Analyzing Acute Lymphoblastic Leukemia Across Multiple Classes Using an Enhanced Deep Convolutional Neural Network on Blood Smear-Reference-Cited by-同舟云学术

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Analyzing Acute Lymphoblastic Leukemia Across Multiple Classes Using an Enhanced Deep Convolutional Neural Network on Blood Smear

Published:2024-06-28 Issue: Volume:8 Page:1-6
ISSN:
Container-title:2024 IEEE International Conference on Information Technology, Electronics and Intelligent Communication Systems (ICITEICS)
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Author:

Pawar Janardan¹,Bhosle Amol A.²,Gupta Priyanka³,Mehta Shiyal Hemant⁴,Borate Vishal Kisan⁵,Mali Yogesh Kisan⁶

Affiliation:

1. Indira College of Commerce & Science,Department of Computer Science,India

2. MIT Art Design and Technology University,Department of Computer Science and Engineering,Pune,India

3. Dr. D Y Patil Institute of technology,Pimpri, Pune,India

4. School of Engineering & Technology,Ambi, Pune,India

5. Dr D Y Patil College of Engineering & Innovation,Talegaon, Pune,India

6. G.H Raisoni Institute of Engineering and Management,Wagholi, Pune,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10624684/10624740/10624915.pdf?arnumber=10624915

Reference30 articles.

1. Assessing Smoking Status and Risk of SARS-CoV-2 Infection: A Machine Learning Approach among Veterans

2. Use of CAR T-cell for acute lymphoblastic leukemia (ALL) treatment: a review study

3. A Novel Efficient Video Smoke Detection Algorithm Using Co-occurrence of Local Binary Pattern Variants

4. Data Security in Cloud;Hajare;International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT),2021

5. Skin Impedance Technique to Detect Hand-Glove Rupture

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