RESEARCH PROGRESS OF DEEP LEARNING IN BLADDER CANCER PATHOLOGY

Research Progress of Deep Learning in Bladder Cancer Pathology

The incidence of bladder cancer is increasing annually, and the gold standard for its diagnosis relies on Countertop Oven histopathological biopsy.Whole-slide digitization technology can produce thousands of high-resolution captured pathological images and has greatly promoted the development of digital pathology.Deep learning, as a new method of a

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Long-pulse high heat flux testing of tungsten monoblock target mock-ups for investigation of creep fatigue interaction

Divertor components for ITER and even beyond will be subjected to cyclic steady state heat loads with a duration of several minutes to hours, repeatedly occurring slow transients during reattachment or ramp-up and down, as well as heat loads during ELMs applying a combination of low cycle fatigue and creep as well as high cycle fatigue via thermal

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