Výsledky vyhledávání - "Sadia Sultana Chowa"

Akademický článek

Enhancing Autism Spectrum Disorder Classification with Lightweight Quantized CNNs and Federated Learning on ABIDE-1 Dataset

Autor: Simran Gupta, Md. Rahad Islam Bhuiyan, Sadia Sultana Chowa, Sidratul Montaha, Rashik Rahman, Sk. Tanzir Mehedi, Ziaur Rahman

Publikováno v: Mathematics, Vol 12, Iss 18, p 2886 (2024)

Autism spectrum disorder (ASD) is a complex neurodevelopmental condition that presents significant diagnostic challenges due to its varied symptoms and nature. This study aims to improve ASD classification using advanced deep learning techniques appl

Externí odkaz: https://doaj.org/article/58db359fbaa042738a74b348599988b4

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Akademický článek

Malignancy pattern analysis of breast ultrasound images using clinical features and a graph convolutional network

Autor: Sidratul Montaha, Sami Azam, Md. Rahad Islam Bhuiyan, Sadia Sultana Chowa, Md. Saddam Hossain Mukta, Mirjam Jonkman

Publikováno v: Digital Health, Vol 10 (2024)

Objective Early diagnosis of breast cancer can lead to effective treatment, possibly increase long-term survival rates, and improve quality of life. The objective of this study is to present an automated analysis and classification system for breast

Externí odkaz: https://doaj.org/article/635d21744dae421f9e183600577623d4

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Akademický článek

Automated breast tumor ultrasound image segmentation with hybrid UNet and classification using fine-tuned CNN model

Autor: Shahed Hossain, Sami Azam, Sidratul Montaha, Asif Karim, Sadia Sultana Chowa, Chaity Mondol, Md Zahid Hasan, Mirjam Jonkman

Publikováno v: Heliyon, Vol 9, Iss 11, Pp e21369- (2023)

Introduction: Breast cancer stands as the second most deadly form of cancer among women worldwide. Early diagnosis and treatment can significantly mitigate mortality rates. Purpose: The study aims to classify breast ultrasound images into benign and

Externí odkaz: https://doaj.org/article/9cdf3b0bec8e4a6dbc49c6a72276d260

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Akademický článek

Enhancing Autism Spectrum Disorder Classification with Lightweight Quantized CNNs and Federated Learning on ABIDE-1 Dataset.

Autor: Gupta, Simran¹ (AUTHOR) simrangupta0824@gmail.com, Bhuiyan, Md. Rahad Islam² (AUTHOR) rahad15-3623@diu.edu.bd, Chowa, Sadia Sultana² (AUTHOR) sadia15-3052@diu.edu.bd, Montaha, Sidratul³ (AUTHOR) sidratul.montaha@ucalgary.ca, Rahman, Rashik³ (AUTHOR) rashik.rahman@ucalgary.ca, Mehedi, Sk. Tanzir⁴ (AUTHOR) s.tanzir@qut.edu.au, Rahman, Ziaur⁴ (AUTHOR) rashik.rahman@ucalgary.ca

Publikováno v: Mathematics (2227-7390). Sep2024, Vol. 12 Issue 18, p2886. 28p.

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