Optimization of artificial neural network structure and hyperparameters in hybrid model by genetic algorithm: iOS–android application for breast cancer diagnosis/prediction-Reference-Cited by-同舟云学术

Optimization of artificial neural network structure and hyperparameters in hybrid model by genetic algorithm: iOS–android application for breast cancer diagnosis/prediction

Published:2023-09-14 Issue: Volume: Page:
ISSN:0920-8542
Container-title:The Journal of Supercomputing
language:en
Short-container-title:J Supercomput

Author:

Bülbül Mehmet Akif

Publisher

Springer Science and Business Media LLC

Subject

Hardware and Architecture,Information Systems,Theoretical Computer Science,Software

Link

https://link.springer.com/content/pdf/10.1007/s11227-023-05635-z.pdf

Reference39 articles.

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2. Kayikci S, Khoshgoftaar TM (2023) Breast cancer prediction using gated attentive multimodal deep learning. J Big Data 10(1):1–11

3. Łuczyńska E, Pawlak M, Popiela T, Rudnicki W (2022) The role of ABUS in the diagnosis of breast cancer. J Ultrasonogr 22(89):76–85

4. Elbaiomy M, Akl T, Atwan N, Elsayed AA, Elzaafarany M, Shamaa S (2020) Clinical impact of breast cancer stem cells in metastatic breast cancer patients. J Oncol 2020

5. Lin R-H, Kujabi BK, Chuang C-L, Lin C-S, Chiu C-J (2022) Application of deep learning to construct breast cancer diagnosis model. Appl Sci 12(4):1957

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