Classification and segmentation of kidney MRI images for chronic kidney disease detection by Md. Sakib Bin Islam (20494559)

“…Utilizing the Zenodo dataset comprising 1299 kidney MRI images from 100 T2-weighted abdomen MRI scans, our investigation reveals that Vision Transformers (ViT) based model EfficientNet_b1 exhibited superior performance compared to other models. …”

Mitigating the impact of cultural diversity on the innovation process in the private sector in Dubai by HAJI, HASSAN

“…The workforce therefore is comprised of people with different backgrounds and hence an understanding for the variety of cultures is important for managers and entrepreneurs in private sectors as noted by the write (2016). …”
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Artificial Intelligence–Based Methods for Integrating Local and Global Features for Brain Cancer Imaging: Scoping Review by Hazrat Ali (421019)

“…<h3>Background</h3><p dir="ltr">Transformer-based models are gaining popularity in medical imaging and cancer imaging applications. Many recent studies have demonstrated the use of transformer-based models for brain cancer imaging applications such as diagnosis and tumor segmentation.…”

Microwave brain imaging system to detect brain tumor using metamaterial loaded stacked antenna array by Amran Hossain (570706)

“…After that, the scattering parameters are collected, analyzed, and then processed by the Iteratively Corrected delay-multiply-and-sum algorithm to detect and reconstruct the brain tumor images. …”

Enhancing waste sorting and recycling efficiency: robust deep learning-based approach for classification and detection by Faizul Rakib Sayem (21399890)

“…In this paper, we present robust waste image classification and object detection studies using deep learning models, utilizing 28 distinct recyclable categories of waste images comprising a total of 10,406 images. …”

A Hybrid Transfer Learning Approach to Teeth Diagnosis Using Orthopantomogram Radiographs by Alabd-Aljabar, Ahmed

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Deep learning and vision transformers-based framework for breast cancer and subtype identification by Ishrat Jahan (5782163)

“…This study utilizes a deep learning framework for advanced, automatic breast cancer detection and subtype identification. The framework comprises three key components: detecting cancerous patches, identifying cancer subtypes (ductal and lobular carcinoma), and predicting patient-level outcomes from whole slide images (WSI). …”

Correcting Susceptibility Artifacts of MRI Sensors in Brain Scanning: A 3D Anatomy-Guided Deep Learning Approach by Soan T. M. Duong (18460599)

“…The fast inference speed (less than a second) of TS-Net makes real-time SAC during EPI image acquisition feasible and accelerates the medical image-processing pipelines.…”

A Deep Learning Framework for the Classification of Brazilian Coins by Acharya, Biswaranjan

“…Our framework employs a multi-stage approach for coin classification. First, a pre-processing module handles coin localization and image enhancement to mitigate variations in lighting and background. …”
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Self-ChakmaNet: A deep learning framework for indigenous language learning using handwritten characters by Kanchon Kanti, Podder

“…It reports the first “Handwriting Character Dataset” of Chakma containing 47,000 images of 47 characters of Chakma language using the app. …”
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A Novel Deep Learning and Ensemble Learning Mechanism for Delta-Type COVID-19 Detection by Habib Ullah Khan (12024579)

“…To address these issues, the proposed research study presents a hybrid deep learning model for the accurate diagnosing of Delta-type COVID-19 infection using X-ray images. This hybrid model comprises visual geometry group 16 (VGG16) and a support vector machine (SVM), where the VGG16 is accustomed to the identification process, while the SVM is used for the severity-based analysis of the infected people. …”