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This blog category focuses on the research were are doing related to detection and early detection of leukemia.

So far our research in this area covers using Convolutional Neural Networks (CNNs) & Generative Adversarial Networks (GANs) for detecting Acute Lymphoblastic Leukemia.

2021-04-23
HIASHDI

A complete guide to linear regression using gene expression data for Acute Myeloid Leukemia: Part 2 — Fit and algorithm evaluation

Salvatore Raieli in Detection / Early Detection

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2021-04-03
HIASHDI

A complete guide to linear regression using gene expression data for Acute Myeloid Leukemia: Part 1 - An introduction

Salvatore Raieli in Detection / Early Detection

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2021-03-19
HIASHDI

DBSCAN and Gaussian Mixtures with gene expression data for Acute Myeloid Leukemia

Salvatore Raieli in Detection / Early Detection

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2021-02-22
HIASHDI

xDNN for SARS-CoV-2 identification in patient CT scans

Salvatore Raieli in Detection / Early Detection

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2021-02-08
HIASHDI

Complexity reduction techniques with gene expression data

Salvatore Raieli in Detection / Early Detection

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2020-10-30
HIASHDI

Artificial intelligence in leukemia

Salvatore Raieli in Detection / Early Detection

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2020-10-20
HIASHDI

Medical image diagnosis in leukemia

Salvatore Raieli in Detection / Early Detection

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2020-10-09
HIASHDI

Acute Myeloid Leukemia: A general introduction

Salvatore Raieli in Detection / Early Detection

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2020-03-06
HIASHDI

Acute Lymphoblastic Leukemia detection with Tensorflow

Adam Milton-Barker in Detection / Early Detection

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2020-01-19
HIASHDI

Acute Lymphoblastic Leukemia Papers Evaluation Part 2 Tensorflow 2.0

Adam Milton-Barker in Detection / Early Detection

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2020-01-19
HIASHDI

Acute Lymphoblastic Leukemia Papers Evaluation Part 1

Adam Milton-Barker in Detection / Early Detection

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2018-03-18
HIASHDI

Detecting Acute Lymphoblastic Leukemia Using Caffe*, OpenVINO™ and Intel® Neural Compute Stick 2: Part 2

Adam Milton-Barker in Detection / Early Detection

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