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EfficientNet Based Detection of Lung Cancer Based on Histopathological Image

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Lung cancer is the most malignant tumor with the highest mortality in the world. Early
diagnosis and prognosis are important to improve the patient’s survival rate. With AI, screening which
is one of the methods of detection is more sensitive and accurate allowing better analysis. This will in
turn assist medical professionals in their line of work and improve the medical field overall. This
research will explore a deep learning based on convolutional neural network (CNN), You Only Look
Once (Yolo)’s Yolo5, LeNet5, as well as a transfer learning method using four EfficientNet models
including EfficientNetB0, EfficientNetB1, EfficientNetB2, and EfficietNetB3.

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Availability

Detail Information

Series Title

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Call Number

EP BI-002

Publisher

i3L, Jakarta : i3L, Jakarta., 2024

Collation

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Language

English

ISBN/ISSN

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Classification

EP BI-002

Content Type

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Media Type

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Carrier Type

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Edition

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Subject(s)

CNN
lung cancer

Specific Detail Info

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Statement of Responsibility

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