A systematic review of artificial intelligence techniques in cancer prediction and diagnosis
Artificial intelligence has aided in the advancement of healthcare research. The availability
of open-source healthcare statistics has prompted researchers to create applications that aid …
of open-source healthcare statistics has prompted researchers to create applications that aid …
Artificial intelligence and precision medicine: a new frontier for the treatment of brain tumors
AK Philip, BA Samuel, S Bhatia, SAM Khalifa… - Life, 2022 - mdpi.com
Brain tumors are a widespread and serious neurological phenomenon that can be life-
threatening. The computing field has allowed for the development of artificial intelligence …
threatening. The computing field has allowed for the development of artificial intelligence …
Combination of whole-body baseline ct radiomics and clinical parameters to predict response and survival in a stage-iv melanoma cohort undergoing immunotherapy
Simple Summary The use of immunotherapeutic agents significantly improved stage-IV
melanoma patients' overall progression-free survival. To identify patients who do not benefit …
melanoma patients' overall progression-free survival. To identify patients who do not benefit …
Optimizing deep learning-based segmentation of densely packed cells using cell surface markers
Background Spatial molecular profiling depends on accurate cell segmentation.
Identification and quantitation of individual cells in dense tissues, eg highly inflamed tissue …
Identification and quantitation of individual cells in dense tissues, eg highly inflamed tissue …
Automated localization and segmentation of cervical lymph nodes on contrast-enhanced CT using a 3D foveal fully convolutional neural network
M Rinneburger, H Carolus, AI Iuga, M Weisthoff… - European Radiology …, 2023 - Springer
Background In the management of cancer patients, determination of TNM status is essential
for treatment decision-making and therefore closely linked to clinical outcome and survival …
for treatment decision-making and therefore closely linked to clinical outcome and survival …
Anatomy-Aware Lymph Node Detection in Chest CT Using Implicit Station Stratification
Finding abnormal lymph nodes in radiological images is highly important for various medical
tasks such as cancer metastasis staging and radiotherapy planning. Lymph nodes (LNs) are …
tasks such as cancer metastasis staging and radiotherapy planning. Lymph nodes (LNs) are …
Identifying Lymph Nodes and Their Statuses from Pretreatment Computer Tomography Images of Patients with Head and Neck Cancer Using a Clinical-Data-Driven …
SY Huang, WL Hsu, DW Liu, EL Wu, YS Peng, ZT Liao… - Cancers, 2023 - mdpi.com
Simple Summary We proposed a deep learning algorithm to detect lymph nodes and
classify them in the head and neck region on computed tomography. We further analyzed …
classify them in the head and neck region on computed tomography. We further analyzed …
Three-dimensional semantic segmentation of pituitary adenomas based on the deep learning framework-nnU-net: A clinical perspective
X Shu, Y Zhou, F Li, T Zhou, X Meng, F Wang, Z Zhang… - Micromachines, 2021 - mdpi.com
This study developed and evaluated nnU-Net models for three-dimensional semantic
segmentation of pituitary adenomas (PAs) from contrast-enhanced T1 (T1ce) images, with …
segmentation of pituitary adenomas (PAs) from contrast-enhanced T1 (T1ce) images, with …
Thoracic lymph node segmentation in CT imaging via lymph node station stratification and size encoding
Visible lymph node (ie, LN, short axis≥ 5 mm) assessment and delineation in thoracic
computed tomography (CT) images is an indispensable step in radiology and oncology …
computed tomography (CT) images is an indispensable step in radiology and oncology …
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 …