Topic: acute-lymphoblastic-leukemia Goto Github
Some thing interesting about acute-lymphoblastic-leukemia
Some thing interesting about acute-lymphoblastic-leukemia
acute-lymphoblastic-leukemia,The ALL Arduino Nano 33 BLE Sense Classifier is an experiment to explore how low powered microcontrollers, specifically the Arduino Nano 33 BLE Sense, can be used to detect Acute Lymphoblastic Leukemia.
Organization: amlresearchproject
acute-lymphoblastic-leukemia,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.
Organization: amlresearchproject
Home Page: https://www.petermossamlallresearch.com/research/
acute-lymphoblastic-leukemia,Acute Lymphoblastic Leukemia Detection System 2020 uses Tensorflow 2 & Oculus Rift to provide a virtual detection system. Project by Adam Milton-Barker.
Organization: amlresearchproject
acute-lymphoblastic-leukemia,A series of Acute Lymphoblastic Leukemia CNNs programmed in Python using FastAI. Project by team member Salvatore Raieli.
Organization: amlresearchproject
Home Page: https://www.petermossamlallresearch.com/research/
acute-lymphoblastic-leukemia,An Acute Lymphoblastic Leukemia classifier developed for the NVIDIA Jetson Nano. Jetson AI Certification project by Adam Milton-Barker.
Organization: amlresearchproject
acute-lymphoblastic-leukemia,A repository dedicated to sharing the AML/ALL related public information, papers, code and datasets that we come across through R&D.
Organization: amlresearchproject
Home Page: https://www.petermossamlallresearch.com/research/
acute-lymphoblastic-leukemia,Source code for the 2022 CIVEMSA paper "ALLNet: Acute Lymphoblastic Leukemia detection using lightweight convolutional networks"
User: angelounimi
Home Page: https://iebil.di.unimi.it/cnnALL/index.htm
acute-lymphoblastic-leukemia,Source code for the 2021 ICASSP paper "Acute Lymphoblastic Leukemia detection based on adaptive unsharpening and Deep Learning"
User: angelounimi
Home Page: https://iebil.di.unimi.it/cnnALL/index.htm
acute-lymphoblastic-leukemia,Source code for the 2021 CIVEMSA paper "Histopathological transfer learning for Acute Lymphoblastic Leukemia detection"
User: angelounimi
Home Page: https://iebil.di.unimi.it/cnnALL/index.htm
acute-lymphoblastic-leukemia,Using a Deep Learning CNN to detect acute lymphoblastic leukemia (ALL) from blood microscopy
User: arencarpenter
acute-lymphoblastic-leukemia,Molecular Diagnosis (MD) of Acute Lymphoblastic Leukemia (ALL): An integrative ALL classification system based on RNA-seq.
User: gu-lab20
acute-lymphoblastic-leukemia,Combines Magic Leap's Spacial Computing technologies with Intel's oneAPI, OpenVINO & Neural Compute Stick to provide real-time classification of Acute Lymphoblastic Leukemia Lymphoblasts in peripheral blood samples within a Mixed Reality environment.
Organization: leukaemiamedtech
acute-lymphoblastic-leukemia,Combines Oculus Rift's Virtual Reality technologies with Intel's oneAPI, OpenVINO & Neural Compute Stick to provide real-time classification of Acute Lymphoblastic Leukemia Lymphoblasts in peripheral blood samples within a Virtual Reality environment.
Organization: leukaemiamedtech
acute-lymphoblastic-leukemia,Classifiers created with Tensorflow 2 and using Fabio Scotti's ALL-IDB (Acute Lymphoblastic Leukemia Image Database for Image Processing) dataset.
Organization: leukaemiamedtech
Home Page: https://www.leukemiaresearchassociation.ai/
acute-lymphoblastic-leukemia,A HIAS compatible Acute Lymphoblastic Leukemia classifier trained using Intel Distribution for Python and Intel Optimized Tensorflow. Uses OpenVINO to deploy the model to a Raspberry Pi and Neural Compute Stick 2 for inference on the edge.
Organization: leukaemiamedtech
acute-lymphoblastic-leukemia,A free information application for Magic Leap 1 providing basic information in Mixed Reality about Leukemia, Haemopoiesis, Acute Myeloid & Lymphoblastic Leukemia
Organization: leukaemiamedtech
Home Page: https://www.leukemiaairesearch.com/research/project/leukemia-ai-research/leukemia-in-mixed-reality
acute-lymphoblastic-leukemia,This project is an application designed for complete blood cell counting and automated detection of Acute Lymphoblastic Leukemia (ALL) cells. It works by identifying different types of white blood cells, allowing for the extraction of lymphocyte cells. These cells can then be classified as either normal or indicative of ALL
User: medmabcf
acute-lymphoblastic-leukemia,Blood cancer is an uprising issue and doing physical medical procedures is too sensitive and time-consuming to detect any blast cell. Manual testing includes blood tests, spinal fluid tests, bone marrow tests, imaging tests, etc. A solution to this is to use modern methods in health care that help to detect diseases faster and increase the cure rate. This can be done using numerous machine learning and image processing techniques.
User: omkar6141
acute-lymphoblastic-leukemia,
User: solonkarapa
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