesenchymal transition of papillary thyroid carcinoma reflected in ultrasonography features assessed by radiologists and deep learning.

Predicting the therapeutic efficacy of AIT for asthma using clinical characteristics, serum allergen detection metrics, and machine learning techniques.

Deep learning imaging reconstruction of reduced-dose 40 keV virtual monoenergetic imaging for early detection of colorectal cancer liver metastases.

Multi-target meridians classification based on the topological structure of anti-cancer phytochemicals using deep learning.

A Combined Model Integrating Radiomics and Deep Learning Based on Contrast-Enhanced CT for Preoperative Staging of Laryngeal Carcinoma.

Accuracy of liver metastasis detection and characterization: Dual-energy CT versus single-energy CT with deep learning reconstruction.

Recent advancements in machine learning and deep learning-based breast cancer detection using mammograms.

Imaging Analytics using Artificial Intelligence in Oncology: A Comprehensive Review.

Predicting cutaneous malignant melanoma patients' survival using deep learning: a retrospective cohort study.

Classification of cancer cells at the sub-cellular level by phonon microscopy using deep learning.

TumorDetNet: A unified deep learning model for brain tumor detection and classification.

Machine learning (ML) techniques to predict breast cancer in imbalanced datasets: a systematic review.

DeepHistoNet: A robust deep-learning model for the classification of hepatocellular, lung, and colon carcinoma.

Comprehensive scientometrics and visualization study profiles lymphoma metabolism and identifies its significant research signatures.

Imaging biomarkers and radiomics in pediatric oncology: a view from the PRIMAGE (PRedictive In silico Multiscale Analytics to support cancer personalized diaGnosis and prognosis, Empowered by imaging biomarkers) project.

Automatic dose prediction using deep learning and plan optimization with finite-element control for intensity modulated radiation therapy.

A despeckling method for ultrasound images utilizing content-aware prior and attention-driven techniques.

Point-wise spatial network for identifying carcinoma at the upper digestive and respiratory tract.

Deep learning-enabled realistic virtual histology with ultraviolet photoacoustic remote sensing microscopy.

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