Learn fine-grained adaptive loss for multiple anatomical landmark detection in medical images
Automatic and accurate detection of anatomical landmarks is an essential operation in
medical image analysis with a multitude of applications. Recent deep learning methods
have improved results by directly encoding the appearance of the captured anatomy with the
likelihood maps (ie, heatmaps). However, most current solutions overlook another essence
of heatmap regression, the objective metric for regressing target heatmaps and rely on hand-
crafted heuristics to set the target precision, thus being usually cumbersome and task …
medical image analysis with a multitude of applications. Recent deep learning methods
have improved results by directly encoding the appearance of the captured anatomy with the
likelihood maps (ie, heatmaps). However, most current solutions overlook another essence
of heatmap regression, the objective metric for regressing target heatmaps and rely on hand-
crafted heuristics to set the target precision, thus being usually cumbersome and task …
[PDF][PDF] Learn Fine-grained Adaptive Loss for Multiple Anatomical Landmark Detection in Medical Images
JQ Huang, C Chen, D Ni - researchgate.net
Automatic and accurate detection of anatomical landmarks is an essential operation in
medical image analysis with a multitude of applications. Recent deep learning methods
have improved results by directly encoding the appearance of the captured anatomy with the
likelihood maps (ie, heatmaps). However, most current solutions overlook another essence
of heatmap regression, the objective metric for regressing target heatmaps and rely on hand-
crafted heuristics to set the target precision, thus being usually cumbersome and task …
medical image analysis with a multitude of applications. Recent deep learning methods
have improved results by directly encoding the appearance of the captured anatomy with the
likelihood maps (ie, heatmaps). However, most current solutions overlook another essence
of heatmap regression, the objective metric for regressing target heatmaps and rely on hand-
crafted heuristics to set the target precision, thus being usually cumbersome and task …
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