Peter Moss Acute Myeloid & Lymphoblastic Leukemia AI Research Project
Grow your team on GitHub
GitHub is home to over 50 million developers working together. Join them to grow your own development teams, manage permissions, and collaborate on projects.
Sign up
Pinned repositories
Repositories
-
ALL-C-NMC-2020
A series of Acute Lymphoblastic Leukemia CNNs trained with the C-NMC Dataset by University of Arkansas for Medical Sciences (UAMS). The projects are programmed in Python using various frameworks.
-
Magic-Leap-1-ALL-Detection-System-2020
Acute Lymphoblastic Leukemia Detection System 2020 uses Tensorflow 2 & Magic Leap to provide a mixed reality detection system. Project by Adam Milton-Barker.
-
oneAPI-ALL-Classifier
An Acute Lymphoblastic Leukemia classifier trained using Intel Distribution for Python and Intel Optimized Tensorflow (Tensorflow 2.1), and using OpenVINO to deploy the model on UP2 & Raspberry Pi.
-
ALL-FastAI-2020
A series of Acute Lymphoblastic Leukemia CNNs programmed in Python using FastAI. Project by team member Salvatore Raieli.
-
Tensorflow-ALL-Segmentation-2020
Acute Lymphoblastic Leukemia classification using segmentation and the Acute Lymphoblastic Leukemia Image Database for Image Processing dataset. Programmed in Python using Tensorflow.
-
PyTorch-ALL-Segmentation-2020
Acute Lymphoblastic Leukemia classification using segmentation and the Acute Lymphoblastic Leukemia Image Database for Image Processing dataset. Programmed in Python using PyTorch. Project by Allen Akhaumere & Juan Carlos Carrasco-Giménez.
-
ALL-PyTorch-2020
An Acute Lymphoblastic Leukemia CNN programmed in Python using PyTorch and the Acute Lymphoblastic Leukemia Image Database for Image Processing dataset. Project by Allen Akhaumere.
-
AML-Tensorflow-2020
A Tensorflow 2 project based on the research outlined in Human-level recognition of blast cells in the Acute myeloid leukemia with convolutional neural networks paper by Christian Matek, Simone Schwarz, Karsten Spiekermann , and Carsten Marr.
-
AML-Genomics-2020
An Acute Myeloid Leukemia diagnostics project based on the research outlined in Scalable Prediction of Acute Myeloid Leukemia Using High-Dimensional Machine Learning and Blood Transcriptomics by Stefanie WarnatHerresthal, Konstantinos Perrakis, Bernd Taschler, Torsten Haferlach, Sach Mukherjee & Joachim L. Schultze.
-
ALL-FastAI-2019
A series of Acute Lymphoblastic Leukemia CNNs programmed in Python using FastAI. Project by team member Salvatore Raieli.
-
ALL-Tensorflow-2020
An Acute Lymphoblastic Leukemia CNN based on the proposed architecture in the Acute Leukemia Classification Using Convolution Neural Network In Clinical Decision Support System paper, using the Acute Lymphoblastic Leukemia Image Database for Image Processing dataset. Project by Adam Milton-Barker.
-
ALL-Classifiers-2019
A collection of computer vision projects for Acute Lymphoblastic Leukemia classification/early detection.
-
ALL-Detection-System-2019
Intel DevMesh AI Spotlight Award winner. Acute Lymphoblastic Leukemia Detection System 2019 uses Tensorflow 1.4.1 & Neural Compute Stick 1 to provide an intelligent network and diagnosis system. Project by Adam Milton-Barker.
-
Oculus-Rift-ALL-Detection-System-2020
Acute Lymphoblastic Leukemia Detection System 2020 uses Tensorflow 2 & Oculus Rift to provide a virtual detection system. Project by Adam Milton-Barker.
-
AML-ALL-Drug-Discovery
The Peter Moss Acute Myeloid/Lymphoblastic Leukemia Drug Discovery repository is collection of research and development projects for drug discovery, identifying possible candidates for drugs to help combat Acute Myeloid & Acute Lymphoblastic Leukemia.
-
AML-ALL-Research-Archive
A repository dedicated to sharing the AML/ALL related public information, papers, code and datasets that we come across through R&D.
-
AML-ALL-Conversational-Agent
Conversational Agent trained with information about Acute Myeloid & Lymphoblastic Leukemia.
-
AML-ALL-AI-Student-Program
The Peter Moss Aml/All AI Student Program repository is a place for students to share their work from the program.