HIGHLIGHTS
- who: August and collaborators from the Fudan University, China have published the research: Automatic quantifying and monitoring follow-ups for implantable collamer lens implantation using AS-OCT images, in the Journal: (JOURNAL)
- what: In this study, a more simplified and efficient method was introduced.
- how: For network implementation the authors used the Pytorch platform with an Nvidia GeForce RTX 3090 GPU. Compared with previous models the numerical results showed that the U -Net-based method outperformed the Deep Label V3+ and ReLayNet models (Supplementary Table S2) especially in recognizing the corneoscleral. following measurements . . .
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