One paper has been accepted in Computer Methods and Programs in Biomedicine (IF = 6.1)

We are pleased to announce that our paper titled “DAX-Net: A Dual-Branch Dual-Task Adaptive Cross-Weight Feature Fusion Network for Robust Multi-Class Cancer Classification in Pathology Images” has been accepted in Computer Methods and Programs in Biomedicine (IF = 6.1).

This is the study I conducted during my pursuit of a master’s degree under the supervision of Prof. Jin Tae Kwak.

The code, manuscript, and datasets will be released soon!