Improving Malaria Detection Using L1 Regularization Neural Network

Ghazala Hcini; Imen Jdey; Hela Ltifi

doi:10.3897/jucs.81681

Research Article

JUCS - Journal of Universal Computer Science 28(10): 1087-1107
https://doi.org/10.3897/jucs.81681 (28 Oct 2022)

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Imen Jdey, Ghazala Hcini, Hela Ltifi (2024)
Deep Learning and Machine Learning for Malaria Detection: Overview, Challenges and Future Directions. International Journal of Information Technology & Decision Making 23: 1745.

DOI: 10.1142/S0219622023300045

Dhevisha Sukumarran, Khairunnisa Hasikin, Anis Salwa Mohd Khairuddin, Romano Ngui, Wan Yusoff Wan Sulaiman, Indra Vythilingam, Paul C.S. Divis (2024)
Machine and deep learning methods in identifying malaria through microscopic blood smear: A systematic review. Engineering Applications of Artificial Intelligence 133: 108529.

DOI: 10.1016/j.engappai.2024.108529

Walid Brahmi, Imen Jdey, Fadoua Drira (2024)
Exploring the role of Convolutional Neural Networks (CNN) in dental radiography segmentation: A comprehensive Systematic Literature Review. Engineering Applications of Artificial Intelligence 133: 108510.

DOI: 10.1016/j.engappai.2024.108510

Ghazala Hcini, Imen Jdey, Habib Dhahri (2024)
Investigating Deep Learning for Early Detection and Decision-Making in Alzheimer’s Disease: A Comprehensive Review. Neural Processing Letters 56: .

DOI: 10.1007/s11063-024-11600-5

Walid Brahmi, Imen Jdey (2023)
Automatic tooth instance segmentation and identification from panoramic X-Ray images using deep CNN. Multimedia Tools and Applications 83: 55565.

DOI: 10.1007/s11042-023-17568-z

Emmanuel Ahishakiye, Fredrick Kanobe, Danison Taremwa, Bartha Alexandra Nantongo, Leonard Nkalubo, Shallon Ahimbisibwe (2025)
Enhancing malaria detection and classification using convolutional neural networks-vision transformer architecture. Discover Applied Sciences 7: .

DOI: 10.1007/s42452-025-06704-z

José-Francisco Díez-Pastor, Pedro Latorre-Carmona, Álvar Arnaiz-González, Antonio Canepa-Oneto, Javier Ruiz-Pérez, Débora Zurro (2024)
Towards automatic phytolith classification using feature extraction and combination strategies. Progress in Artificial Intelligence 13: 217.

DOI: 10.1007/s13748-024-00331-2

Anjaneyulu Madugula, Umesh Chandra Surepally, Srinith Aleti, Buddai Hrishitej, Kamalakannan Maithili, Zaid Alsalami, Saurabh Dhyani, Balpreet Singh (2025)
Detecting malaria parasite in blood smears through enhanced deep learning techniques. 16TH INTERNATIONAL CONFERENCE ON MATERIALS PROCESSING AND CHARACTERIZATION 2024 3263: 080008.

DOI: 10.1063/5.0266430

Ghazala Hcini, Imen Jdey, Hela Ltifi (2023)
HSV-Net: A Custom CNN for Malaria Detection with Enhanced Color Representation. 2023 International Conference on Cyberworlds (CW) : 337.

DOI: 10.1109/CW58918.2023.00059

Rahmat Hidayat, Achmad Solichin, Adhitia Erfina, Sudin Saepudin, Muhamad Muslih, Mohd Zainuri Saringat (2024)
Implementation of Malaria Detection Using MobileNetV2 Pretrained Model for Improved Deep Learning Based Diagnostics. 2024 10th International Conference on Computing, Engineering and Design (ICCED) : 1.

DOI: 10.1109/ICCED64257.2024.10983858