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9 papers · 1 filter
LLaMA-XR: A Novel Framework for Radiology Report Generation using LLaMA and QLoRA Fine Tuning
Md. Zihad Bin Jahangir, Muhammad Ashad Kabir, Sumaiya Akter +2
Automated radiology report generation holds significant potential to reduce radiologists' workload and enhance diagnostic accuracy. However, generating precise and clinically meani…
Deep Learning for Size and Microscope Feature Extraction and Classification in Oral Cancer: Enhanced Convolution Neural Network
Prakrit Joshi, Omar Hisham Alsadoon, Abeer Alsadoon +4
Background and Aim: Over-fitting issue has been the reason behind deep learning technology not being successfully implemented in oral cancer images classification. The aims of this…
Deep Learning Neural Network for Lung Cancer Classification: Enhanced Optimization Function
Bhoj Raj Pandit, Abeer Alsadoon, P. W. C. Prasad +4
Background and Purpose: Convolutional neural network is widely used for image recognition in the medical area at nowadays. However, overall accuracy in predicting lung tumor is low…
Deep Learning for Breast Cancer Classification: Enhanced Tangent Function
Ashu Thapa, Abeer Alsadoon, P. W. C. Prasad +5
Background and Aim: Recently, deep learning using convolutional neural network has been used successfully to classify the images of breast cells accurately. However, the accuracy o…
Human-Machine Collaborative Video Coding Through Cuboidal Partitioning
Ashek Ahmmed, Manoranjan Paul, Manzur Murshed +1
Video coding algorithms encode and decode an entire video frame while feature coding techniques only preserve and communicate the most critical information needed for a given appli…
ECOVNet: An Ensemble of Deep Convolutional Neural Networks Based on EfficientNet to Detect COVID-19 From Chest X-rays
Nihad Karim Chowdhury, Muhammad Ashad Kabir, Md. Muhtadir Rahman +1
This paper proposed an ensemble of deep convolutional neural networks (CNN) based on EfficientNet, named ECOVNet, to detect COVID-19 using a large chest X-ray data set. At first, t…