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:

Sonraí Bibleagrafaíochta
Príomhúdar:	Quyen, Hoang Vo
Formáid:	Bài viết
Teanga:	Vietnamese
Foilsithe:	2025
Ábhair:	Vietnam Journal of Science, Technology and Engineering - C
Rochtain Ar Líne:	https://scholar.dlu.edu.vn/thuvienso/handle/DLU123456789/270989
Clibeanna:	Cuir Clib Leis Gan Chlibeanna, Bí ar an gcéad duine leis an taifead seo a chlibeáil!

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

Míreanna Comhchosúla

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

Acute Promyelocytic Leukemia
le: Abla, Oussama, et al.
Foilsithe: (2020)

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

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

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

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

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

Chronic Lymphocytic Leukemia
le: Kaur, Prabhjot
Foilsithe: (2020)

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

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

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

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

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

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

Detection of Driver Sleepiness using Deep Learning
le: Trinh, Quang Tin
Foilsithe: (2023)

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

Malaria in South Asia
le: Akhtar, Rais, et al.
Foilsithe: (2020)

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

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

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

Hunting with the Microscope /
le: Johnson, Gaylord.
Foilsithe: (1956)

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

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

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

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

Building plant leaf disease detection system
le: Le, Du Hoang Vu
Foilsithe: (2024)

Microscopic anatomy of invertebrates
Foilsithe: (1992)

History of electron microscopes
le: Fujita, Hiroshi
Foilsithe: (1986)

Essentials of microscopic hematology
le: Nomura, Takeo
Foilsithe: (1991)

Microscopic theory of semiconductors

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

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

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

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

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

Basic malaria microscopy; Part 1
le: OMS

Basic malaria microscopy; Part 2
le: OMS

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

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

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