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Found 20 papers, 3 papers with code
Invariant Scattering Transform for Medical Imaging
This research article discusses scattering transform as the efficient system for medical image analysis where it's figured by scattering the signal information implemented in a deep convolutional network.
Online learning for X-ray, CT or MRI
Because of this, it is difficult for any professional to recognize a disease with rapidity and accuracy.
AutoML Systems For Medical Imaging
The integration of machine learning in medical image analysis can greatly enhance the quality of healthcare provided by physicians.
Case Studies on X-Ray Imaging, MRI and Nuclear Imaging
Therefore, we have considered CNN as our discussion area in this study to diagnose ailments using medical imaging technology.
Generative Adversarial Networks for Data Augmentation
One way to expand the available dataset for training AI models in the medical field is through the use of Generative Adversarial Networks (GANs) for data augmentation.
Active Learning on Medical Image
By incorporating active learning into the training process, medical imaging machine learning models can make more efficient use of the available labeled data, improving their accuracy and performance.
Introduction to Medical Imaging Informatics
Medical imaging informatics is a rapidly growing field that combines the principles of medical imaging and informatics to improve the acquisition, management, and interpretation of medical images.
Introduction of Medical Imaging Modalities
The diagnosis and treatment of various diseases had been expedited with the help of medical imaging.
Incongruity Detection between Bangla News Headline and Body Content through Graph Neural Network
Incongruity between news headlines and the body content is a common method of deception used to attract readers.
Brain Tumor Segmentation using Enhanced U-Net Model with Empirical Analysis
Cancer of the brain is deadly and requires careful surgical segmentation.
A Survey of Recommender System Techniques and the Ecommerce Domain
This paper reviews the different techniques and developments of recommender systems in e-commerce, e-tourism, e-resources, e-government, e-learning, and e-library.
The Prominence of Artificial Intelligence in COVID-19
This paper first details the background knowledge of the conventional methods in the Artificial Intelligence domain.
Bangla Image Caption Generation through CNN-Transformer based Encoder-Decoder Network
Automatic Image Captioning is the never-ending effort of creating syntactically and validating the accuracy of textual descriptions of an image in natural language with context.
Fine-Grained Image Generation from Bangla Text Description using Attentional Generative Adversarial Network
This framework has achieved a better inception score on the CUB dataset.
An Automated Approach for the Recognition of Bengali License Plates
Automatic Number Plate Recognition (ALPR) is a system for automatically identifying the license plates of any vehicle.
Real-time Bangla License Plate Recognition System for Low Resource Video-based Applications
We trained our models on the image dataset and achieved an AP(0. 5) score of 86% and tested our pipeline on the video dataset and observed reasonable detection and recognition performance (82. 7% detection rate, and 60. 8% OCR F1 score) with real-time processing speed (27. 2 frames per second).
License Plate Recognition
Optical Character Recognition (OCR)
Real-Time Face Recognition System for Remote Employee Tracking
We have been testing this system experimentally for our office.
End-to-End Natural Language Understanding Pipeline for Bangla Conversational Agents
In this paper, we propose a novel approach to build a Bangla chatbot aimed to be used as a business assistant which can communicate in low-resource languages like Bangla and Bangla Transliteration in English with high confidence consistently.
A Comparative Analysis on Bangla Handwritten Digit Recognition with Data Augmentation and Non-Augmentation Process
To improve the performance of the Bangla handwritten digit recognition system, we have designed a model, in which all basic Bangla digits have been classified.
Brain Tumor Detection using Convolutional Neural Network
In this paper, we proposed a method to extract brain tumor from 2D Magnetic Resonance brain Images (MRI) by Fuzzy C-Means clustering algorithm which was followed by traditional classifiers and convolutional neural network.
