LNAS: A clinically applicable deep-learning system for mediastinal enlarged lymph nodes segmentation and station mapping without regard to the pathogenesis using …
Y Cao, J Feng, C Wang, F Yang, X Wang, J Xu… - La radiologia …, 2024 - Springer
Background The accurate identification and evaluation of lymph nodes by CT images is of
great significance for disease diagnosis, treatment, and prognosis. Purpose To assess the …
great significance for disease diagnosis, treatment, and prognosis. Purpose To assess the …
Multi-task parallel with feature sharing integrated 3D U-Nets for Glioma Segmentation
S Li, S Guo - Biomedical Signal Processing and Control, 2024 - Elsevier
Glioma segmentation is a crucial task for accurate quantitative analysis, precise diagnosis
and effective treatment. However, the challenge remains in simultaneously locating multiple …
and effective treatment. However, the challenge remains in simultaneously locating multiple …
Deep Learning and Registration-Based Mapping for Analyzing the Distribution of Nodal Metastases in Head and Neck Cancer Cohorts: Informing Optimal …
T Weissmann, S Mansoorian, MS May, S Lettmaier… - Cancers, 2023 - mdpi.com
Simple Summary This study presents two novel methods for automatically analyzing the
distribution of nodal metastases in head and neck (H/N) cancer cohorts. The proposed deep …
distribution of nodal metastases in head and neck (H/N) cancer cohorts. The proposed deep …
Segmentation of mediastinal lymph nodes in CT with anatomical priors
TS Mathai, B Liu, RM Summers - International Journal of Computer …, 2024 - Springer
Abstract Purpose Lymph nodes (LNs) in the chest have a tendency to enlarge due to various
pathologies, such as lung cancer or pneumonia. Clinicians routinely measure nodal size to …
pathologies, such as lung cancer or pneumonia. Clinicians routinely measure nodal size to …
German specialists treating testicular cancer follow different guidelines with resulting inconsistency in assessment of retroperitoneal lymph-node metastasis: clinical …
J Schoch, K Haunschild, A Strauch, K Nestler… - World Journal of …, 2023 - Springer
Background Testicular germ cell tumors (GCTs) are aggressive but highly curable tumors.
To avoid over/undertreatment, reliable clinical staging of retroperitoneal lymph-node …
To avoid over/undertreatment, reliable clinical staging of retroperitoneal lymph-node …
Artificial intelligence in lung cancer: Application and future thinking.
W Zhao, J Liu - Zhong nan da xue xue bao. Yi xue ban= Journal of …, 2022 - europepmc.org
医疗大数据的可获得性和计算机软硬件的飞速发展, 极大地促进了智慧医疗的发展. 人工智能
(artificial intelligence, AI) 已成功应用于医学多个领域, 在肺癌方面的应用尤为突出 …
(artificial intelligence, AI) 已成功应用于医学多个领域, 在肺癌方面的应用尤为突出 …
Automatic Lymph Nodes Segmentation and Histological Status Classification on Computed Tomography Scans Using Convolutional Neural Network
Lung cancer is the second most common type of cancer worldwide, making up about 20% of
all cancer deaths with less than 10% 5-year survival rate for the very late stage. The recent …
all cancer deaths with less than 10% 5-year survival rate for the very late stage. The recent …
[HTML][HTML] 人工智能在肺癌领域的应用与思考
赵伟， 刘军 - Journal of Central South University Medical Sciences, 2022 - ncbi.nlm.nih.gov
医疗大数据的可获得性和计算机软硬件的飞速发展， 极大地促进了智慧医疗的发展。
人工智能(artificial intelligence， AI) 已成功应用于医学多个领域， 在肺癌方面的应用尤为突出 …
人工智能(artificial intelligence， AI) 已成功应用于医学多个领域， 在肺癌方面的应用尤为突出 …
Diagnostische Radiologie
S Lennartz, HP Schlemmer, T Persigehl - Die Onkologie, 2022 - Springer
Zusammenfassung Hintergrund Aktuelle wissenschaftliche Entwicklungen in der
onkologischen Bildgebung führen in verschiedenen klinischen Anwendungsfeldern zu …
onkologischen Bildgebung führen in verschiedenen klinischen Anwendungsfeldern zu …
Assessing the probability of metastatic mediastinal lymph node involvement in patients with non-small cell lung cancer using convolutional neural networks on chest …
BACKGROUND: Lung cancer is the second most common cancer worldwide, accounting for
approximately 20% of all cancer-related deaths and having a< 10% 5-year survival rate for …
approximately 20% of all cancer-related deaths and having a< 10% 5-year survival rate for …