Breast cancer detection based on simplified deep learning technique with histopathological image using BreaKHis database

Breast cancer detection based on simplified deep learning technique with histopathological image using BreaKHis database

Presented here are the results of an investigation conducted to determine the effectiveness of deep learning (DL)-based systems utilizing the power of transfer learning for detecting breast cancer in histopathological images. It is shown that DL models that are not specifically developed for breast...

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Bibliographic Details
Main Authors: Toma, Tania Afroz, Biswas, Shivazi, Miah, Md Sipon, Alibakhshikenari, Mohammad, Virdee, Bal Singh, Fernando, Sandra, Rahman, Md Habibur, Ali, Syed Mansoor, Arpanaei, Farhad, Hossain, Mohammad Amzad, Rahman, Md Mahbubur, Niu, Ming-bo, Parchin, Naser Ojaroudi, Livreri, Patrizia
Format: Article
Language:English
Published: Wiley, American Geophysical Union (AGU) 2023
Subjects:
000 Computer science, information & general works
600 Technology
620 Engineering & allied operations
Online Access:https://repository.londonmet.ac.uk/8912/1/Radio%20Science%20-%202023%20-%20Toma%20-%20Breast%20Cancer%20Detection%20Based%20on%20Simplified%20Deep%20Learning%20Technique%20With%20Histopathological.pdf
https://doi.org/10.1029/2023RS007761

Internet

https://repository.londonmet.ac.uk/8912/1/Radio%20Science%20-%202023%20-%20Toma%20-%20Breast%20Cancer%20Detection%20Based%20on%20Simplified%20Deep%20Learning%20Technique%20With%20Histopathological.pdf
https://doi.org/10.1029/2023RS007761

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