[HTML][HTML] Nasopharyngeal carcinoma. A “different” head and neck tumour. Part A: from histology to staging
G Cantù - Acta Otorhinolaryngologica Italica, 2023 - ncbi.nlm.nih.gov
As in some other sites of the head and neck, a broad range of tumours can arise in the
nasopharynx: epithelial, mesenchymal, lymphoid, and neuro-ectodermal. However …
nasopharynx: epithelial, mesenchymal, lymphoid, and neuro-ectodermal. However …
Application of artificial intelligence to the diagnosis and therapy of nasopharyngeal carcinoma
X Yang, J Wu, X Chen - Journal of Clinical Medicine, 2023 - mdpi.com
Artificial intelligence (AI) is an interdisciplinary field that encompasses a wide range of
computer science disciplines, including image recognition, machine learning, human …
computer science disciplines, including image recognition, machine learning, human …
[HTML][HTML] A comprehensive machine learning benchmark study for radiomics-based survival analysis of CT imaging data in patients with hepatic metastases of CRC
Objectives Optimizing a machine learning (ML) pipeline for radiomics analysis involves
numerous choices in data set composition, preprocessing, and model selection. Objective …
numerous choices in data set composition, preprocessing, and model selection. Objective …
[HTML][HTML] Radiomic feature repeatability and its impact on prognostic model generalizability: A multi-institutional study on nasopharyngeal carcinoma patients
Background and purpose To investigate the radiomic feature (RF) repeatability via
perturbation and its impact on cross-institutional prognostic model generalizability in …
perturbation and its impact on cross-institutional prognostic model generalizability in …
Baseline MRI-based radiomics model assisted predicting disease progression in nasopharyngeal carcinoma patients with complete response after treatment
D Bao, Z Liu, Y Geng, L Li, H Xu, Y Zhang, L Hu… - Cancer Imaging, 2022 - Springer
Background Accurate pretreatment prediction for disease progression of nasopharyngeal
carcinoma is key to intensify therapeutic strategies to high-risk individuals. Our aim was to …
carcinoma is key to intensify therapeutic strategies to high-risk individuals. Our aim was to …
Adjuvant chemotherapy or no adjuvant chemotherapy? A prediction model for the risk stratification of recurrence or metastasis of nasopharyngeal carcinoma …
Q Wu, Y Chang, C Yang, H Liu, F Chen, H Dong… - Plos one, 2023 - journals.plos.org
Background Dose adjuvant chemotherapy (AC) should be offered in nasopharyngeal
carcinoma (NPC) patients? Different guidelines provided the different recommendations …
carcinoma (NPC) patients? Different guidelines provided the different recommendations …
Machine learning based on MRI DWI radiomics features for prognostic prediction in nasopharyngeal carcinoma
Q Hu, G Wang, X Song, J Wan, M Li, F Zhang, Q Chen… - Cancers, 2022 - mdpi.com
Simple Summary In the past, radiomics studies of nasopharyngeal carcinoma (NPC) were
only based on basic MR sequences. Previous studies have shown that radiomics methods …
only based on basic MR sequences. Previous studies have shown that radiomics methods …
Pemanfaatan Model Neural Network Dalam Generasi Baru Pertanian Presisi Di Perkebunan Kelapa Sawit
Era revolusi industri 4.0 dengan penggunaan Internet of Thing, big data, dan Artificial
Intelligence mendorong pertanian presisi ke tingkat yang lebih lanjut (next generation …
Intelligence mendorong pertanian presisi ke tingkat yang lebih lanjut (next generation …
The Long Noncoding RNA Cytoskeleton Regulator RNA (CYTOR)/miRNA‐24‐3p Axis Facilitates Nasopharyngeal Carcinoma Progression by Modulating GAD1 …
J Du, W Yu, L Peng, T Zhang - Journal of Oncology, 2023 - Wiley Online Library
Nasopharyngeal carcinoma (NPC) is a head and neck epithelial carcinoma that is unusually
prevalent in Southeast Asia. Noncoding RNAs, including lncRNA and miRNA, and their …
prevalent in Southeast Asia. Noncoding RNAs, including lncRNA and miRNA, and their …
Synergizing photon-counting CT with deep learning: potential enhancements in medical imaging
I Mese, C Altintas Taslicay, AK Sivrioglu - Acta Radiologica, 2024 - journals.sagepub.com
This review article highlights the potential of integrating photon-counting computed
tomography (CT) and deep learning algorithms in medical imaging to enhance diagnostic …
tomography (CT) and deep learning algorithms in medical imaging to enhance diagnostic …