Fine‐Tuned DenseNet‐169 for Breast Cancer Metastasis Prediction Using FastAI and 1‐Cycle Policy

Fine‐Tuned DenseNet‐169 for Breast Cancer Metastasis Prediction Using FastAI and 1‐Cycle Policy

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Lymph node metastasis in breast cancer may be accurately predicted using a DenseNet‐ 169 model. However, the current system for identifying metastases in a lymph node is manual and tedious. A pathologist well‐versed with the process of detection and characterization of lymph nodes goes through hours...

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Bibliographic Details
Main Authors: Choi, J. (Author), Ijaz, M.F (Author), Sashank, M.S.K (Author), Shafi, J. (Author), Srinivasu, P.N (Author), Vulli, A. (Author)
Format: Article
Language:English
Published: MDPI 2022
Subjects:
1‐cycle policy
Breast Cancer
cancer
Cancer metastasis
computational histopathology
Computational histopathology
Densenet‐169
DenseNet‐169
Diagnostic odd ratio
diagnostic odds ratio
Diseases
Fastai
FastAI
Image enhancement
Lymph node
lymph nodes
Medical imaging
Odd ratios
Pathology
Whole slide images
whole‐slide images
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