Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Takowa Rahman"'
Publikováno v:
Digital, Vol 4, Iss 3, Pp 529-554 (2024)
Brain tumors are frequently classified with high accuracy using convolutional neural networks (CNNs) to better comprehend the spatial connections among pixels in complex pictures. Due to their tiny receptive fields, the majority of deep convolutional
Externí odkaz:
https://doaj.org/article/4f680d2a6f7a4b8981c92aecfe17836d
Autor:
Takowa Rahman, Md Saiful Islam
Publikováno v:
Measurement: Sensors, Vol 26, Iss , Pp 100694- (2023)
Convolutional neural network (CNN) is widely used to classify brain tumors with high accuracy. Since CNN collects features randomly without knowing the local and global features and causes overfitting problems, this research proposes a novel parallel
Externí odkaz:
https://doaj.org/article/c529dbed72cf4f3bb6a3fda59e486aa7
Autor:
Takowa Rahman, Md. Saiful Islam
Publikováno v:
2022 International Conference on Innovations in Science, Engineering and Technology (ICISET).
Autor:
Takowa Rahman, Md. Saiful Islam
Publikováno v:
2021 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD).
The purpose of segmentation is to depict an original picture in something easier to interpret. Generally, in image processing watershed algorithm is used essentially for segmentation purposes which is fast and simple method and requires low computati