Refined prognostication of pathological complete response in breast cancer using radiomic features and optimized InceptionV3 with DCE-MRI

Refined prognostication of pathological complete response in breast cancer using radiomic features and optimized InceptionV3 with DCE-MRI

Abstract Background Neoadjuvant therapy plays a pivotal role in breast cancer treatment, particularly for patients aiming to conserve their breast by reducing tumor size pre-surgery. The ultimate goal of this treatment is achieving a pathologic complete response (pCR), which signifies the complete e...

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Bibliographic Details
Main Authors: Satyabrata Pattanayak, Tripty Singh, Rishabh Kumar
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Breast cancer
pCR
Deep learning
Inception V3
Image analytics
MCC
Online Access:https://doi.org/10.1038/s41598-025-08565-3
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https://doi.org/10.1038/s41598-025-08565-3

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