INBreast

Dataset Information

INBreast dataset includes 410 digital mammography images obtained from 115 patients, comprising 339 non-malignant and 71 malignant cases. The diagnostic task follows the BI-RADS assessment of masses to classify these mammography images into non-malignant and malignant categories. BloodCell dataset consists of 12,500 augmented images representing four subtypes of blood cells: Eosinophil, Lymphocyte, Monocyte, and Neutrophil. The objective of this dataset is to accurately identify the respective types of blood cells. NIH Chest X-ray 14 dataset contains 112,120 frontal-view chest X-ray images annotated with 14 common thoracic diseases. The task involves diagnosing the diseases present in each chest X-ray image.

Task: Binary-Class

Labels:

0: normal, 1: lesion

Samples:

• Train: 90
• Validation: 0
• Test: 25

Experiment Parameter

Learning Rate: 3e-4

Training Epoch:

Other Details: 5折 50/折