Oncology/Hematology

Other Cancers

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

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Lung cancer prediction using neural network ensemble with histogram of oriented gradient genomic features.

This paper reports an experimental comparison of artificial neural network (ANN) and support vector ...

Feb 2015 25802891
Port-site metastases in patients with gynecological cancer after robot-assisted operations.

INTRODUCTION: Port-site metastasis is an extremely rare event in patients with cancer treated with r...

Feb 2015 25697924
Robotic surgery in supermorbidly obese patients with endometrial cancer.

OBJECTIVE: Morbid obesity is a known risk factor for the development of endometrial cancer. Several ...

Jan 2015 25644437
Learning machines and sleeping brains: Automatic sleep stage classification using decision-tree multi-class support vector machines.

BACKGROUND: Sleep staging is a critical step in a range of electrophysiological signal processing pi...

Jan 2015 25629798
Resting state fMRI feature-based cerebral glioma grading by support vector machine.

PURPOSE : Tumor grading plays an essential role in the optimal selection of solid tumor treatment. N...

Sep 2014 25227532
A data-driven approach to prostate cancer detection from dynamic contrast enhanced MRI.

Magnetic resonance imaging (MRI), particularly dynamic contrast enhanced (DCE) imaging, has shown gr...

Jul 2014 25060941
Functional outcomes after TORS for oropharyngeal cancer: a systematic review.

Summarize functional outcomes after transoral robotic surgery (TORS) ± adjuvant therapy for orophary...

Mar 2014 24643851
Outcome of transoral robotic surgery for stage I-II oropharyngeal cancer.

Traditionally T1-2N0 oropharyngeal carcinoma is treated with a single treatment modality, being eith...

Mar 2014 24609641
Unified MRI Brain Image Translation via Hierarchical Tumor Structure Comparison

Multi-modal MRI brain image translation via available modalities holds significant practical importa...

Cascade Classification of Dermoscopic Images of Skin Neoplasms with Controllable Sensitivity and External Clinical Validation

Purpose. To compare deep learning architectures and classification schemes for dermoscopic images of...

Assessment of the accuracy of lung lesions diagnosis in adolescents with osteosarcoma using artificial intelligence

Background. Lung metastases in osteosarcoma (OS) are the main cause of the death. The accuracy of th...

MHC Attention: Identifying HLA-E presented cancer antigens through deep learning and high-throughput screening

HLA-E presented cancer peptides can be promising cancer therapy targets, as HLA-E is minimally polym...

Multimodal Ordinal Modeling of Alzheimer's Disease Severity Using Structural MRI and Clinical Data

Neurodegenerative diseases such as Alzheimer's disease (AD) require accurate and scalable tools for ...

Intelligent Skin Cancer Detection Using a Multispectral Metasurface and a Hybrid

Skin cancer is among the most prevalent malignancies worldwiAdbe satnradcitts early detection is ess...

Improving PET/CT-Based Whole-Body Lesion Segmentation Using Prediction Uncertainty-Augmented Models

Accurate lesion segmentation from whole-body Positron Emission Tomography (PET)/Computed Tomography ...

Segmentation-Assisted Brain MRI Synthesis with Cross-Image Multi-Contrast Feature Memory Bank Retrieval Augmentation

Multi-contrast brain MRI provide complementary soft-tissue characteristics that aid in the screening...

Cell type-centric interaction networks define spatial architecture of intrahepatic cholangiocarcinoma

Tumor spatial organization critically shapes disease progression and therapeutic response, yet remai...

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