… the use of sentinel lymph node biopsy (SLNB) in the management of a variety of … lymph
node groups with high accuracy and minimal morbidity, sparing patients an elective lymph node …

… Sentinel lymph node … sentinel lymph nodes positivity prediction for clinically negative
patients. We tested it on 993 patients referred to our institute characterized by sentinel lymph node …

… Meanwhile, the combined model showed better performance in sentinel lymph node
metastasis (SLNM) prediction and achieved a higher AUC (0.88) in the validation set. …

… The network consisted of 24 convolution (Conv) layers and 2 fully connected (FC) layers,
with some Conv layers and FC layers constructing ensembles of residual modules. The object …

… Axillary lymph node status constitutes an important prognostic factor, particularly in luminal
… ‘Traditional’ axillary dissection has been abandoned in favour of sentinel lymph node (SLN) …

… spread by histopathological analysis of sentinel axillary lymph nodes is an important part
of … on high-dimensional image data. William et al. [22] used an ensemble-based method to …

… sentinel lymph node imaging, occult lymph node … of sentinel lymph node biopsy, in
early-stage oral cancer, to a higher level. This review evaluates novel sentinel lymph node imaging …

… Of these patients we collected glass slides of H&E-stained sentinel lymph nodes. … ensembles
but only 2 teams, team 4 and 12 used fundamentally different networks in their ensembles. …

… lymph node metastasis (ALNM), ALND might not confer a survival advantage [4]. Sentinel
lymph node … Multiple ML models should be used in clinical routine in order that the ensemble …

… In this study, a novel ensemble-based framework is proposed for the classification of lymph
node … -based ensemble learning framework is proposed (ensemble-AFN) for classification of …