A deep learning approach in detection of malaria and acute lymphoblastic leukemia diseases utilising blood smear microscopic images

Mã QR

A deep learning approach in detection of malaria and acute lymphoblastic leukemia diseases utilising blood smear microscopic images

Đã lưu trong:

Bibliografiske detaljer
Hovedforfatter:	Quyen, Hoang Vo
Format:	Bài viết
Sprog:	Vietnamese
Udgivet:	2025
Fag:	Vietnam Journal of Science, Technology and Engineering - C
Online adgang:	https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/270989
Tags:	Tilføj Tag Ingen Tags, Vær først til at tagge denne postø!

Thư viện lưu trữ:	Thư viện Trường Đại học Đà Lạt

Lignende værker

Deep Learning-Based Approach for Automatic Detection of Malaria in Peripheral Blood Smear Images
af: Pham, Vu Thu Nguyet, et al.
Udgivet: (2023)

Acute Promyelocytic Leukemia
af: Abla, Oussama, et al.
Udgivet: (2020)

Automated Detection of White Blood Cells and Platelets From Microscopic Images using Deep Learning Models
af: Nguyen, Xuan Mai Thao, et al.
Udgivet: (2024)

An Improved Transfer Learning-Based Approach for Detecting Abnormal Cervical Cells from Pap Smear Microscopic Images
af: Le, Thi Thu Nga, et al.
Udgivet: (2023)

Treatment adherence of outpatients with chronic myeloid leukemia at National institute of Hematology & Blood transfusion
af: Cao, Sy Trung, et al.
Udgivet: (2025)

Incidence of acute myeloid leukemia and hepatocellular carcinoma in mice irradiated with 1 gev/nucleon 56Fe ions /

Neoplastic Diseases of the Blood
af: Wiernik, Peter H., et al.
Udgivet: (2020)

Chronic Lymphocytic Leukemia
af: Kaur, Prabhjot
Udgivet: (2020)

A handbook of heart disease, blood pressure and strokes /
af: Dalonzo, C. Anthony.
Udgivet: (1960)

Optical detection in microscopic domains. 3. Confocal analysis of fluorescent amphiphilic molecules /
af: Yoshida, Makoto.

Diversity, Dynamics and Functional Role of Actinomycetes on European Smear Ripened Cheeses
af: Bora, Nagamani, et al.
Udgivet: (2015)

Application of deep learning in chest X-ray abnormality detection
af: Nhan, Ngo, et al.
Udgivet: (2025)

Methodology of protistan discovery : From rRNA detection to quality scanning electron microscope images /
af: Stoeck, Thorsten.

Network Intrusion Detection using Deep Learning
af: Kim, Kwangjo, et al.
Udgivet: (2020)

Detection of Driver Sleepiness using Deep Learning
af: Trinh, Quang Tin
Udgivet: (2023)

Deep feature extractors for small object detection in aerial images
af: Nguyen, Hai Q., et al.
Udgivet: (2021)

Malaria in South Asia
af: Akhtar, Rais, et al.
Udgivet: (2020)

Bridge Crack Detection based on Deep Learning and Drone
af: Ngo, Long, et al.
Udgivet: (2022)

Effect of plumbagin on growth inhibition and apoptosis of imatinib-resistant chronic myeloid leukemia
af: Bui, Thi Kim Ly, et al.
Udgivet: (2024)

Deep Convolutional Neural Network for Diseases Diagnosis on Plants
af: Le, Thi Thu Nga, et al.
Udgivet: (2022)

Hunting with the Microscope /
af: Johnson, Gaylord.
Udgivet: (1956)

Disease Detectives ; Your Career in Medical Research /
af: Neal, Harry Edward.
Udgivet: (1959)

Improvement detection abbility of network attacks by deep learning
af: Tô, Trọng Tín, et al.
Udgivet: (2024)

Building a Deep Learning Model for Diagnosing Skin Diseases
af: Dang, Phuoc Tien
Udgivet: (2025)

PCR-restriction fragment length polymorphism method for detection of cyclospora cayetanensis in environmental waters without microscopic confirmation /
af: Shields, Joan M.

Building plant leaf disease detection system
af: Le, Du Hoang Vu
Udgivet: (2024)

Microscopic anatomy of invertebrates
Udgivet: (1992)

History of electron microscopes
af: Fujita, Hiroshi
Udgivet: (1986)

Essentials of microscopic hematology
af: Nomura, Takeo
Udgivet: (1991)

Microscopic theory of semiconductors

APPLICATION DEEP LEARNING YOLOv8 MODEL FOR OBJECT DETECTION
af: Thi, Thanh Thuy Pham, et al.
Udgivet: (2025)

Automatic Detection of Pineapple's Growth Stage using Deep Learning
af: Bui, Xuan Thien, et al.
Udgivet: (2021)

Optimising Deep Learning for Wearable Sensor-Based Fall Detection
af: Zhou, Hong, et al.
Udgivet: (2024)

A Comparative Study of Deep Learning Methods for Cyberbullying Detection
af: Dang, Thi Kim Ngan, et al.
Udgivet: (2025)

Radiofrequency-radiation exposure does not induce detectable leakage of albumin across the blood-brain barrier /

Basic malaria microscopy; Part 1
af: OMS

Basic malaria microscopy; Part 2
af: OMS

Complement Activation in Malaria Immunity and Pathogenesis
af: Stoute, José A.
Udgivet: (2020)

Development of a Fake News Detection Tool for Vietnamese Based on Deep Learning Techniques
af: Vo, Trung Hung, et al.
Udgivet: (2023)

Microscopic determination of the ore minerals /
af: Short, M. N.
Udgivet: (1964)