IDENTIFICATION AND CLASSIFICATION OF CANCER CELLS USING CAPSULE NETWORK WITH PATHOLOGICAL IMAGES

Pasumpon Pandian Dr
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引用次数: 45

Abstract

Cancer is a deadly disease that is costing the lives of many people. Over 9.6 million death is reported in 2018 due to cancer. We propose an ideal methodology to identify and classify cancer cells using pathological images with the help of capsule network. Capsule network’s capability to learn patterns based on previous iterations can be exploited for this purpose. This can help in identification of cancer at early stages and work at the root cause of the disease and walk towards completely shutting down the disease. Image processing is done along with fuzzification and further, it is handled with capsule network classifier and analysed.
利用病理图像的胶囊网络识别和分类癌细胞
癌症是一种夺去许多人生命的致命疾病。据报道,2018年有960多万人死于癌症。我们提出了一种理想的方法来识别和分类癌细胞利用病理图像与胶囊网络的帮助。Capsule网络基于先前迭代学习模式的能力可以用于此目的。这有助于在早期阶段识别癌症,并从疾病的根本原因着手,朝着完全消灭疾病的方向迈进。对图像进行模糊化处理,并用胶囊网络分类器对其进行处理和分析。
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