edit README.md

README.md

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 ## Introduction
 **EXAONE Path for CRCMSI** is an **enhanced whole-slide image (WSI) classification framework** that retains the core architecture of EXAONE Path 1.5 while upgrading its internals for greater efficiency and richer multimodal integration.
  
-The pipeline still unfolds in two stages:
- 
-1. **Patch-wise feature extraction** – Each WSI is tiled into 256 × 256 px patches, which are embedded into 768-dimensional vectors using the frozen **[EXAONE Path v1.0](https://huggingface.co/LGAI-EXAONE/EXAONEPath)** encoder.
-2. **Slide-level aggregation** – The patch embeddings are aggregated using a Vision Transformer, producing a unified slide-level representation that a lightweight classification head transforms into task-specific probabilities.
+The pipeline still unfolds in two stages:  
+
+1. **Patch-wise feature extraction** – Each WSI is tiled into 256 × 256 px patches, which are embedded into 768-dimensional vectors using the frozen **[EXAONE Path v1.0](https://huggingface.co/LGAI-EXAONE/EXAONEPath)** encoder.  
+2. **Slide-level aggregation** – The patch embeddings are aggregated using a Vision Transformer, producing a unified slide-level representation that a lightweight classification head transforms into task-specific probabilities.  
  
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