[HTML][HTML] Application of radiomics and machine learning in head and neck cancers
Z Peng, Y Wang, Y Wang, S Jiang, R Fan… - … journal of biological …, 2021 - ncbi.nlm.nih.gov
With the continuous development of medical image informatics technology, more and more
high-throughput quantitative data could be extracted from digital medical images, which has …
high-throughput quantitative data could be extracted from digital medical images, which has …
Radiomics and machine learning for radiotherapy in head and neck cancers
Introduction: An increasing number of parameters can be considered when making
decisions in oncology. Tumor characteristics can also be extracted from imaging through the …
decisions in oncology. Tumor characteristics can also be extracted from imaging through the …
Medlsam: Localize and segment anything model for 3d medical images
The Segment Anything Model (SAM) has recently emerged as a groundbreaking model in
the field of image segmentation. Nevertheless, both the original SAM and its medical …
the field of image segmentation. Nevertheless, both the original SAM and its medical …
Lvm-med: Learning large-scale self-supervised vision models for medical imaging via second-order graph matching
Obtaining large pre-trained models that can be fine-tuned to new tasks with limited
annotated samples has remained an open challenge for medical imaging data. While pre …
annotated samples has remained an open challenge for medical imaging data. While pre …
Development and validation of a magnetic resonance imaging-based model for the prediction of distant metastasis before initial treatment of nasopharyngeal …
Background We aimed to identify a magnetic resonance imaging (MRI)-based model for
assessment of the risk of individual distant metastasis (DM) before initial treatment of …
assessment of the risk of individual distant metastasis (DM) before initial treatment of …
Explainable prediction model for the human papillomavirus status in patients with oropharyngeal squamous cell carcinoma using CNN on CT images
Several studies have emphasised how positive and negative human papillomavirus (HPV+
and HPV−, respectively) oropharyngeal squamous cell carcinoma (OPSCC) has distinct …
and HPV−, respectively) oropharyngeal squamous cell carcinoma (OPSCC) has distinct …
[HTML][HTML] Radiomics and radiogenomics in head and neck squamous cell carcinoma: Potential contribution to patient management and challenges
G Bruixola, E Remacha, A Jiménez-Pastor… - Cancer Treatment …, 2021 - Elsevier
The application of imaging biomarkers in oncology is still in its infancy, but with the
expansion of radiomics and radiogenomics a revolution is expected in this field. This may be …
expansion of radiomics and radiogenomics a revolution is expected in this field. This may be …
Deintensification of treatment for human papillomavirus-related oropharyngeal cancer: Current state and future directions
EO Bigelow, TY Seiwert, C Fakhry - Oral oncology, 2020 - Elsevier
Human papillomavirus (HPV)-related oropharyngeal squamous cell cancer (OPSCC) has
emerged as a distinct clinical entity of head and neck cancer with expected high survival …
emerged as a distinct clinical entity of head and neck cancer with expected high survival …
MedLSAM: Localize and segment anything model for 3D CT images
Recent advancements in foundation models have shown significant potential in medical
image analysis. However, there is still a gap in models specifically designed for medical …
image analysis. However, there is still a gap in models specifically designed for medical …
DeepPrognosis: Preoperative prediction of pancreatic cancer survival and surgical margin via comprehensive understanding of dynamic contrast-enhanced CT …
Pancreatic ductal adenocarcinoma (PDAC) is one of the most lethal cancers and carries a
dismal prognosis of∼ 10% in five year survival rate. Surgery remains the best option of a …
dismal prognosis of∼ 10% in five year survival rate. Surgery remains the best option of a …