Revise README for project title and description

Updated project title and description for clarity.

README.md

@@ -17,9 +17,9 @@
 
 # WSAttention-Prostate
 
-**Weakly-supervised attention-based 3D Multiple Instance Learning for prostate cancer risk prediction on multiparametric MRI.**
+**Weakly-Supervised Attention-based 3D Multiple Instance Learning for Prostate Cancer Characterization on Bi-parametric MRI.**
 
-WSAttention-Prostate is a two-stage deep learning pipeline that predicts clinically significant prostate cancer (csPCa) risk from T2-weighted, DWI, and ADC MRI sequences. It uses 3D patch-based Multiple Instance Learning with transformer attention to first classify PI-RADS scores, then predict csPCa risk — all without requiring lesion-level annotations.
+WSAttention-Prostate is a two-stage deep learning pipeline that predicts clinically significant prostate cancer (csPCa) risk and PI-RADS score (2 to 5) from T2-weighted, DWI, and ADC MRI sequences. It uses 3D patch-based Multiple Instance Learning with transformer attention to first classify PI-RADS scores, then predict csPCa risk — all without requiring lesion-level annotations.
 
 ## Key Features