[HTML][HTML] Automated Detection and Classification of Adrenal Masses on CT Using Two Annotation Methods: Segmentation vs. Bounding Box
T Takaishi, Y Kokubo, K Kondo, K Matsumoto… - European Journal of …, 2025 - Elsevier
Purpose We developed artificial intelligence (AI) models to detect and classify adrenal
masses based on the guideline from the American College of Radiology by using two …
masses based on the guideline from the American College of Radiology by using two …
Identifying Patients with CSF-Venous Fistula Using Brain MRI: A Deep Learning Approach
BACKGROUND AND PURPOSE: Spontaneous intracranial hypotension is an increasingly
recognized condition. Spontaneous intracranial hypotension is caused by a CSF leak, which …
recognized condition. Spontaneous intracranial hypotension is caused by a CSF leak, which …
Deep learning vs. robust federal learning for distinguishing adrenal metastases from benign lesions with multi-phase CT images
B Feng, C Ma, Q Hu, Y Lei, M Wan, F Lin, J Cui… - Heliyon, 2024 - cell.com
Background Differentiating adrenal adenomas from metastases poses a significant
challenge, particularly in patients with a history of extra-adrenal malignancy. This study …
challenge, particularly in patients with a history of extra-adrenal malignancy. This study …
Whole-body low-dose computed tomography in patients with newly diagnosed multiple myeloma predicts cytogenetic risk: a deep learning radiogenomics study
Objective To develop a whole-body low-dose CT (WBLDCT) deep learning model and
determine its accuracy in predicting the presence of cytogenetic abnormalities in multiple …
determine its accuracy in predicting the presence of cytogenetic abnormalities in multiple …
[HTML][HTML] Deep Learning–Based Prediction of Hepatic Decompensation in Patients With Primary Sclerosing Cholangitis With Computed Tomography
Objective To investigate a deep learning model for predicting hepatic decompensation using
computed tomography (CT) imaging in patients with primary sclerosing cholangitis (PSC) …
computed tomography (CT) imaging in patients with primary sclerosing cholangitis (PSC) …
A review of artificial intelligence in imaging diagnosis of adrenal diseases
SUN Zhipeng, H Baoan, Z Xuezhou, Z Ning - J Clin Urol, 2025 - en.whuhzzs.com
In recent years, artificial intelligence (AI) has shown a rapid development trend in various
fields due to its ability to process large quantities and high-dimensional information. In the …
fields due to its ability to process large quantities and high-dimensional information. In the …
A mellékvesekéreg-carcinoma diagnosztikája
J Tőke, M Tóth - Orvosi Hetilap, 2024 - akjournals.com
A mellékvesekéreg-carcinoma ritka, rossz prognózisú megbetegedés. Az érintett betegek
kórjóslatát döntően meghatározza, hogy a betegség korán, még lokoregionális stádiumban …
kórjóslatát döntően meghatározza, hogy a betegség korán, még lokoregionális stádiumban …
人工智能在肾上腺疾病影像诊断中的研究进展
孙志鹏， 洪保安， 张学舟， 张宁 - 临床泌尿外科杂志, 2025 - lcmw.whuhzzs.com
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