过去一年中添加的文章，按日期排序
Multiparametric Characterization of Focal Cortical Dysplasia Using 3D MR Fingerprinting
3 天前 - … focal epilepsy and histopathologically confirmed FCD, 60 … Fivefold cross-validation
was performed and performance … for the magnetic resonance imaging negative group and …
was performed and performance … for the magnetic resonance imaging negative group and …
[HTML][HTML] The promise of Artificial Intelligence and Internet of Things in oral cancer detection
AS Dhane - Journal of Medicine, Surgery, and Public Health, 2024 - Elsevier
3 天前 - … machine learning and deep learning models, show great promise for accurately
assessing digital images and histopathology … Furthermore, the performance and efficacy of …
assessing digital images and histopathology … Furthermore, the performance and efficacy of …
MRI Radiomics in Imaging of Focal Hepatic Lesions: A Narrative Review
BN Konwar, B Kangkana, B Kakoli, S Rahul, S Ray - Cureus, 2024 - search.proquest.com
4 天前 - … artificial intelligence (… efficiency there are certain limitations such as the absence
of a large diverse dataset, comparison with other AI models, integration with histopathological …
of a large diverse dataset, comparison with other AI models, integration with histopathological …
Optimizing Foundation Models for Histopathology: A Continual Learning Approach to Cancer Detection
A Yadav, O Daescu - … Artificial Intelligence for Healthcare: Second … - books.google.com
4 天前 - … the effectiveness of specialized models in capturing the details specific of
histopathological images… This study explores the potential of digital histopathology image based …
histopathological images… This study explores the potential of digital histopathology image based …
A Multi-Modal Machine Learning Methodology for Predicting Solitary Pulmonary Nodule Malignancy in Patients Undergoing PET/CT Examination
ID Apostolopoulos, ND Papathanasiou… - Big Data and Cognitive …, 2024 - mdpi.com
4 天前 - … validate the model and 96 histopathological-confirmed cases for external …
performance in the external set. It also identified the VGG19 predictions from CT and PET images, …
performance in the external set. It also identified the VGG19 predictions from CT and PET images, …
Boosting The Deep Learning Performance in Predicting IDH Mutation in Gliomas Using Multiparametric MRI Including SWI, FLAIR and CE-T1WI
S Azamat, B Buz-Yaluğ, A Ozcan, AE Danyeli, N Pamir… - archive.ismrm.org
4 天前 - … Keywords: Tumors, Machine Learning/Artificial IntelligenceGliomas with IDH
mutations tend to have a better prognosis regardless of the histopathological grade. The main aim …
mutations tend to have a better prognosis regardless of the histopathological grade. The main aim …
Self-supervised pretraining and network ensembling for spatial mapping of treatment-effect in recurrent GBM with physiologic MRI
J Ellison, N Tran, R Hanna, J Cluceru, J Phillips… - archive.ismrm.org
4 天前 - … images surrounding the locations of histopathologically-confirmed tissue samples
were used to train our models. Including physiological images, … Performance decreased when …
were used to train our models. Including physiological images, … Performance decreased when …
Surface-Enhanced Raman Scattering Nanosensing and Imaging in Neuroscience
R Boudries, H Williams, S Paquereau--Gaboreau… - ACS …, 2024 - ACS Publications
5 天前 - … nanosensors, and imaging normal and pathological brain tissues … SERS imaging
and artificial intelligence for robust … of nanotag design in their performance for SERS imaging. …
and artificial intelligence for robust … of nanotag design in their performance for SERS imaging. …
Integrating MRI-based radiomics and clinicopathological features for preoperative prognostication of early-stage cervical adenocarcinoma patients: in comparison to …
H Qiu, M Wang, S Wang, X Li, D Wang, Y Qin, Y Xu… - Cancer Imaging, 2024 - Springer
5 天前 - … on pathological image … performance compared to those using MRI images alone.
These results underscore the importance of combining clinical data with advanced imaging …
These results underscore the importance of combining clinical data with advanced imaging …
The potential value of dual-energy CT radiomics in evaluating CD8+, CD163+ and αSMA+ cells in the tumor microenvironment of clear cell renal cell carcinoma
R Li, X Bing, X Su, C Zhang, H Sun, Z Dai… - Clinical and Translational …, 2024 - Springer
6 天前 - … pathological confirmation from Center I (training set, n = 69; validation set, n = 18),
and collected their DECT images … assessment models achieved good performance, which is …
and collected their DECT images … assessment models achieved good performance, which is …