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README.md

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 This model is a Vision Transformer (ViT) based Multiple Instance Learning (MIL) framework designed for detecting breast cancer in whole slide images (WSI) of surgically removed breast tissue.
 
 ## 🏆 Institutional Achievement
-Developed as part of National HPC Supporting Program by AICA, Gwangju, s.Korea and also partly through National NPU Support Program by NIPA, Daegu, s. Korea where Elice Group Co., Ltd. in Seoul, s. Korea kindly provided A100 x 2 GPUs for the model training.  This model represents our commitment to reducing the manual workload of pathologists through high-performance AI.
+Developed as part of National HPC Supporting Program by AICA, Gwangju, s.Korea and also partly through 
+National NPU Support Program by NIPA, Jincheon, s. Korea where Elice Group Co., Ltd. in Seoul, s. Korea 
+kindly provided A100 x 2 GPUs for the model training.  
+This model represents our commitment to reducing the manual workload of pathologists through high-performance AI.
 
 ## 📊 Model Details
 - **Architecture:** ResNet50-Backbone with Attention-based MIL Aggregator