Pinned Repositories
Mobile-Health-Game
30DayOfFlutter-app
AEs
arbtt-plot
Plot graphs from arbtt-stats
continuous-authentication-anomaly-detection
Using CNNs to detect users through gyroscope data
GCNs
PatchGraphNet: Classify medical images using graph neural networks (GNNs) by following a pipeline that involves clustering, graph construction, graph learning, and graph classification.
LambdaGPTPaperSummeriser
This project is designed to automate the process of saving, summarizing, and re-uploading academic papers from the internet to a Notion database. It combines the use of Notion Scraper, AWS Lambda, and ChatGPT to achieve this automation.
Penumothroax-Semgntatoin---Undergrad-Dissertation
Neural Networks have revolutionised the healthcare industry by introducing Deep Learning models that reach human-level accuracy. In this work, a pipeline implementation is explored that tries to enhance the accuracy of Deep Learning models in the detection and segmentation of pneumothorax from a set of chest radiographs. This is done in the hopes of facilitating future applications in the medical field. By cascading a CNN and a U-Net, we ensure that the CNN will filter out all the cases with no pathology, i.e.’Normal’ cases, leaving the U-Net (trained on positive cases only) to focus on arranging a set of filters for the separation of pathology from the infected lungs. The models are cross validated on the same data to ensure consistency. The proposed method demonstrates higher accuracy in both segmenting and detecting the pathology. By implementing it with more complex architectures and integrating in the domain knowledge of radiologists, this methods can be applied in conjunction with other applications to rapidly triage and prioritise cases for the presence of anomalies.
SwinCup
SwinCup Pytorch implementation of SwinCup: Cascaded Swin Transformer for Histopathological Structures Segmentation in Colorectal Cancer
usama13o's Repositories
usama13o/Penumothroax-Semgntatoin---Undergrad-Dissertation
Neural Networks have revolutionised the healthcare industry by introducing Deep Learning models that reach human-level accuracy. In this work, a pipeline implementation is explored that tries to enhance the accuracy of Deep Learning models in the detection and segmentation of pneumothorax from a set of chest radiographs. This is done in the hopes of facilitating future applications in the medical field. By cascading a CNN and a U-Net, we ensure that the CNN will filter out all the cases with no pathology, i.e.’Normal’ cases, leaving the U-Net (trained on positive cases only) to focus on arranging a set of filters for the separation of pathology from the infected lungs. The models are cross validated on the same data to ensure consistency. The proposed method demonstrates higher accuracy in both segmenting and detecting the pathology. By implementing it with more complex architectures and integrating in the domain knowledge of radiologists, this methods can be applied in conjunction with other applications to rapidly triage and prioritise cases for the presence of anomalies.
usama13o/BookStore
Using python's Tkinter to create a Desktop application that can store book titles and auther's in a database and retrieve them
usama13o/client
🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.
usama13o/dwm-from-gdm
Run the fantastic dwm window manager from the wretched gdm display manager
usama13o/fastai
The fastai deep learning library, plus lessons and tutorials
usama13o/learning-spring-framwork-from-Spring-Boot-Quick-Star-by-java-brains
usama13o/Motion_detect_using-_Python
usama13o/Multi-task-deep-network
Usage of Multi-task deep learning network for semantic segmentation in medical images
usama13o/opencv
Open Source Computer Vision Library
usama13o/OpenCv_testIng-
Testing openCv using python to resize images
usama13o/Tkinter_desktopGUI
Trying Tkinter for PC desktop application
usama13o/VideoCap
Face Tracking using openCv and python to detect faces and process them into a threshold
usama13o/Wallpaper-App
Using flutter to create a wallpaper app
usama13o/Web-Crawller
Using beautiful Soup python liberary to crawl THe InterNet !
usama13o/Web_Map_1.0
An interactive web map of the world with each country's population