Fahad Ahmed's Projects
Cryptocurrency Mining Experiments on Google CoLab Notebooks
We are building an open database of COVID-19 cases with chest X-ray or CT images.
FLAIM - Machine LEarning Model for Intensive Care unit patients
Code for the Nature Scientific Reports paper "Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks." A sliding window framework for classification of high resolution whole-slide images, often microscopy or histopathology images.
Config files for my GitHub profile.
A set of codes to classify H&E slides using deep learning
Pathologist-level interpretable whole-slide cancer diagnosis with deep learning
A Python library for deep learning on whole-slide images
Week 3 assignment
Repository for Programming Assignment 2 for R Programming on Coursera
Python package for dealing with whole slide images (.svs) for machine learning, particularly for fast prototyping. Includes patch sampling and storing using OpenSlide. Patches may be stored in LMDB, HDF5 files, or to disk. It is highly recommended to fork and download this repository so that personal customisations can be made for your work.
Python Whole Slide Image Preprocessing
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
## Code for publication: "The use of text-mining and machine learning algorithms in systematic reviews: ## reducing workload in preclinical biomedical sciences and reducing human screening error" - Alexandra Bannach-Brown