Histopathological Digital Image Dataset of Upper Aero Digestive Tract Tumor

The UADT tumor dataset is sourced from the Department of Pathology at Government Medical College Hospital in Vellore, Tamil Nadu, India. Reference number 2941/ MEI (2)/ 2018, Government Order No. 1258/ Health & Family Welfare (MCA3). Following the removal of 217 samples from various tumors due to poor staining, improper waxing, and corrupted image quality (blur, water blob artifact, and fractured tissue sample) the dataset comprises 1,471 biopsy slide images obtained from a retrospective investigation involving 20 Indian patient biopsy slides from the pathology department. The data samples contain Haematoxylin and Eosin-stained microscopic images from both small and large biopsies, totalling 1,471 images. The digital images of the biopsy slides were obtained using three distinct magnifications: scanner, low power, and high power. The collection includes scanner view Whole Slide Images (WSI), Low Power view at 10X magnification, and High-Power view at 40X magnification. The digital images were recorded at a resolution of 640 × 480. The images were taken using a 5.1megapixel camera connected to the light microscope. The dataset comprises various classifications of UADT biopsy images, including inflammatory, no evidence of malignancy, insitu, mild dysplasia, moderate dysplasia, severe dysplasia, Basaloid Squamous cell carcinoma (BSCC), well-differentiated squamous cell carcinoma (WDSCC), moderately differentiated squamous cell carcinoma (MDSCC), and poorly differentiated squamous cell carcinoma (PDSCC). This dataset was collected to support digital and AI-based solutions for glass slide analysis, including artifact management, slide quality enhancement, automated extraction of epithelial tissue and intercellular bridges, detection of cell and nucleus shapes to assess tumor normality and spread, identification of cell overlap and necrosis, contrast enhancement and background separation, and detection of staining artifacts collectively aiming to minimize interobserver variability and reduce glass slide review time.