Performance comparison of CNN architectures for detecting Malaria diseases

Performance comparison of CNN architectures for detecting Malaria diseases

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2020.

Bibliografiska uppgifter
Huvudupphovsmän:	Rinky, Habiba Karim, Bhuiyan, Rakeya Rahim, Rahman, Humayra Tasnim
Övriga upphovsmän:	Chakrabarty, Amitabha
Materialtyp:	Lärdomsprov
Språk:	English
Publicerad:	Brac University 2021
Ämnen:	Malaria Plasmodium falciparum Plasmodium vivax Plasmodium malaria Plasmodium ovale Deep learning
Länkar:	http://hdl.handle.net/10361/14725

Liknande verk

Malaria: transmission, diagnosis and treatment: A Review
av: Ritu, Sanjida Sultana, et al.
Publicerad: (2022)

Current status of malaria among the affected people of Bandarban region
av: Singha, Abhijit Kumar
Publicerad: (2018)

Prevention and treatment of malaria in endemic areas of Bangladesh: how are the NGO partners doing?
av: Ahmed, Syed Masud, et al.
Publicerad: (2019)

A review on artemisinin based combination therapy for the treatment of Malaria
av: Chowdhury, Amina Ferdous
Publicerad: (2020)

BRAC Malaria control programme
av: Rasid, Mohammd Harun-Or-
Publicerad: (2017)

Diseases to spread rapidly on insects: experts point at climate change
av: Palma, Porimol
Publicerad: (2016)

Disease: Social business for a malaria free world -BASF Grameen Limited
av: Munni, Sheikh Rubaiya Sultana, et al.
Publicerad: (2016)

An interpretable transformer based approach to classify Malaria from blood cell images
av: Islam, Mehafuza, et al.
Publicerad: (2023)

Knowledge, attitudes, and practices regarding malaria control among the slash and burn cultivators in Rangamati Hill tracts of Bangladesh
av: Saha, Avijit, et al.
Publicerad: (2022)

A short review on novel anti-malarial Heterocyclic aromatic therapeutic agents: synthesis, efficacy and effectiveness of potential drug candidates for malaria
av: Mondal, Anupam
Publicerad: (2019)

Communication for behavioural impact in enhancing utilization of insecticide-treated bed nets among mothers of under-five children in rural North Sudan: an experimental study
av: Elmosaad, Yousif Mohammed, et al.
Publicerad: (2018)

Climate change and vector-borne diseases in Bangladesh
av: Rahman, Mohammed Jahedur
Publicerad: (2014)

Application of CNN based architectures in detection of distracted drivers
av: Arafin, Irfana, et al.
Publicerad: (2023)

RetinalNet-500: a newly developed CNN model for eye disease detection
av: Toki, Sadikul Alim, et al.
Publicerad: (2023)

Intracranial hemorrhage detection using CNN-LSTM fusion model
av: Ahmed, Kazi sabab, et al.
Publicerad: (2022)

Recall-Net: A CNN-based Model for Four-class Classification of Alzheimer’s Disease
av: Hasan, M. M. Kamrul, et al.
Publicerad: (2022)

Cervical Cancer Detection from Cervix Image Using Pap smear Imaging through CNN
av: Bhuiyan, Mazedul Haque, et al.
Publicerad: (2021)

Explainable AI (XAI) driven skin cancer detection using transformer and CNN based architecture
av: Radiah, Faiza, et al.
Publicerad: (2024)

ProteoKnight: phage virion protein classification with CNN and uncertainty quantification
av: Bhuiyan, Abir Ahammed, et al.
Publicerad: (2024)

Analysis of transformer and CNN based approaches for classifying renal abnormality from image data
av: Reza, S. M. Mushfiq, et al.
Publicerad: (2024)

Comparison of different CNN architectures for brain tumor detection using fMRI
av: Mashiat, Afsara, et al.
Publicerad: (2021)

Detection of alzheimer's disease using deep learning
av: Hasan, Mahmudul, et al.
Publicerad: (2021)

Malaria, Poems
av: Conaway

Malaria Journal

Malaria Journal

An enhanced CNN model for classifying skin cancer
av: Haider, Kazi MD Minhajul, et al.
Publicerad: (2022)

Corn leaf disease detection using deep convolution neural network
av: Rabbi, Rawhatur, et al.
Publicerad: (2023)

An efficient deep learning approach to detect citrus leaves disease
av: Emon, Shaharear Hossain, et al.
Publicerad: (2024)

Occluded object detection for autonomous vehicles employing YOLOv5, YOLOX and Faster R-CNN
av: Mostafa, Tanzim, et al.
Publicerad: (2022)

Leveraging deep learning algorithms for the timely detection of diseases in bean leaves
av: Fiona, Driciru, et al.
Publicerad: (2024)

An implementation and analysis of deep learning models for the detection of wheat diseases
av: Zubair, Ahmad, et al.
Publicerad: (2024)

Pneumonia Disease detection using the convolutional neural network
av: Ashrafee, Md. Iftid, et al.
Publicerad: (2024)

Anomalous behavior detection using Spatio temporal Feature and 3D CNN model for Surveillance
av: Nahar, Jannatun, et al.
Publicerad: (2022)

Skin disease detection and classification using deep learning
av: Shuvon, Mehedi Hasan, et al.
Publicerad: (2022)

Multi-classification Network for Detecting Skin Diseases using Deep Learning and XAI
av: Athina, Fahima Hasan, et al.
Publicerad: (2022)

Malware detection in blockchain using CNN
av: Alam, Afreen, et al.
Publicerad: (2021)

A deep learning approach towards soft biometrics attributes prediction using CNN
av: Kibria, Maharab, et al.
Publicerad: (2022)

Malaria Journal | BMC

Malaria Journal | BMC

A modern technique to detect potholes by Computer Vision and Deep Learning
av: Saif, Muntasir Mahmud, et al.
Publicerad: (2023)