Microscopic brain tumor detection and classification using 3D CNN and feature selection architecture

Author:

Rehman Amjad1ORCID,Khan Muhammad Attique2ORCID,Saba Tanzila1ORCID,Mehmood Zahid3ORCID,Tariq Usman4ORCID,Ayesha Noor5

Affiliation:

1. Artificial Intelligence & Data Analytics Lab CCIS Prince Sultan University Riyadh Saudi Arabia

2. Department of Computer Science HITEC University Taxila Pakistan

3. Department of Computer Engineering University of Engineering and Technology Taxila Pakistan

4. College of Computer Engineering and Science Prince Sattam bin Abdulaziz University Saudi Arabia

5. School of Clinical Medicine Zhengzhou University Zhengzhou China

Publisher

Wiley

Subject

Medical Laboratory Technology,Instrumentation,Histology,Anatomy

Reference68 articles.

1. Plasmodium life cycle stage classification based quantification of malaria parasitaemia in thin blood smears;Abbas N.;Microscopy Research and Technique,2018

2. Machine aided malaria parasitemia detection in Giemsa-stained thin blood smears

3. Plasmodium species aware based quantification of malaria parasitemia in light microscopy thin blood smear

4. An automated nuclei segmentation of leukocytes from microscopic digital images;Abbas N.;Pakistan Journal of Pharmaceutical Sciences,2019

5. An innovative technique for contrast enhancement of computed tomography images using normalized gamma‐corrected contrast‐limited adaptive histogram equalization;Al‐Ameen Z.;EURASIP Journal on Advances in Signal Processing,2015

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