With the advancement of the times and the development of technology, we are now at a critical juncture for the growth of the intelligent pathology industry. The continuous progress of the "four modernizations" in the pathology industry, the localization of digital pathology equipment, the accumulation of pathological data, the exploration of various flexible business models by enterprises, and the continuous reduction of storage costs under Moore's Law, all provide support for the further development and maturity of intelligent pathology. Its integrated intelligent assistant diagnosis in pathology represents the core essence of Next-generation Diagnostic Pathology (NGDP). Only through effective management and storage of underlying data can we provide further impetus for the development of intelligent pathology.
Currently, the issue of data represents the biggest barrier limiting the development of the current pathology AI industry. The development of pathology AI software algorithm models requires a vast amount of high-quality training data. However, the data in the pathology AI industry faces dual challenges in terms of both quality and quantity, making it difficult to obtain sufficient amounts of high-quality training data. In order to effectively manage this data and provide data support for front-end operations, fulfilling the demand for data storage, digital pathology images need to be stored according to certain rules to facilitate subsequent access, processing, and analysis by the business. Object storage, which satisfies functions such as image retrieval, filtering, comparison, and archiving, can provide robust support for the storage and management of digital pathology images. Furthermore, with object storage, after digitizing the slices, the physical slices can be permanently stored in the form of digital images.
Protect sensitive data from attacks, lossless data compression, and deduplication.
Ultimate data retrieval response with billions of objects, millisecond response time, high-speed cache pool, overall speedup for small file writing performance, supporting instant access to data on demand for quick retrieval.
Allows data to be written once and then read many times.