Deep and dense convolutional neural network for multi category classification of magnification specific and magnification independent breast cancer histopathological …
MA Jawad, F Khursheed - Biomedical Signal Processing and Control, 2022 - Elsevier
Nowadays, breast cancer is the leading cause of mortality among all other cancers affecting
women. Histopathological images serve as an appropriate template for the pathological …
women. Histopathological images serve as an appropriate template for the pathological …
A CT-based radiomic signature for the differentiation of pulmonary hamartomas from carcinoid tumors
Radiomics is a new image processing technology developed in recent years. In this study,
CT radiomic features are evaluated to differentiate pulmonary hamartomas (PHs) from …
CT radiomic features are evaluated to differentiate pulmonary hamartomas (PHs) from …
Risk stratification of thymic epithelial tumors based on peritumor CT radiomics and semantic features
L Zhang, Z Xu, Y Feng, Z Pan, Q Li, A Wang, Y Hu… - Insights into …, 2024 - Springer
Objectives To develop and validate nomograms combining radiomics and semantic features
to identify the invasiveness and histopathological risk stratification of thymic epithelial tumors …
to identify the invasiveness and histopathological risk stratification of thymic epithelial tumors …
CT imaging-based machine learning model: a potential modality for predicting low-risk and high-risk groups of thymoma:“Impact of surgical modality choice”
A Kayi Cangir, K Orhan, Y Kahya, H Özakıncı… - World Journal of …, 2021 - Springer
Introduction Radiomics methods are used to analyze various medical images, including
computed tomography (CT), magnetic resonance, and positron emission tomography to …
computed tomography (CT), magnetic resonance, and positron emission tomography to …
Combined clinical and specific positron emission tomography/computed tomography-based radiomic features and machine-learning model in prediction of thymoma …
E Ozkan, K Orhan, C Soydal, Y Kahya… - Nuclear medicine …, 2022 - journals.lww.com
Objectives In this single-center study, we aimed to propose a machine-learning model and
assess its ability with clinical data to classify low-and high-risk thymoma on fluorine-18 (18 …
assess its ability with clinical data to classify low-and high-risk thymoma on fluorine-18 (18 …
Identification and risk classification of thymic epithelial tumors using 3D computed tomography images and deep learning models
YS Moon, B Park, J Park, TT Ho, JK Lim… - … Signal Processing and …, 2024 - Elsevier
Thymic epithelial tumor (TET) is the most common neoplasm of the anterior mediastinum,
accounting for approximately 47% of all anterior mediastinal tumors. Early identification and …
accounting for approximately 47% of all anterior mediastinal tumors. Early identification and …
Deep learning for risk stratification of thymoma pathological subtypes based on preoperative CT images
W Liu, W Wang, R Guo, H Zhang, M Guo - BMC cancer, 2024 - Springer
Objectives This study aims to develop an innovative, deep model for thymoma risk
stratification using preoperative CT images. Current algorithms predominantly focus on …
stratification using preoperative CT images. Current algorithms predominantly focus on …
Anterior mediastinal nodular lesion segmentation from chest computed tomography imaging using UNet based neural network with attention mechanisms
Y Wang, WG Jeong, H Zhang, Y Choi, GY **… - Multimedia Tools and …, 2024 - Springer
Automated detection of anterior mediastinal nodular lesions (AMLs) has significance for
clinical usage as it is challenging for radiologists to accurately identify AMLs from chest …
clinical usage as it is challenging for radiologists to accurately identify AMLs from chest …
Comparison of efficacy and safety of platinum-based chemotherapy as first-line therapy between B3 thymoma and thymic carcinoma
Y Hao, J Si, J **, J Wei, J **ang, C Xu, Z Song - Current Oncology, 2022 - mdpi.com
Background: B3 type thymoma is defined as a well-differentiated thymic carcinoma and is
similar to a thymic carcinoma. However, the differences between them are not well defined …
similar to a thymic carcinoma. However, the differences between them are not well defined …
[HTML][HTML] The efficacy and safety of immunotherapy in thymic epithelial tumors: more effective, more risky: a systematic review
X Song, J Fan, L Zhu, Z Wang, Y He… - Journal of Thoracic …, 2021 - ncbi.nlm.nih.gov
Background Thymic epithelial tumors (TETs) are rare malignant neoplasms originating from
thymic epithelial cells. The current treatment for localized TETs is surgical removal …
thymic epithelial cells. The current treatment for localized TETs is surgical removal …