Universiti Teknologi Malaysia Institutional Repository

Deep learning layer convolutional neural network (CNN) scheme for cancer image

Zainudin, Z. and Shamsuddin, S. M. and Hasan, S. (2019) Deep learning layer convolutional neural network (CNN) scheme for cancer image. In: Joint Conference on Green Engineering Technology & Applied Computing 2019, 4-5 Feb 2019, Eastin Hotel Makkasan, Bangkok, Thailand.


Official URL: http://www.dx.doi.org/10.1088/1757-899X/551/1/0120...


Recent years, in medical image especially cancer detection used whole slide digital scanners, called as histopathology image (images of tissues and cell) where it can now be keep in digital images. Consequently, using Deep Learning will help pathologist in cancer detection (cancer cell known as mitosis). In this paper, we are using Deep Learning Layer Convolutional Neural Network (CNN) for cancer classification using histopathology image and used AMIDA dataset which are related on female breast cancer dataset. Mitosis is an important parameter for the prognosis/diagnosis of breast cancer. However, using histopathology image for cancer detection is a challenging problem that needs a deeper investigations. This problem occurs when to classify mitosis because mitosis is small objects with a large variety of shapes, and they can thus be easily confused with some other objects or artefacts present in the image. In this paper, the objective to find the suitable layer for Deep Learning Convolutional Neural Network and reduce the loss rate.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:cancer, mitosis, pathologist
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
ID Code:91359
Deposited By: Narimah Nawil
Deposited On:30 Jun 2021 20:08
Last Modified:30 Jun 2021 20:08

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