- A Deep Learning Model for Preoperative Differentiation of ...🔍
- Deep learning aided preoperative diagnosis of primary central ...🔍
- Deep learning based on preoperative MR to differentiate ...🔍
- Deep learning–based automatic segmentation of meningioma from ...🔍
- Machine learning|based diagnostic model for preoperative ...🔍
- Preoperative Contrast|Enhanced CT|Based Deep Learning ...🔍
- Novel Deep Learning Radiomics Model for Preoperative Evaluation ...🔍
- Novel deep learning radiomics model for preoperative evaluation of ...🔍
A Deep Learning Model for Preoperative Differentiation ...
A Deep Learning Model for Preoperative Differentiation of ... - PubMed
We trained and internally validated a deep learning model able to reliably differentiate ambiguous cases of PCNSLs, glioblastoma and BMs by ...
A Deep Learning Model for Preoperative Differentiation of ... - NCBI
We found that our DNN model trained on T1Gd-weighted volumetric MRI axial scans showed 83.08%, 94.65%, 81.07% accuracy rates in differentiating each lesion ( ...
A Deep Learning Model for Preoperative Differentiation of ... - MDPI
This artificial intelligence-based model might represent a valuable educational resource and, if largely replicated on prospective data, help physicians ...
(PDF) A Deep Learning Model for Preoperative Differentiation of ...
Each lesion was segmented, and all regions of interest were exported in a DICOM dataset. A pre-trained ResNet101 deep neural network model ...
A Deep Learning Model for Preoperative Differentiation of ... - MDPI
A Deep Learning Model for Preoperative Differentiation of Glioblastoma, Brain Metastasis, and Primary Central Nervous System Lymphoma: An ...
(PDF) A Deep Learning Model for Preoperative Differentiation of ...
Hence, the model may help clinicians in identifying patients eligible for lesion biopsy or surgical resection. Conclusion: We trained and ...
Deep learning aided preoperative diagnosis of primary central ...
21. Tariciotti, L. ∙ Caccavella, V.M. ∙ Fiore, G. ... A Deep Learning Model for Preoperative Differentiation of Glioblastoma, Brain Metastasis and Primary ...
A Deep Learning Model for Preoperative Differentiation of ... - OUCI
A Deep Learning Model for Preoperative Differentiation of Glioblastoma, Brain Metastasis, and Primary Central Nervous System Lymphoma: An External Validation ...
Deep learning based on preoperative MR to differentiate ...
19Background: Intracranial germ cell tumors (iGCTs) are highly malignant brain tumors that predominantly occur in children.
Deep learning–based automatic segmentation of meningioma from ...
... preoperative meningioma differentiation in clinical practice ... Machine Learning and Deep Learning ... Deep Learning Model for the Automated ...
Machine learning-based diagnostic model for preoperative ...
Machine learning-based diagnostic model for preoperative differentiation between xanthogranulomatous cholecystitis and gallbladder carcinoma: a ...
Preoperative Contrast-Enhanced CT-Based Deep Learning ...
Preoperative Contrast-Enhanced CT-Based Deep Learning Radiomics Model for Distinguishing Retroperitoneal Lipomas and Well‑Differentiated ...
Novel Deep Learning Radiomics Model for Preoperative Evaluation ...
Multiomics analysis showed the selected radiomics features contained abundant biological information was related to tumor differentiation. Conclusions: Our deep ...
Novel deep learning radiomics model for preoperative evaluation of ...
Dear Editor,. The evaluation of tumor differentiation is an urgent clinical issue that would facilitate the establishment of individualized ...
A deep learning radiomics model for preoperative grading in ...
To noninvasively differentiate meningioma grades by deep learning radiomics (DLR) model based on routine post-contrast MRI. Methods. We enrolled 181 patients ...
Novel Deep Learning Radiomics Model for Preoperative Evaluation ...
Background: The evaluation of tumor differentiation is an urgent clinical issue that would facilitate the establishment of individualized ...
Preoperative Differentiation of HER2‐Zero and HER2‐Low from ...
The MRI-based BI-RADS features are processed by different machine learning (ML) algorithms to build models classifying the HER2 expression ...
18F-FDG-PET/CT-based deep learning model for fully automated ...
Therefore, a safe and accurate preoperative method for determining the degree of differentiation of PDAC is needed. The determination of the ...
Preoperative Evaluation of Hepatocellular Carcinoma Differentiation ...
We developed a deep-learning radiomics (DLR) model based on contrast-enhanced ultrasound (CEUS) to evaluate the differentiation of HCC ...
Preoperative prediction of rectal Cancer staging combining MRI ...
The study confirms the utility of a combined model of MRI deep transfer learning, radiomic features, and clinical factors for preoperative ...