LungHist700: A Dataset of Histological Images for Deep Learning in Pulmonary Pathology

We present a comprehensive dataset of 691 histopathological images of the lungs, encompassing three categories: adenocarcinomas, squamous cell carcinomas, and normal lung tissues from 45 patients. These images are of high resolution (1200x1600 pixels) and are subdivided into three levels of differentiation for both pathological sets: well differentiated, moderately differentiated, and poorly differentiated. This provides a total of seven classes for classification purposes. A significant portion of the images are at 20x magnification, while others are at 40x magnification, reflecting the diversity of histopathological samples encountered in real clinical practice.