Improved DeTraC Binary Coyote Net‐Based Multiple Instance Learning for Predicting Lymph Node Metastasis of Breast Cancer From Whole‐Slide Pathological Images

ABSTRACT Background Early detection of lymph node metastasis in breast cancer is vital for improving treatment outcomes and prognosis. Methods This study introduces an Improved Decompose, Transfer, and Compose Binary Coyote Net‐based Multiple Instance Learning (ImDeTraC‐BCNet‐MIL) method for predict...

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Veröffentlicht in:	The international journal of medical robotics + computer assisted surgery 2024-12, Vol.20 (6), p.e70009-n/a
Hauptverfasser:	Ramkumar, M., Sarath Kumar, R., Padmapriya, R., Balu Mahandiran, S.
Format:	Artikel
Sprache:	eng
Schlagworte:	Breast cancer Clustering deep convolutional neural network histopathological image analysis Learning lymph node metastasis Lymphatic system Metastasis multiple instance learning whole slide images
Online-Zugang:	Volltext
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