基於深度學習方法的全血細胞計數估計

Estimation of Complete Blood Count Based on Deep Learning Method

陳芊樺(Cian-Hua Chen)

指導教授 ： 李昕潔

國立交通大學/管理學院/科技管理研究所/碩士(2020年)

摘要

全血細胞技術在醫療檢查中是相當基礎且重要的一環，它可以提供醫生病人的基本身體狀況資訊以便進一步醫療診斷的進行。隨著深度學習的發展，漸漸有人將它運用於醫學領域中。本文將會提供一個基於深度學習CNN的方法進行血球細胞偵測，並評估該模型於全血細胞計數的效果。

關鍵字

全血細胞計數 ； 深度學習 ； 卷積神經網路

並列摘要

Complete blood count is a fundamental and important test in medical field. It can provide basic information about patient to doctors. With the developing of deep learning, it can be used in medical field. The paper will provide and evaluate a method based on CNN for complete blood count topic.

並列關鍵字

Complete Blood Count ； Deep Learning ； CNN

參考文獻

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