Leukemia diagnosis in blood slides using transfer learning in CNNs and SVM for classification

LHS Vogado, RMS Veras, FHD Araujo… - … Applications of Artificial …, 2018 - Elsevier
Leukemia is a pathology that affects young people and adults, causing premature death and
several other symptoms. Computer-aided systems can be used to reduce the possibility of …

Computer assisted classification framework for prediction of acute lymphoblastic and acute myeloblastic leukemia

J Rawat, A Singh, HS Bhadauria, J Virmani… - Biocybernetics and …, 2017 - Elsevier
Hematological malignancies ie acute lymphoid leukemia and acute myeloid leukemia are
the types of blood cancer that can affect blood, bone marrow, lymphatic system and are the …

Assessing the impact of data augmentation and a combination of CNNs on leukemia classification

ML Claro, R de MS Veras, AM Santana, LHS Vogado… - Information …, 2022 - Elsevier
An accurate early-stage leukemia diagnosis plays a critical role in treating and saving
patients' lives. The two primary forms of leukemia are acute and chronic leukemia, which is …

An automatic and robust decision support system for accurate acute leukemia diagnosis from blood microscopic images

Z Moshavash, H Danyali, MS Helfroush - Journal of digital imaging, 2018 - Springer
This paper proposes an automatic and robust decision support system for accurate acute
leukemia diagnosis from blood microscopic images. It is a challenging issue to segment …

Diagnosis of leukaemia in blood slides based on a fine-tuned and highly generalisable deep learning model

L Vogado, R Veras, K Aires, F Araújo, R Silva, M Ponti… - Sensors, 2021 - mdpi.com
Leukaemia is a dysfunction that affects the production of white blood cells in the bone
marrow. Young cells are abnormally produced, replacing normal blood cells. Consequently …

A new acute leukaemia-automated classification system

S Agaian, M Madhukar… - Computer Methods in …, 2018 - Taylor & Francis
Acute leukaemia is a type of cancer that affects the blood and the bone marrow. Detection
and classification of white blood cells is a challenge in image processing, as manual data …

Convolution neural network models for acute leukemia diagnosis

M Claro, L Vogado, R Veras, A Santana… - … on systems, signals …, 2020 - ieeexplore.ieee.org
Acute leukemia is a cancer-related to a bone marrow abnormality. It is more common in
children and young adults. This type of leukemia generates unusual cell growth in a short …

Automated detection of white blood cells cancer diseases

H Mohamed, R Omar, N Saeed… - … workshop on deep …, 2018 - ieeexplore.ieee.org
Automated diagnosis of white blood cells cancer diseases such as Leukemia and Myeloma
is a challenging biomedical research topic. Our approach presents for the first time a new …

The best texture features for leukocytes recognition

O Sarrafzadeh, AM Dehnavi, HY Banaem… - Journal of Medical …, 2017 - journals.lww.com
Background: Differential counting of white blood cells (WBCs or leukocytes) is a common
task to diagnose many diseases such as leukemia, and infections. An accurate process for …

Rede neural convolucional para o diagnóstico de leucemia

LHS Vogado, RMS Veras, FHD Araujo… - Simpósio Brasileiro de …, 2019 - sol.sbc.org.br
A leucemia é um tipo de câncer que afeta a produção de células san-guíneas na médula
óssea o que dificulta a coagulação do sangue e o combate a infecções. Nesse trabalho …