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Sep 2026

An Enhanced Convolution Transformer With Ladder Self‐Attention for Breast Cancer Histopathological Image Classification and Recurrence Prediction

The most common cancer that kills women worldwide is breast cancer. Early detection of breast cancer and the prediction of recurrence is essential for diagnosis because metastasis and recurrence account for the majority of cancer‐related deaths. Images from the BreakHis dataset are gathered because physicians frequentl...

Shivani Agarwal, Sachi Gupta, A. Rai et al. · 0 citations
Open access Aug 2026

Uncertainty Gated Residual Learning with Patient Level Bagging for Longitudinal Glioma Progression Prediction

Precise prediction of tumor progression between successive post treatment MRI scans could support timely clinical decision making in glioma management. However longitudinal radiomic modeling is still challenged by patient level data leakage and uncertainty in prediction. The study of two stage machine learning pipeline...

A. Rai · 0 citations

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