Rapid and reliable pathological evaluation is made possible in large part by the automatic detection of liver histological abnormalities. Using YOLOv11 on the Roboflow Liver Disease public dataset, this work aims to maximize precision in the detection of four lesions: ballooning, fibrosis, inflammation, and steatosis. After pre-processing the data with a 640×640 resize, the model was trained u…