A survey on image segmentation of blood and bone marrow smear images with emphasis to automated detection of Leukemia
KK Anilkumar, VJ Manoj, TM Sagi - Biocybernetics and Biomedical …, 2020 - Elsevier
Leukemia is an abnormal proliferation of leukocytes in the bone marrow and blood and it is
usually diagnosed by the pathologists by observing the blood smear under a microscope …
usually diagnosed by the pathologists by observing the blood smear under a microscope …
Automated diagnosis of leukemia: a comprehensive review
Leukemia is the rapid production of abnormal white blood cells that consequently affects the
blood and damages the bone marrow. The overproduction of abnormal and immature white …
blood and damages the bone marrow. The overproduction of abnormal and immature white …
Efficient classification of white blood cell leukemia with improved swarm optimization of deep features
Abstract White Blood Cell (WBC) Leukaemia is caused by excessive production of
leukocytes in the bone marrow, and image-based detection of malignant WBCs is important …
leukocytes in the bone marrow, and image-based detection of malignant WBCs is important …
An efficient deep convolutional neural network based detection and classification of acute lymphoblastic leukemia
Automated and accurate diagnosis of Acute Lymphoblastic Leukemia (ALL), blood cancer, is
a challenging task. Nowadays, Convolutional Neural Networks (CNNs) have become a …
a challenging task. Nowadays, Convolutional Neural Networks (CNNs) have become a …
LeuFeatx: Deep learning–based feature extractor for the diagnosis of acute leukemia from microscopic images of peripheral blood smear
The abnormal growth of leukocytes causes hematologic malignancies such as leukemia.
The clinical assessment methods for the diagnosis of the disease are labor-intensive and …
The clinical assessment methods for the diagnosis of the disease are labor-intensive and …
A novel method for detection of tuberculosis in chest radiographs using artificial ecosystem-based optimisation of deep neural network features
Tuberculosis (TB) is is an infectious disease that generally attacks the lungs and causes
death for millions of people annually. Chest radiography and deep-learning-based image …
death for millions of people annually. Chest radiography and deep-learning-based image …
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 …
New segmentation and feature extraction algorithm for classification of white blood cells in peripheral smear images
This article addresses a new method for the classification of white blood cells (WBCs) using
image processing techniques and machine learning methods. The proposed method …
image processing techniques and machine learning methods. The proposed method …
An efficient detection and classification of acute leukemia using transfer learning and orthogonal softmax layer-based model
For the early diagnosis of hematological disorders like blood cancer, microscopic analysis of
blood cells is very important. Traditional deep CNNs lead to overfitting when it receives …
blood cells is very important. Traditional deep CNNs lead to overfitting when it receives …
Ensemble learning driven computer-aided diagnosis model for brain tumor classification on magnetic resonance imaging
T Vaiyapuri, J Mahalingam, S Ahmad… - IEEE …, 2023 - ieeexplore.ieee.org
Brain tumour (BT) detection involves the process of identifying the presence of a brain
tumour in medical imaging, such as MRI scans. BT detection often relies on medical imaging …
tumour in medical imaging, such as MRI scans. BT detection often relies on medical imaging …