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Results for “"Sadia Islam Niha"”

7 results

Deep learning for medical image segmentation: State-of-the-art advancements and challenges

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Md. Eshmam Rayed, S. M. Sajibul Islam, Sadia Islam Niha, Jamin Rahman Jim et al.

Journal: Informatics in Medicine UnlockedYear: 2024Citations: 277

Image segmentation, a crucial process of dividing images into distinct parts or objects, has witnessed remarkable advancements with the emergence of deep learning (DL) techniques. The use of layers in deep neural networks, like object form recognition in higher layers and basic edge identification i...

Physical SciencesComputer ScienceComputer Vision and Pattern RecognitionOpen Access
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A vision transformer-based approach for recognizing seven prevalent mango leaf diseases

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Md. Eshmam Rayed, Abdullah-Al-Akib, Nazia Alfaz, Sadia Islam Niha et al.

Year: 2023Citations: 4

Plant diseases, particularly affecting fruit crops, pose a significant challenge to the worldwide supply of fresh food due to their direct impact on the quality of fruits, resulting in an overall decline in agricultural production. The traditional approach of detecting leaf diseases in fruit plants ...

Life SciencesAgricultural and Biological SciencesPlant Science
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KbFL-XAI: Explainable knowledge-based federated learning for eye disease diagnosis

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Mahamodul Hasan Mahadi, Md. Nasif Safwan, Sadia Islam Niha, Souhardo Rahman et al.

Journal: Biomedical Engineering AdvancesYear: 2025Citations: 2

Eye diseases such as cataracts, glaucoma, macular degeneration, and diabetic retinopathy significantly impair vision and quality of life, particularly in aging populations, and pose substantial socio-economic challenges. Accurate and timely diagnosis is crucial for mitigating their impact. Deep lear...

Health SciencesMedicineRadiology, Nuclear Medicine and ImagingOpen Access
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Optimizing Breast Cancer Diagnosis with VGG16 and CNN: An XAI Approach Using Saliency Maps

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Sadia Islam Niha, Mahamodul Hasan Mahadi, Firoz Ahmed

Year: 2025Citations: 1

Breast cancer remains one of the most prevalent malignancies among women worldwide. Early detection is crucial for improving treatment outcomes, and deep learning techniques, particularly Convolutional Neural Networks (CNN), have demonstrated significant potential in medical imaging analysis. In thi...

Physical SciencesComputer ScienceArtificial Intelligence
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The Response of Selected Potato Varieties to Different Levels of Vermicompost in Bangaladesh

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Md. Aynul Haque, Tuhin Suvra Roy, Mahirul Islam Biswas, M. A. Mannan et al.

Journal: Asian Plant Research JournalYear: 2025

This study investigates the impact of five levels of vermicompost application on the yield and quality of various potato varieties at Sher-e-Bangla Agricultural University in Bangladesh. The experiment was conducted following a two-factor split-plot design with three replications and four potato var...

Life SciencesAgricultural and Biological SciencesSoil ScienceOpen Access
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Evaluating Code Clone Detection and Management: A Comprehensive Comparison among different Techniques and Tools along with some Effective Future Directions

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S Sneha, Sadia Islam Niha, Md. Manzurul Hasan

Year: 2024

In today's software development, Code copying is a major issue in that adds to the workload and can degrade products.The best methods for identifying and dealing with copied code are examined in this study.We initially start by defining code copying, outlining the many types of copied code, and disc...

Physical SciencesComputer ScienceInformation SystemsOpen Access
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Application of Rapid Biological Indicators Coupled With Auto-Reader for the Quality Assurance of Surgical Instruments After Sterilization at a Cardiac Hospital in Bangladesh

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Sifat Uz Zaman, Israt Sadia, Nawzia Yasmin, Kamrun Nahar Islam et al.

Journal: CureusYear: 2021

Sterilization failure is one of the main reasons for surgical site infections (SSIs). The biological indicator (BI) test is the most reliable test to check sterilization efficiencies. But 48 hours BI test result makes the monitoring process time-consuming. Rapid BI testing can be time demanding in t...

Life SciencesImmunology and MicrobiologyMicrobiologyOpen Access
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