Machine learning in detection and classification of leukemia using smear blood images: a systematic review
Introduction. The early detection and diagnosis of leukemia, ie, the precise differentiation of
malignant leukocytes with minimum costs in the early stages of the disease, is a major …
malignant leukocytes with minimum costs in the early stages of the disease, is a major …
Systematic review of an automated multiclass detection and classification system for acute Leukaemia in terms of evaluation and benchmarking, open challenges …
This study aims to systematically review prior research on the evaluation and benchmarking
of automated acute leukaemia classification tasks. The review depends on three reliable …
of automated acute leukaemia classification tasks. The review depends on three reliable …
[Retracted] Unsupervised Hyperspectral Microscopic Image Segmentation Using Deep Embedded Clustering Algorithm
Hyperspectral microscopy in biology and minerals, unsupervised deep learning neural
network denoising SRS photos: hyperspectral resolution enhancement and denoising one …
network denoising SRS photos: hyperspectral resolution enhancement and denoising one …
Automatic COVID-19 lung infected region segmentation and measurement using CT-scans images
History shows that the infectious disease (COVID-19) can stun the world quickly, causing
massive losses to health, resulting in a profound impact on the lives of billions of people …
massive losses to health, resulting in a profound impact on the lives of billions of people …
Classification of acute lymphoblastic leukemia using deep learning
Acute Leukemia is a life‐threatening disease common both in children and adults that can
lead to death if left untreated. Acute Lymphoblastic Leukemia (ALL) spreads out in children's …
lead to death if left untreated. Acute Lymphoblastic Leukemia (ALL) spreads out in children's …
Deep learning approach to peripheral leukocyte recognition
Q Wang, S Bi, M Sun, Y Wang, D Wang, S Yang - PloS one, 2019 - journals.plos.org
Microscopic examination of peripheral blood plays an important role in the field of diagnosis
and control of major diseases. Peripheral leukocyte recognition by manual requires medical …
and control of major diseases. Peripheral leukocyte recognition by manual requires medical …
A lightweight deep learning system for automatic detection of blood cancer
Microscopic analysis of blood-cells is an essential and vital task for the early diagnosis of life-
threatening hematological disorders like blood cancer (leukemia). We have presented an …
threatening hematological disorders like blood cancer (leukemia). We have presented an …
A deep learning framework for leukemia cancer detection in microscopic blood samples using squeeze and excitation learning
Leukemia is a fatal category of cancer‐related disease that affects individuals of all ages,
including children and adults, and is a significant cause of death worldwide. Particularly, it is …
including children and adults, and is a significant cause of death worldwide. Particularly, it is …
[HTML][HTML] A mobile application based on efficient lightweight CNN model for classification of B-ALL cancer from non-cancerous cells: A design and implementation …
Background B-cell acute lymphoblastic leukemia (B-ALL) is one of the most widespread
cancers, and its definitive diagnosis demands invasive and costly diagnostic tests with side …
cancers, and its definitive diagnosis demands invasive and costly diagnostic tests with side …
Mutual information based hybrid model and deep learning for acute lymphocytic leukemia detection in single cell blood smear images
KK Jha, HS Dutta - Computer methods and programs in biomedicine, 2019 - Elsevier
Background and objective Due to the development in digital microscopic imaging, image
processing and classification has become an interesting area for diagnostic research …
processing and classification has become an interesting area for diagnostic research …